ECG Monitoring System

Hyeon Joo

1. Sensor

2. Smart Phone

3. Server

+ Shimmer (Intel)O/S : TinyOSCom: Bluetooth, ZigbeeType: Accel, ECG, Gyro, EMG, GSR,

+ Nexus One(Google)O/S : Android Com: Bluetooth, WIFI, 3GType: Accel, Orientation, Proximity

+ ITS Server (Umich)O/S : LinuxWeb: PHP+MySQL

BluetoothECG data transfer

The Overall System

WIFI or 3G Transfer

User Interface

Server Interface

Diagnosis Interface

MySQL

Internet

Storing ECG data

DEMO

Main Activity Menu

Paired Devices Scan Devices

Single devicedata receiving

Multi devicedata receiving

Disconnect Device

Stored ECG files in SD card ECG data

Bluetooth module on

Web Access from Phone Web Access from PC

Related Research Area

Washington University Activity Sensing in the Wild: A Field Trial of UbiFit Garden

Intel (Seattle)Everyday Behavioral Monitoring (EBM)

Related Research Area

-E. Jovanov, A.O. Lords, D. Raskovic,Stress Monitoring Using a Distributed Wireless Intelligent Sensor System, 2003

-L. Salahuddin, M.G. Jeong, D. Kim, Dependence of Heart Rate Variability on Stress Factors of Stress Response Inventory, 2007

-K. Lorincz, B.R. Chen, G. Challen, M.WelshMercury: A Wearable Sensor Network Platform for High-Fidelity Motion Analysis, 2009

Electrocardiography

0 1 2 3 4 5 6 7 8 9

x 104

1600

1700

1800

1900

2000

2100

2200

2300

2400

Sample

sig

nal

500Hz sampling EKG signal

Find R Peak value

3 3.5 4 4.5 5

x 104

2150

2200

2250

2300

2350

Sample

sig

nal

500Hz sampling EKG signal

Find R Peak value

1 2 3 40

20

40

60

80

100

120

minute(m)

Bea

ts p

er m

inut

e(B

PM

) Heart Rates

Heart Rate

Walking

0 50 100 150 200 250 300 350-1

-0.5

0

0.5

1

1.5

Diffe

rence o

f R

R

Index of RR

RR Change

-1 -0.5 0 0.5 1 1.50

50

100

150

200

250

Diffe

rence o

f R

R

Index of RR

RR Change

RR Interval Changes

Why this system help?

+ prevent sudden cardiovascular disease (shock, stroke etc)(predicting heart symptom to prevent second heart attack)

+ real-time monitoring without staying at hospital

+ low cost (medical devices & hospital expense)

+ doesn’t have to go far away to meet a renown doctor

+ global health system (easy to apply)

Uncovered Issues

+ able to apply other health (human behavior) system such as movement of body(accel), posture of body(gyro, accel) .

+ multi-communications b/w phone and sensors.(more than one connection is available, but not stable yet)

+ Emergency call or SMS to the hospital (Tracking user locations, GPS)

+ Data accuracy (any activity such as walking or running will cause noise, sweat)> Noise filter, physical condition

+ Power (sensor mote and phone need to be charged),

+ disk space => SqlLite (3min 1.5M => 720M/day/sensor)

+ training sensor to infer human activities (like MSP)