ADVANCED HEALTH CARE SYSTEM USING IOT

29-Jun-17ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE
1
SEMINAR ON
ADVANCED HEALTH CARE SYSTEM USING IOT
Present by
Mr. Dhandare Sanjay
(Sem - IV)
Guided by
Dr. S. M. Koli
DR. D Y PATIL SCHOOL OF ENGINEERING
Department of E & TC Engg.
M.E.( VLSI & ESD )
A.Y.2016-17

 Introduction
 Literature survey
 Problem definition
 Objectives
 Methodology to be adopted
 Block diagram
 Details of hardware required
 Details of software required
2

 Flowchart
 Advantages
 Conclusion
 Application
 References
3

 What is IOT healthcare system ?
The health care system in which various body
parameters is examine and form BAN using
IOT .
 It enables the object to collect and exchange
data.
4

Title of paper Details of
publication
Description
Advanced patient
monitoring system design
base on WBAN and
telemedicine
technologies
Nicolas fashier et.
al. IEEE
Conference OCT
2015
The author Studied To create a reliable
surveillance system for elderly people and
developed WBAN.
Trigger learning and
ECG parameter
customization for remote
cardiac clinical care
information system
Mohamed Ezzldin
IEEE Transactions,
et.al. 2015
The author proposed to studies telehealth of
coronary heart disease and the application of
IoT
Securing the internet of
things a standardization
perspective
Say loong Keoh
et.al. IEEE
conference
et.al.2014
The author describes the iot system and
enhance the quality-of-iot for remote area.
29 June 2017ME(E&TC Engg.DYPSOE,LOHEGAON,PUNE
5

Title of project Details of
publication
Description
Smart medicine and
physical health system
using IoT
P.Elanthiraiyan
International
journal march 2015
The Author studied the resources
optimizations and how to monitor the data
using IoT related to health care
Gaussian Processes for
Personalized e-Health
Monitoring With
Wearable Sensors
David Clifton IEEE
Transactions, et.al.
Jan 2012
The Author told Advances in wearable
sensing and communications infrastructure
have allowed the widespread development of
prototype medical devices for patient
monitoring
A Framework for
Dynamic Integration
of Multimedia Medical
Data Into Distributed
m-Health Systems
Jinmen Kim IEEE
Transactions, et.al
Jan 2012
The author studied m-Health, is one of the
fastest growing areas of healthcare computing
As electronic health records become
commonplace, and the rapid uptake of
mobile and handheld devices puts powerful29 June 2017 6

 The main problem for the poor people is
dangerous and emergency health care service
at dangerous event. In today's health care
system for the patients who stays in home is
not reactive so there is a need to develop the
system which is reactive in nature .
7

 Study & developing end to end communication
between patient and the respected relatives.
 Integration of temperature, pulse sensor, heart
beat sensor accelerometer sensor & on single
system.
 To form a WBAN.
 Detect and inform the emergency case as per
patient health condition.
8

 The following steps and methodology shall be
adopted to complete the proposed research
work:
 Literature survey
 Selection of suitable controller unit
 Interfacing of various sensor.
 Transferring patients’ data via wireless
technology to the doctors.
9

.
10

.
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 Raspberry pi-3 module B board
 Speaker
 Sensors
 A to D converter MCP 3204
 Power supply unit
 PC
12

13
 FEATURES
 Broadcom BCM2837 64bit ARM Cortex-A53 Quad Core Processor SoC running @
1.2GHz
 1GB RAM
 4x USB2.0 Ports with up to 1.2A output
 Expanded 40-pin GPIO Header
 Video/Audio Out via 4-pole 3.5mm connector, HDMI, CSI camera, or Raw LCD (DSI)
 Storage: micro SD
 10/100 Ethernet (RJ45)
 BCM43143 Wi-Fi on board
 Bluetooth Low Energy (BLE) on board
 Power Requirements: 5V @ 2.4 A via micro-USB

Low-Level Peripherals:
 27 x GPIO
 UART
 I2C bus
 SPI bus with two chip selects
 +3.3V
 +5V
 Ground

14

 FEATURES
 Compact Structure
 Sealed for Wave Soldering and Washing
 APPLICATIONS:
 Automatic Control Equipment
 Communication Equipment
 Electronic Instruments
15

 Temperature sensors : (LM35)
 Blood pressure sensors (serial output)
 Accelerometer (ADXL345 Digital 3-Axis)
16

 FEATURES
 Temperature sensor
 Range :-50’ to 150’ c
 Voltage :3 v to 30 v
17

 FEATURES
 Serial output
 Fully Automatic, Clinical Accuracy, High-
accuracy
 Easy to operate, switching button to start
measuring
 Instant output digital signal
 Compact Size
 Working Voltage +5V DC, 200mA
18

 ADXL345 Digital 3-Axis Gravity Acceleration
Sensor Module
 FEATURES
 Suitable for portable application
 Proper acceleration
 Low power consumption
 Free fall detection function
 Can measure less than 1 degree inclination angle
change
 Low cost (up to 170 INR)
19

 FEATURES
 12-bit resolution
 Max. supply Current (µA) 400
 SPI interface
 40 to 100 ksps sample
 +85°C temperature range
 Input voltage range
(V) 2.7 to 5.5
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Python 2.7.9 shell
PHP
21

 Speed up and extend the communication
coverage to increase the freedom for enhance
patient quality of life.
 It gives immediate information to the
belonging one e.g. doctors.
 Easy to monitor in the case of emergency.
 It reduced the death percentages in accidents.
 Message to the hospital means immediate aid
can be provided.
22

 Following two snapshots shows the results
obtained from the sensor (fig a) and at the
same time the necessary e-mail (fig b) alert is
also shown in following figure.
 Fig (a) fig (b)
23

 The health care system based on body area
network and smart sensors can be use to
decrease the rate of death. The proposed
system confirmed that various sensors can
work as a BAN in IOT environment. The study
suggests that the system helps at the time of
emergency.
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 Applicable in every hospitals
 It can be used at the time of emergency
 Intensive care can be possible
 Helpful for rural area
25

 Feki M.A, “Wireless sensor networks: a survey,” Journal of Computer Networks, vol. 38, no. 4, pp.
393-422, March 2002.
 Zhang ren, “Wireless sensor network survey,” Journal of Computer Networks, vol.52 no. 12, pp.
2292-2330, Aug. 2008.
 Jayavardhan .Gubbi a journal future generation computer system vol 29 issue 7 , sept 2013 pages
1645-1660.
 Jung Sing Jwo object Search for the Internet of Things Using Tag-based Location Signatures Journal
of Software, Vol 7, No 12 (2012), 2886-2893, Dec 2012.
 W. He and L. D. Xu, “Integration of distributed enterprise applications: A survey,” IEEE Trans. Ind.
Informat., vol. 10, no. 1, pp. 35–42 Feb. 2014.
 R.V.Benjamins “Ontologies for the Internet of Things,” in Proc. ACM/IFIP/USENIX 12th Int.
Middleware Conf., Lisboa, Portugal, 2011, pp. 1–6.
 Lucas Mendis 8 Internet of Things in Healthcare Interoperatibility and Security Issues vol 25 page
112-118.
 Browse Journals & Magazines> Industrial Informatics, IEEE ...> Volume:10 Issue:1Integration of
Distributed Enterprise Applications.
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 10 B. Chandrasekaran, J. R. Josephson, and R. V. Benjamins, “What are ontologies
and why do we need them?” IEEE Intell. Syst., vol. 14, no. 1,pp. 20–26, Jan./Feb.
1999.
 M. J. Darlington and S. J. Culley, “Investigating ontology development for
engineering design support,” Adv. Eng. Informat., vol. 22, no. 1,pp. 112–134, 2008.
 Compressed sensing signal and data acquisition in wireless sensor networks and
Internet of Things
 L. Wang, L. Xu, Z. Bi, and Y. Xu, “Data cleaning for RFID and WSN integration,”
IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 408–418, Feb. 2014.
 Y. J. Fan and Y. H. Yin, “Active and Progressive Exoskeleton Rehabilitation Using
Multi-Source Information Fusion from sEMG .
 Position-EPP,” IEEE Trans. Biomed. Eng., vol. 60, no. 12, pp. 3314–3321, 2013
 Y. H. Yin, Y. J. Fan, and L. D. Xu, “EMG & EPP-integrated human– machine
interface between the paralyzed and rehabilitation exoskeleton,”
 IEEE Trans. Inf. Technol. Biomed., vol. 16, no. 4, pp. 542–549, Jul.2012.
27

Thank you
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ADVANCED HEALTH CARE SYSTEM USING IOT

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