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CONNECTED HUMAN
IOT-MD
Whole System Demonstrator Trial in UK
The UK’s Department of Health’s Whole System
Demonstrator launched in May 2008. It is the largest randomized
control trial of tele health and tele care in the world, involving
6191 patients and 238 GP practices across three
sites, Newham, Kent and Cornwall. The trials were evaluated
by: City University London, University of Oxford, University of
Manchester, Nuffield Trust, Imperial College London and London
School of Economics.
 45% reduction in mortality rates
 20% reduction in emergency admissions
 15% reduction in A&E visits
 14% reduction in elective admissions
 14% reduction in bed days
 8% reduction in tariff costs
E-HEALTH SYSTEM
VITAL SIGNALS
 Blood pressure: 90/60 mm/Hg to 120/80 mm/Hg
 Breathing: 12 - 18 breaths per minute
 Pulse: 60 - 100 beats per minute
 Temperature: 33.4 - 33.8 degrees
 SpO2: 90%-100%
 Glucose: <140 mg/dL
MONITORING DEVICES: BLOOD PRESSURE
Pros:
Vital signal
Fast results
Cons:
Air pump
Energy Harvesting
Not wearable size
MONITORING DEVICES: BREATHING
Pros:
Vital signal
Cons:
Air flow meter
Energy Harvesting
Not wearable size
Not cognitive to use
Pros:
Vital signal
Uses 2 mic
Cheap
Cons:
Hard to program recognition
algorithm (FFT)
MONITORING DEVICES: PULSE
Pros:
Vital signal
Fast results
Multi version of realisation
Cons:
No
MONITORING DEVICES: TEMPERATURE
Pros:
Vital signal
Fast results
Low power consumption
Cons:
No
MONITORING DEVICES: SPO2
Pros:
Vital signal
Fast results
HR calculation
Cons:
No
MONITORING DEVICES: GLUCOSE
Pros:
No
Cons:
Vital signal
Not wearable size
Invasive
Slow results
Test strips
MONITORING DEVICES: ECG
Pros:
Best vital monitoring
Analog signal
Can be used instead of HR-
meter
Cons:
Hard to apply
Energy harvesting
MONITORING SYSTEMS OTHER
BT blood pressure
Vital monitor clinical grade
Body fat analyzer
Portable ultrasound
WEARABLES, DEDICATED
Holter SpO+Pulse+EEG ECG+HR
SpO Sleep analyzer Fall sensor+gps
INTEGRATED DEVICES
R&D
 Wearable to daily care
 SpO2
 HR
 ECG 3 sensors
 Temperature
 Fall Detector
 Breathing data
 Variable connectivity (Wi-Fi, BTLE,IP)
 Multi-data stream, consumer and RAW
 Conductivity Textile, washable
 Low power consumption
OUR SOLUTION
SWOT
S W
Wearable No experience
Multi network connectivity Big Data management
Secure Connection Developing of new platform
Own infrastructure Failsafe
Different data to different end user Lot of source code
Enjoy sensor for >40% diseases
Trend: IoT, M-health, Cloud, Wearable
O T
New service for elder/infant/diseased Concurrent does not sleeps!
New service for hospitals Certification issues
Recognition can be omitted by using Accuracy of measurement and end data
already approved sensor (FDA) Hard to advertise
BITALINO KIT
•1x BITalino hardware
(MCU, Bluetooth,
Power, ECG, EMG,
EDA, Accelerometer,
Light, LED) with
already snapped
sensors
•1x 3-lead accessory
(for EMG / ECG)
•1x 2-lead accessory
(for EDA)
•5x Pre-gelled
electrodes
•1x Li-Po Battery
320mAh
•1x RJ22 to Molex
Sherlock sensor
connection cable (1m
length)
E-HEALTH KIT V2.0
TI (+FPGA)
FREESCALE MEDICAL (PCB)
MICROCHIP
ELEMENT14Š (FPGA)
DM3730 ARM
based, 512MB
DDR SDRAM,
512MB NAND
Flash, 2GB
iNAND, 10/100M
Ethernet interface
(RJ45), TF card
slot, OTG port,
four USB ports,
and three serial
ports (UART1: 5-
wire TTL serial
port; UART2: 5-
wire TTL serial
port; UART3: 5-
wire RS232 serial
port
THANK YOU!

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Iot for e-health system project concept

  • 2. IOT-MD Whole System Demonstrator Trial in UK The UK’s Department of Health’s Whole System Demonstrator launched in May 2008. It is the largest randomized control trial of tele health and tele care in the world, involving 6191 patients and 238 GP practices across three sites, Newham, Kent and Cornwall. The trials were evaluated by: City University London, University of Oxford, University of Manchester, Nuffield Trust, Imperial College London and London School of Economics.  45% reduction in mortality rates  20% reduction in emergency admissions  15% reduction in A&E visits  14% reduction in elective admissions  14% reduction in bed days  8% reduction in tariff costs
  • 4. VITAL SIGNALS  Blood pressure: 90/60 mm/Hg to 120/80 mm/Hg  Breathing: 12 - 18 breaths per minute  Pulse: 60 - 100 beats per minute  Temperature: 33.4 - 33.8 degrees  SpO2: 90%-100%  Glucose: <140 mg/dL
  • 5. MONITORING DEVICES: BLOOD PRESSURE Pros: Vital signal Fast results Cons: Air pump Energy Harvesting Not wearable size
  • 6. MONITORING DEVICES: BREATHING Pros: Vital signal Cons: Air flow meter Energy Harvesting Not wearable size Not cognitive to use Pros: Vital signal Uses 2 mic Cheap Cons: Hard to program recognition algorithm (FFT)
  • 7. MONITORING DEVICES: PULSE Pros: Vital signal Fast results Multi version of realisation Cons: No
  • 8. MONITORING DEVICES: TEMPERATURE Pros: Vital signal Fast results Low power consumption Cons: No
  • 9. MONITORING DEVICES: SPO2 Pros: Vital signal Fast results HR calculation Cons: No
  • 10. MONITORING DEVICES: GLUCOSE Pros: No Cons: Vital signal Not wearable size Invasive Slow results Test strips
  • 11. MONITORING DEVICES: ECG Pros: Best vital monitoring Analog signal Can be used instead of HR- meter Cons: Hard to apply Energy harvesting
  • 12. MONITORING SYSTEMS OTHER BT blood pressure Vital monitor clinical grade Body fat analyzer Portable ultrasound
  • 13. WEARABLES, DEDICATED Holter SpO+Pulse+EEG ECG+HR SpO Sleep analyzer Fall sensor+gps
  • 15. R&D  Wearable to daily care  SpO2  HR  ECG 3 sensors  Temperature  Fall Detector  Breathing data  Variable connectivity (Wi-Fi, BTLE,IP)  Multi-data stream, consumer and RAW  Conductivity Textile, washable  Low power consumption
  • 17. SWOT S W Wearable No experience Multi network connectivity Big Data management Secure Connection Developing of new platform Own infrastructure Failsafe Different data to different end user Lot of source code Enjoy sensor for >40% diseases Trend: IoT, M-health, Cloud, Wearable O T New service for elder/infant/diseased Concurrent does not sleeps! New service for hospitals Certification issues Recognition can be omitted by using Accuracy of measurement and end data already approved sensor (FDA) Hard to advertise
  • 18. BITALINO KIT •1x BITalino hardware (MCU, Bluetooth, Power, ECG, EMG, EDA, Accelerometer, Light, LED) with already snapped sensors •1x 3-lead accessory (for EMG / ECG) •1x 2-lead accessory (for EDA) •5x Pre-gelled electrodes •1x Li-Po Battery 320mAh •1x RJ22 to Molex Sherlock sensor connection cable (1m length)
  • 23. ELEMENT14Š (FPGA) DM3730 ARM based, 512MB DDR SDRAM, 512MB NAND Flash, 2GB iNAND, 10/100M Ethernet interface (RJ45), TF card slot, OTG port, four USB ports, and three serial ports (UART1: 5- wire TTL serial port; UART2: 5- wire TTL serial port; UART3: 5- wire RS232 serial port