SlideShare a Scribd company logo
1 of 20
Download to read offline
The CARDIONICS systems for ECG Labs


1. ECG Centralisation software.

The ECG data server allows the centralisation of the recordings and the centralisation of the
information concerning the studies. The supervisor of the installation will define:
    The list of users
    The list of the current studies
    The type of access to the data’s.




For each study, the supervisor has to define the directory (source of the data’s). This means the place
where the acquisition system (CardioPlug and/or CarTouch) will transfer the files. The supervisor can
then define a specific arborescence with regard to the sequential access to the data’s. This allows
making it obligatory to validate the data’s (confirmation of the measures by the cardiologist and/or the
diagnostic help given by the automatic software’s) and to follow the evolution of the data’s.




                                                                                                      1
Here is an example of arborescence:




Another directory allows saving the configuration of the installation, and the database of the
voluntaries taking part to studies. The voluntary is identified in using a barcode of an ID card. The
information about the voluntary is recorded in an « Access » database .




                                                                                                   2
The Visit Management Software:

      The supervisor has also the possibility to define the planning of the visit for the study.
      For regular visits, the supervisor can define the time of the visit (absolute or relative to the drug
      delivery time), and ask for the automatic creation of a standard ECG linked to the visit (with or
      without the print).




Three types of visits are foreseen:
Regular visits: defined with regard to the parameters of the study.
Retest visits: allow to do a regular visit several times.
Unscheduled visit: allow doing a visit which is not foreseen in the protocol of the study.

The list of studies can be exported in a « *.vst » file and can be used during the configuration of the
CarTouch device.




                                                                                                          3
2. ECG acquisition with the CardioPlug.

The acquisition system CardioPlug allows to record standard ECG (12 leads, 10 seconds 500 Hz) and
long term ECG (several minutes or several hours of recording).




The acquisition box CardioPlug is connected to the USB port of the computer. Then, the user chooses
the current study and identifies the patient with a barcode. The 12 leads ECG traces are displayed on
the screen during the recording session. This allows the user to check the trace in real time. He can ask
for a print at any time (10 seconds of the 12 leads, or 2 minutes for 12/3/1 lead(s)).




                                                                                                       4
The user can record automatically or manually a basic ECG for each visit (12 leads, 10 seconds 500
     Hz). These data files are recorded on the local disk and then transferred on the ECG data server
     according to its availability.




     The user can also record the ECG in real time on the hard disk. Thus, in a transparent way for the
     volunteer and the user, the ECG’s data (12 leads 500Hz) are registered in data files at the format
     ISHNE. During the acquisition, the user can interrupt and then resume the recording to allow the
     volunteer to stay away for one moment. The data files’ size will depend on the duration of the
     recording (for information, one hour of registration corresponds to a data file of 27.5Mo). These data
     files are recorded on the local disk, and then transferred at the end of the recording on the online data-
     base service ECG, according to its availability.

A dialog box will appear for each visit during the recording of a standard ECG (12 leads, 10 seconds 500
Hz). This dialog box allows defining the type of the visit and the name of the visit. The software manages
automatically the visits with regard to the volunteer, this:
  -    Reduce the sources of error (concerning the visit realised).
  -    Avoid the realisation of the same visit several times.




                                                                                                             5
During the acquisition of the lead (real time visualisation on the lead), it is possible to see the measures
corresponding to the 10 seconds ECG selected. This will avoid printing this ECG.




      CARDIONICS advise to record the plot ECG during the first administration to man, during a duration
      corresponding at least to the molecule’s half life.
      These long term recordings will permit a detailed study of the segment QT at the end of the study
      (retrospective analysis).




                                                                                                               6
3. CardioPlug: management of network workstations

This application allows displaying on a central computer in real time the recorded leads which are
displayed on the 12 other CardioPlug acquisition systems.




The user can, at a glance, follow the evolution of the leads. Moreover, from this screen, the user can:
- Start up or interrupt the long term recording of one of the CardioPlug acquisition systems.
- Ask for an immediate printing (10 seconds 12 leads) of one or all the CardioPlug acquisition
   systems.




                                                                                                     7
4. CarTouch acquisition.

The CarTouch recorder is a stand-alone 12 leads numeric electrocardiograph. Using the keyboard and
the screen, the user can identify the patient (possibility to use an ID card), and carry out basic ECG (12
leads 10 seconds 500Hz). This recorder allows to carry out standard ECG (control visits) on the
volunteers.




This CarTouch’s internal software allows especially:

   The recording of the patient’s identification in Flash memory. This avoids the re-capture the
   patient identification at each exam.
   The visits’ management. Automatically, the system states the first available visit for the patient.
   This will avoid eventual confusions.
   The saving of the registration in Flash memory. The memory of the device allows recording 53
   ECG.




                                                                                                        8
4.1 ConfigTouch software:
This software allows the configuration of the CarTouch device on PC according to the study
requirements.




                                                                                             9
4.2 TeleTouch : ECG transfer software

In order to download the recordings realized on the CarTouch, the device can be connected on a
microcomputer via the RS232 port. During this operation, the recordings are automatically analysed,
can be printed and then transferred to the online data-base service.



    •   ECG file transmission by Modem to a remote PC:




                                                Or:

    •   ECG file transmission by Internet to a FTP host:




                                                                                                10
5. Validation and treatment computer

The validation and treatment computer allows the users (ECG technicians, validating doctors,
cardiologists) to re-examinate and/or to analyse the recordings. The possibilities of visualization are
defined by the supervisor, and applied according to the user’s name and his password. These
possibilities are adapted to each study.

The analysis’objectives:
- To cut out the long term recording in a sequence of raw file.
- To analyse the raw file in order to measure especially the segment QT.
- To quantize the variations of the QT measures.




                                                                                                    11
5.1. ISHNE Viewer: Software for processing the long term recordings
This treatment’s aim is to cut out the long time recordings in a sequence of raw files (12 leads 10
seconds 500Hz). To do it, we use a specific visualisation software, which allows especially to display
and print a long term data file.




                                                                                                     12
Pre-treatment can detect the QRS beats on the whole record. The beats found are classified according
to the duration of the QRS (detection of the ventricular extrasystol) and the duration of the interval RR
preceding the beat (detection of the supraventricular extrasystol). The visualization software allows to
show off RR’s swing curve on the recording.




5.2 ISHNE Extractor:
Several cut-out methods can be applied:
    We apply the visit plan as it is defined in the beginning of the study, and a basic ECG is created at
    each visit.
    We use the visit plan as it is defined in the beginning of the study, for each visit, and by founding
    upon the RR curve; we select a period of stable RR to create a basic ECG.
    We adjust the visit plan as it is defined in the beginning of the study in order to coincide it with the
    concentration graph (adapted to the patient) with the molecule to use. For each adjusted visit, and
    by founding upon the RR curve, we select a period of stable RR to create a basic ECG.


             Visit planning                   RR curve                   Pharmacodynamic




                                              ISHNE file




                                              Rest ECG
                                              (SCP file)




                                                                                                         13
5.3. ECG validation: Software of standard ECG treatment

The basic ECG (12 leads 10 seconds 500Hz) are recorded in files at the SCP format. The software of
automatic analysis allows:
    The detection and the classification of the QRS beats.
    The detection of the P waves on the 10 seconds recording.
    The calculation des 12 averaged leads.
    The detection of the markers of the beginning and the end of the waves (beginning/end of P,
    beginning/end of QRS, end of T) on the averaged leads.
    The measure of the waves (duration and amplitude).
    The automatic analysis of the rhythm and the morphology.
Visualization software allows to re-examine this entire automatic analysis. The first screen allows to
display the ECG plot, with the position of the QRS pointers.




                                                                                                   14
The doctor who validates the ECG can then visualise the result of the diagnostic help, with the
possibility to modify this analysis either by using a pull-down menu, or by entering a free-text.




                                                                                               15
5.4 QT analysis: averaged complex:
The analysis of the QT segment can be realized on the 12 averaged leads. The software displays
automatically the 12 superimposed averaged beats and the marker of the beginning and end of waves.
The doctor who validates can then move these markers. Automatically, the global measures (PR, QRS,
QT, QTcb et QTcf) are calculated.




This representation is very useful to define the beginning of QRS (first lead to be activated), the end of
QRS (last) and the end of T. Conversely, the QT measure is global, that means that it depends on all
derivations. Indeed, the beginning of QRS can be defined on dII, and at the end of T on V6.




                                                                                                        16
5.5 QT analysis: Tangent method:

The analysis of the QT segment can also be realized on a unique lead. For this, the doctor chooses a
lead, and the portion on which the analysis must be realized. The software will then place the cursors
for three consecutive beats. The doctor who validates the result can move the cursors. Automatically,
the global measures (PR, QRS, QT, QTcb et QTcf) are calculated.




The detection at the end of the T wave can be realized either by using the tangent method, or by
returning to the baseline




                                                                                                   17
The final screen will gather all the results, give a general conclusion and archive the information in the
SCP data file. This data file contains all the information relative to its access, and that allows a precise
follow up of this access (audit trail).




                                                                                                        18
5.6 ECG exportation (ASCII, PDF & XML):

The information contained in the SPC data file can be exported on three computer file formats:
   Text file ASCII: That will do the link with an external database (the IT system of the centre for
   example).
   Graphic file PDF: this export allows to have a visual review of the measures and of the positions of
   the markers. This file can be exploited without any specified Cardionics software and it also allows
   to give information to a sponsor.
   Computer file XML: this file is used to send the results to the certification body (FDA).




                                                                                                   19
5.7 Software of results exploitation: currently in development.

This software will, at the end of the study, display the evolution of the measures. The SCP data files
which are validated by the cardiologist are archived in directories according to the identification number
and/or the name (initials) of the volunteer. The software will then open the files related to the chosen
volunteer, and then classify the measures according to the recording date and time. A visual presentation
allows to see the evolution of the following measures:
    RR duration.
    Cardiac rate.
    PR duration.
    QRS duration.
    QT, QTcb and QTcf duration.




For each value, while positioning the mouse on the measure, the user can see the recording information
(date and time, name of the visit) and can ask to display the corresponding ECG plot.




                                                                                                      20

More Related Content

What's hot

Cardio Lab Equipment
Cardio Lab EquipmentCardio Lab Equipment
Cardio Lab Equipmentmycanaan
 
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...IAEME Publication
 
Cardionics ECG Presentation mobile cartouch pharma
Cardionics ECG Presentation mobile cartouch pharmaCardionics ECG Presentation mobile cartouch pharma
Cardionics ECG Presentation mobile cartouch pharmaCARDIONICS BELGIUM
 
Ijaest volume 2-number-2pp-190-195x
Ijaest volume 2-number-2pp-190-195xIjaest volume 2-number-2pp-190-195x
Ijaest volume 2-number-2pp-190-195xsalborunda
 
Siirila_Antti_master_thesis_final_june_2015
Siirila_Antti_master_thesis_final_june_2015Siirila_Antti_master_thesis_final_june_2015
Siirila_Antti_master_thesis_final_june_2015Antti Siiril
 
Heart monitoring
Heart monitoringHeart monitoring
Heart monitoringAmit Sheth
 
Body Temperature & Blood Pressure Remote Monitoring
Body Temperature & Blood Pressure Remote MonitoringBody Temperature & Blood Pressure Remote Monitoring
Body Temperature & Blood Pressure Remote MonitoringIJMTST Journal
 
Health Care Monitoring for the CVD Detection using Soft Computing Techniques
Health Care Monitoring for the CVD Detection using Soft Computing TechniquesHealth Care Monitoring for the CVD Detection using Soft Computing Techniques
Health Care Monitoring for the CVD Detection using Soft Computing Techniquesijfcstjournal
 
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...ijtsrd
 
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoardPortable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoardIJSRD
 
Feature extraction of electrocardiogram signal using machine learning classif...
Feature extraction of electrocardiogram signal using machine learning classif...Feature extraction of electrocardiogram signal using machine learning classif...
Feature extraction of electrocardiogram signal using machine learning classif...IJECEIAES
 
AR-based Method for ECG Classification and Patient Recognition
AR-based Method for ECG Classification and Patient RecognitionAR-based Method for ECG Classification and Patient Recognition
AR-based Method for ECG Classification and Patient RecognitionCSCJournals
 
Classification of cardiac vascular disease from ecg signals for enhancing mod...
Classification of cardiac vascular disease from ecg signals for enhancing mod...Classification of cardiac vascular disease from ecg signals for enhancing mod...
Classification of cardiac vascular disease from ecg signals for enhancing mod...hiij
 
Extraction of respiratory rate from ppg signals using pca and emd
Extraction of respiratory rate from ppg signals using pca and emdExtraction of respiratory rate from ppg signals using pca and emd
Extraction of respiratory rate from ppg signals using pca and emdeSAT Publishing House
 
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...TELKOMNIKA JOURNAL
 

What's hot (18)

Cardio Lab Equipment
Cardio Lab EquipmentCardio Lab Equipment
Cardio Lab Equipment
 
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...
PERFORMANCE EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR CARDIAC ARRHYTHMIA C...
 
Cardionics ECG Presentation mobile cartouch pharma
Cardionics ECG Presentation mobile cartouch pharmaCardionics ECG Presentation mobile cartouch pharma
Cardionics ECG Presentation mobile cartouch pharma
 
Ijaest volume 2-number-2pp-190-195x
Ijaest volume 2-number-2pp-190-195xIjaest volume 2-number-2pp-190-195x
Ijaest volume 2-number-2pp-190-195x
 
Siirila_Antti_master_thesis_final_june_2015
Siirila_Antti_master_thesis_final_june_2015Siirila_Antti_master_thesis_final_june_2015
Siirila_Antti_master_thesis_final_june_2015
 
Heart monitoring
Heart monitoringHeart monitoring
Heart monitoring
 
Body Temperature & Blood Pressure Remote Monitoring
Body Temperature & Blood Pressure Remote MonitoringBody Temperature & Blood Pressure Remote Monitoring
Body Temperature & Blood Pressure Remote Monitoring
 
Health Care Monitoring for the CVD Detection using Soft Computing Techniques
Health Care Monitoring for the CVD Detection using Soft Computing TechniquesHealth Care Monitoring for the CVD Detection using Soft Computing Techniques
Health Care Monitoring for the CVD Detection using Soft Computing Techniques
 
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...
 
Fn2410141018
Fn2410141018Fn2410141018
Fn2410141018
 
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoardPortable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoard
 
Real Time Acquisition and Analysis of PCG and PPG Signals
Real Time Acquisition and Analysis of PCG and PPG SignalsReal Time Acquisition and Analysis of PCG and PPG Signals
Real Time Acquisition and Analysis of PCG and PPG Signals
 
Feature extraction of electrocardiogram signal using machine learning classif...
Feature extraction of electrocardiogram signal using machine learning classif...Feature extraction of electrocardiogram signal using machine learning classif...
Feature extraction of electrocardiogram signal using machine learning classif...
 
AR-based Method for ECG Classification and Patient Recognition
AR-based Method for ECG Classification and Patient RecognitionAR-based Method for ECG Classification and Patient Recognition
AR-based Method for ECG Classification and Patient Recognition
 
Classification of cardiac vascular disease from ecg signals for enhancing mod...
Classification of cardiac vascular disease from ecg signals for enhancing mod...Classification of cardiac vascular disease from ecg signals for enhancing mod...
Classification of cardiac vascular disease from ecg signals for enhancing mod...
 
Extraction of respiratory rate from ppg signals using pca and emd
Extraction of respiratory rate from ppg signals using pca and emdExtraction of respiratory rate from ppg signals using pca and emd
Extraction of respiratory rate from ppg signals using pca and emd
 
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...
 
1475 925 x-13-160
1475 925 x-13-1601475 925 x-13-160
1475 925 x-13-160
 

Viewers also liked

Allstate Agency Opportunities
Allstate Agency OpportunitiesAllstate Agency Opportunities
Allstate Agency Opportunitieshickeydvd
 
внешняя политика во второй половине Xviiiв.
внешняя политика во второй половине Xviiiв.внешняя политика во второй половине Xviiiв.
внешняя политика во второй половине Xviiiв.Proznanie.ru
 
Nifty at cloudian seminar 2012
Nifty at cloudian seminar 2012Nifty at cloudian seminar 2012
Nifty at cloudian seminar 2012CLOUDIAN KK
 
Gdb principle
Gdb principleGdb principle
Gdb principlelibfetion
 
Angliyskaya revolutsia
Angliyskaya revolutsiaAngliyskaya revolutsia
Angliyskaya revolutsiaProznanie.ru
 
Cloudianと連携するCloudStack (Cloudian Summit 2012)
Cloudianと連携するCloudStack (Cloudian Summit 2012)Cloudianと連携するCloudStack (Cloudian Summit 2012)
Cloudianと連携するCloudStack (Cloudian Summit 2012)CLOUDIAN KK
 
Agriculture renaissance 2010
Agriculture renaissance 2010Agriculture renaissance 2010
Agriculture renaissance 2010Prabhu Pingali
 
S3エコシステムのメリット (Cloudian Summit 2012)
S3エコシステムのメリット (Cloudian Summit 2012)S3エコシステムのメリット (Cloudian Summit 2012)
S3エコシステムのメリット (Cloudian Summit 2012)CLOUDIAN KK
 
Общественная мысль эпохи просвещения. Просвещенный абсолютизм
Общественная мысль эпохи просвещения. Просвещенный абсолютизмОбщественная мысль эпохи просвещения. Просвещенный абсолютизм
Общественная мысль эпохи просвещения. Просвещенный абсолютизмProznanie.ru
 
Crown Long Ppt
Crown Long PptCrown Long Ppt
Crown Long Pptkzally
 
Нидерландская революция XVI века.
Нидерландская революция XVI века.Нидерландская революция XVI века.
Нидерландская революция XVI века.Proznanie.ru
 
Перезентация сайта www.Proznanie.ru
Перезентация сайта www.Proznanie.ruПерезентация сайта www.Proznanie.ru
Перезентация сайта www.Proznanie.ruProznanie.ru
 
Tiny Linux Kernel Project: Section Garbage Collection Patchset
Tiny Linux Kernel Project: Section Garbage Collection Patchset Tiny Linux Kernel Project: Section Garbage Collection Patchset
Tiny Linux Kernel Project: Section Garbage Collection Patchset libfetion
 

Viewers also liked (20)

Russia xvii vek
Russia xvii vekRussia xvii vek
Russia xvii vek
 
Allstate Agency Opportunities
Allstate Agency OpportunitiesAllstate Agency Opportunities
Allstate Agency Opportunities
 
внешняя политика во второй половине Xviiiв.
внешняя политика во второй половине Xviiiв.внешняя политика во второй половине Xviiiв.
внешняя политика во второй половине Xviiiв.
 
Nifty at cloudian seminar 2012
Nifty at cloudian seminar 2012Nifty at cloudian seminar 2012
Nifty at cloudian seminar 2012
 
Gdb principle
Gdb principleGdb principle
Gdb principle
 
Angliyskaya revolutsia
Angliyskaya revolutsiaAngliyskaya revolutsia
Angliyskaya revolutsia
 
Presentation1 abe
Presentation1 abePresentation1 abe
Presentation1 abe
 
Japonia
JaponiaJaponia
Japonia
 
Germania
GermaniaGermania
Germania
 
Cloudianと連携するCloudStack (Cloudian Summit 2012)
Cloudianと連携するCloudStack (Cloudian Summit 2012)Cloudianと連携するCloudStack (Cloudian Summit 2012)
Cloudianと連携するCloudStack (Cloudian Summit 2012)
 
Agriculture renaissance 2010
Agriculture renaissance 2010Agriculture renaissance 2010
Agriculture renaissance 2010
 
Felix airways flights schedule
Felix airways   flights scheduleFelix airways   flights schedule
Felix airways flights schedule
 
S3エコシステムのメリット (Cloudian Summit 2012)
S3エコシステムのメリット (Cloudian Summit 2012)S3エコシステムのメリット (Cloudian Summit 2012)
S3エコシステムのメリット (Cloudian Summit 2012)
 
Общественная мысль эпохи просвещения. Просвещенный абсолютизм
Общественная мысль эпохи просвещения. Просвещенный абсолютизмОбщественная мысль эпохи просвещения. Просвещенный абсолютизм
Общественная мысль эпохи просвещения. Просвещенный абсолютизм
 
Crown Long Ppt
Crown Long PptCrown Long Ppt
Crown Long Ppt
 
PF 2015
PF 2015PF 2015
PF 2015
 
Нидерландская революция XVI века.
Нидерландская революция XVI века.Нидерландская революция XVI века.
Нидерландская революция XVI века.
 
Перезентация сайта www.Proznanie.ru
Перезентация сайта www.Proznanie.ruПерезентация сайта www.Proznanie.ru
Перезентация сайта www.Proznanie.ru
 
Tiny Linux Kernel Project: Section Garbage Collection Patchset
Tiny Linux Kernel Project: Section Garbage Collection Patchset Tiny Linux Kernel Project: Section Garbage Collection Patchset
Tiny Linux Kernel Project: Section Garbage Collection Patchset
 
Asia
AsiaAsia
Asia
 

Similar to CARDIONICS ECG Centralization and Analysis Software

REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...
REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...
REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...ijdpsjournal
 
Non-Contact Health Monitoring System Using Image and Signal Processing
Non-Contact Health Monitoring System Using Image and Signal ProcessingNon-Contact Health Monitoring System Using Image and Signal Processing
Non-Contact Health Monitoring System Using Image and Signal ProcessingAtul Kumar Sharma
 
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...IRJET Journal
 
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...IRJET Journal
 
Design and implementation of portable electrocardiogram recorder with field ...
Design and implementation of portable electrocardiogram  recorder with field ...Design and implementation of portable electrocardiogram  recorder with field ...
Design and implementation of portable electrocardiogram recorder with field ...IJECEIAES
 
Microcontroller Based Intelligent Blood Collecting System
Microcontroller Based Intelligent Blood Collecting SystemMicrocontroller Based Intelligent Blood Collecting System
Microcontroller Based Intelligent Blood Collecting Systemijsrd.com
 
711201905
711201905711201905
711201905IJRAT
 
711201905
711201905711201905
711201905IJRAT
 
711201905
711201905711201905
711201905IJRAT
 
RCEP_Longer_Presentation
RCEP_Longer_PresentationRCEP_Longer_Presentation
RCEP_Longer_PresentationJonah Kohen
 
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptx
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptxDTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptx
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptxMuthuKumar158260
 
Real time ECG Monitoring: A Review
Real time ECG Monitoring: A ReviewReal time ECG Monitoring: A Review
Real time ECG Monitoring: A Reviewijtsrd
 
An Implementation of Embedded System in Patient Monitoring System
An Implementation of Embedded System in Patient Monitoring SystemAn Implementation of Embedded System in Patient Monitoring System
An Implementation of Embedded System in Patient Monitoring Systemijsrd.com
 
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDL
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDLAn Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDL
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDLijsrd.com
 
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR ijcseit
 
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSORFPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSORijcseit
 

Similar to CARDIONICS ECG Centralization and Analysis Software (20)

REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...
REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...
REAL-TIME BLEEDING DETECTION IN GASTROINTESTINAL TRACT ENDOSCOPIC EXAMINATION...
 
Description fpga
Description fpgaDescription fpga
Description fpga
 
SPIE-photonics-west-1
SPIE-photonics-west-1SPIE-photonics-west-1
SPIE-photonics-west-1
 
Non-Contact Health Monitoring System Using Image and Signal Processing
Non-Contact Health Monitoring System Using Image and Signal ProcessingNon-Contact Health Monitoring System Using Image and Signal Processing
Non-Contact Health Monitoring System Using Image and Signal Processing
 
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...
Neural Network-Based Automatic Classification of ECG Signals with Wavelet Sta...
 
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...
A Review on ECG -Signal Classification of Scalogram Snap shots the use of Con...
 
Design and implementation of portable electrocardiogram recorder with field ...
Design and implementation of portable electrocardiogram  recorder with field ...Design and implementation of portable electrocardiogram  recorder with field ...
Design and implementation of portable electrocardiogram recorder with field ...
 
Microcontroller Based Intelligent Blood Collecting System
Microcontroller Based Intelligent Blood Collecting SystemMicrocontroller Based Intelligent Blood Collecting System
Microcontroller Based Intelligent Blood Collecting System
 
711201905
711201905711201905
711201905
 
711201905
711201905711201905
711201905
 
711201905
711201905711201905
711201905
 
RCEP_Longer_Presentation
RCEP_Longer_PresentationRCEP_Longer_Presentation
RCEP_Longer_Presentation
 
INTRODUCTION.pptx
INTRODUCTION.pptxINTRODUCTION.pptx
INTRODUCTION.pptx
 
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptx
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptxDTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptx
DTSP UNIT V - DIGITAL SIGNAL PROCESSORS.pptx
 
Real time ECG Monitoring: A Review
Real time ECG Monitoring: A ReviewReal time ECG Monitoring: A Review
Real time ECG Monitoring: A Review
 
eUno R10
eUno R10eUno R10
eUno R10
 
An Implementation of Embedded System in Patient Monitoring System
An Implementation of Embedded System in Patient Monitoring SystemAn Implementation of Embedded System in Patient Monitoring System
An Implementation of Embedded System in Patient Monitoring System
 
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDL
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDLAn Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDL
An Efficient Design and FPGA Implementation of JPEG Encoder using Verilog HDL
 
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
 
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSORFPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
FPGA BASED HEARTBEATS MONITOR WITH FINGERTIP OPTICAL SENSOR
 

Recently uploaded

Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 

CARDIONICS ECG Centralization and Analysis Software

  • 1. The CARDIONICS systems for ECG Labs 1. ECG Centralisation software. The ECG data server allows the centralisation of the recordings and the centralisation of the information concerning the studies. The supervisor of the installation will define: The list of users The list of the current studies The type of access to the data’s. For each study, the supervisor has to define the directory (source of the data’s). This means the place where the acquisition system (CardioPlug and/or CarTouch) will transfer the files. The supervisor can then define a specific arborescence with regard to the sequential access to the data’s. This allows making it obligatory to validate the data’s (confirmation of the measures by the cardiologist and/or the diagnostic help given by the automatic software’s) and to follow the evolution of the data’s. 1
  • 2. Here is an example of arborescence: Another directory allows saving the configuration of the installation, and the database of the voluntaries taking part to studies. The voluntary is identified in using a barcode of an ID card. The information about the voluntary is recorded in an « Access » database . 2
  • 3. The Visit Management Software: The supervisor has also the possibility to define the planning of the visit for the study. For regular visits, the supervisor can define the time of the visit (absolute or relative to the drug delivery time), and ask for the automatic creation of a standard ECG linked to the visit (with or without the print). Three types of visits are foreseen: Regular visits: defined with regard to the parameters of the study. Retest visits: allow to do a regular visit several times. Unscheduled visit: allow doing a visit which is not foreseen in the protocol of the study. The list of studies can be exported in a « *.vst » file and can be used during the configuration of the CarTouch device. 3
  • 4. 2. ECG acquisition with the CardioPlug. The acquisition system CardioPlug allows to record standard ECG (12 leads, 10 seconds 500 Hz) and long term ECG (several minutes or several hours of recording). The acquisition box CardioPlug is connected to the USB port of the computer. Then, the user chooses the current study and identifies the patient with a barcode. The 12 leads ECG traces are displayed on the screen during the recording session. This allows the user to check the trace in real time. He can ask for a print at any time (10 seconds of the 12 leads, or 2 minutes for 12/3/1 lead(s)). 4
  • 5. The user can record automatically or manually a basic ECG for each visit (12 leads, 10 seconds 500 Hz). These data files are recorded on the local disk and then transferred on the ECG data server according to its availability. The user can also record the ECG in real time on the hard disk. Thus, in a transparent way for the volunteer and the user, the ECG’s data (12 leads 500Hz) are registered in data files at the format ISHNE. During the acquisition, the user can interrupt and then resume the recording to allow the volunteer to stay away for one moment. The data files’ size will depend on the duration of the recording (for information, one hour of registration corresponds to a data file of 27.5Mo). These data files are recorded on the local disk, and then transferred at the end of the recording on the online data- base service ECG, according to its availability. A dialog box will appear for each visit during the recording of a standard ECG (12 leads, 10 seconds 500 Hz). This dialog box allows defining the type of the visit and the name of the visit. The software manages automatically the visits with regard to the volunteer, this: - Reduce the sources of error (concerning the visit realised). - Avoid the realisation of the same visit several times. 5
  • 6. During the acquisition of the lead (real time visualisation on the lead), it is possible to see the measures corresponding to the 10 seconds ECG selected. This will avoid printing this ECG. CARDIONICS advise to record the plot ECG during the first administration to man, during a duration corresponding at least to the molecule’s half life. These long term recordings will permit a detailed study of the segment QT at the end of the study (retrospective analysis). 6
  • 7. 3. CardioPlug: management of network workstations This application allows displaying on a central computer in real time the recorded leads which are displayed on the 12 other CardioPlug acquisition systems. The user can, at a glance, follow the evolution of the leads. Moreover, from this screen, the user can: - Start up or interrupt the long term recording of one of the CardioPlug acquisition systems. - Ask for an immediate printing (10 seconds 12 leads) of one or all the CardioPlug acquisition systems. 7
  • 8. 4. CarTouch acquisition. The CarTouch recorder is a stand-alone 12 leads numeric electrocardiograph. Using the keyboard and the screen, the user can identify the patient (possibility to use an ID card), and carry out basic ECG (12 leads 10 seconds 500Hz). This recorder allows to carry out standard ECG (control visits) on the volunteers. This CarTouch’s internal software allows especially: The recording of the patient’s identification in Flash memory. This avoids the re-capture the patient identification at each exam. The visits’ management. Automatically, the system states the first available visit for the patient. This will avoid eventual confusions. The saving of the registration in Flash memory. The memory of the device allows recording 53 ECG. 8
  • 9. 4.1 ConfigTouch software: This software allows the configuration of the CarTouch device on PC according to the study requirements. 9
  • 10. 4.2 TeleTouch : ECG transfer software In order to download the recordings realized on the CarTouch, the device can be connected on a microcomputer via the RS232 port. During this operation, the recordings are automatically analysed, can be printed and then transferred to the online data-base service. • ECG file transmission by Modem to a remote PC: Or: • ECG file transmission by Internet to a FTP host: 10
  • 11. 5. Validation and treatment computer The validation and treatment computer allows the users (ECG technicians, validating doctors, cardiologists) to re-examinate and/or to analyse the recordings. The possibilities of visualization are defined by the supervisor, and applied according to the user’s name and his password. These possibilities are adapted to each study. The analysis’objectives: - To cut out the long term recording in a sequence of raw file. - To analyse the raw file in order to measure especially the segment QT. - To quantize the variations of the QT measures. 11
  • 12. 5.1. ISHNE Viewer: Software for processing the long term recordings This treatment’s aim is to cut out the long time recordings in a sequence of raw files (12 leads 10 seconds 500Hz). To do it, we use a specific visualisation software, which allows especially to display and print a long term data file. 12
  • 13. Pre-treatment can detect the QRS beats on the whole record. The beats found are classified according to the duration of the QRS (detection of the ventricular extrasystol) and the duration of the interval RR preceding the beat (detection of the supraventricular extrasystol). The visualization software allows to show off RR’s swing curve on the recording. 5.2 ISHNE Extractor: Several cut-out methods can be applied: We apply the visit plan as it is defined in the beginning of the study, and a basic ECG is created at each visit. We use the visit plan as it is defined in the beginning of the study, for each visit, and by founding upon the RR curve; we select a period of stable RR to create a basic ECG. We adjust the visit plan as it is defined in the beginning of the study in order to coincide it with the concentration graph (adapted to the patient) with the molecule to use. For each adjusted visit, and by founding upon the RR curve, we select a period of stable RR to create a basic ECG. Visit planning RR curve Pharmacodynamic ISHNE file Rest ECG (SCP file) 13
  • 14. 5.3. ECG validation: Software of standard ECG treatment The basic ECG (12 leads 10 seconds 500Hz) are recorded in files at the SCP format. The software of automatic analysis allows: The detection and the classification of the QRS beats. The detection of the P waves on the 10 seconds recording. The calculation des 12 averaged leads. The detection of the markers of the beginning and the end of the waves (beginning/end of P, beginning/end of QRS, end of T) on the averaged leads. The measure of the waves (duration and amplitude). The automatic analysis of the rhythm and the morphology. Visualization software allows to re-examine this entire automatic analysis. The first screen allows to display the ECG plot, with the position of the QRS pointers. 14
  • 15. The doctor who validates the ECG can then visualise the result of the diagnostic help, with the possibility to modify this analysis either by using a pull-down menu, or by entering a free-text. 15
  • 16. 5.4 QT analysis: averaged complex: The analysis of the QT segment can be realized on the 12 averaged leads. The software displays automatically the 12 superimposed averaged beats and the marker of the beginning and end of waves. The doctor who validates can then move these markers. Automatically, the global measures (PR, QRS, QT, QTcb et QTcf) are calculated. This representation is very useful to define the beginning of QRS (first lead to be activated), the end of QRS (last) and the end of T. Conversely, the QT measure is global, that means that it depends on all derivations. Indeed, the beginning of QRS can be defined on dII, and at the end of T on V6. 16
  • 17. 5.5 QT analysis: Tangent method: The analysis of the QT segment can also be realized on a unique lead. For this, the doctor chooses a lead, and the portion on which the analysis must be realized. The software will then place the cursors for three consecutive beats. The doctor who validates the result can move the cursors. Automatically, the global measures (PR, QRS, QT, QTcb et QTcf) are calculated. The detection at the end of the T wave can be realized either by using the tangent method, or by returning to the baseline 17
  • 18. The final screen will gather all the results, give a general conclusion and archive the information in the SCP data file. This data file contains all the information relative to its access, and that allows a precise follow up of this access (audit trail). 18
  • 19. 5.6 ECG exportation (ASCII, PDF & XML): The information contained in the SPC data file can be exported on three computer file formats: Text file ASCII: That will do the link with an external database (the IT system of the centre for example). Graphic file PDF: this export allows to have a visual review of the measures and of the positions of the markers. This file can be exploited without any specified Cardionics software and it also allows to give information to a sponsor. Computer file XML: this file is used to send the results to the certification body (FDA). 19
  • 20. 5.7 Software of results exploitation: currently in development. This software will, at the end of the study, display the evolution of the measures. The SCP data files which are validated by the cardiologist are archived in directories according to the identification number and/or the name (initials) of the volunteer. The software will then open the files related to the chosen volunteer, and then classify the measures according to the recording date and time. A visual presentation allows to see the evolution of the following measures: RR duration. Cardiac rate. PR duration. QRS duration. QT, QTcb and QTcf duration. For each value, while positioning the mouse on the measure, the user can see the recording information (date and time, name of the visit) and can ask to display the corresponding ECG plot. 20