1. Presenter : Hyotaek Shim
A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
Emil Jovanov, Aleksandar Milenkovic, Chris Otto and Piet C de Groen
Presenter : Hyotaek Shim

2. Telemedicine System
Wearable health monitoring systems integrated into a telemedicine system
continuous monitoring as a part of a diagnostic procedure
to support early detection of abnormal conditions and prevention of its serious consequences
during supervised recovery from an acute event or surgical procedure

3. Holter monitors Traditional personal medical monitoring systems
only to collect data for off-line processing
Wires may limit the patient’s activity and level of comfort
negatively influence the measured results

4. Continuous monitoring
Important limitation for wider acceptance of the existing systems for continuous monitoring
unwieldy wires between sensors and a processing unit
lack of system integration of individual sensors
interference on a wireless communication channel shared by multiple devices
nonexistent support for massive data collection and knowledge discovery

5. Integrated research databases
Records from individual monitoring sessions are rarely integrated into research databases
support for data mining and knowledge discovery
relevant to specific conditions and patient categories

6. Wireless Body Area Network
preprocessing & synchronization

7. Data flow in an WBAN Sensor level Personal Server Level
Medical Service Level

8. Sensor Level (1/2)
ECG(electrocardiogram) sensor for monitoring heart activity
EMB(electromyography) sensor for monitoring muscle activity
EEG(electroencephalography) sensor for monitoring brain electrical activity
A blood pressure sensor
A tilt sensor for monitoring trunk position
movement sensors used to estimate user’s activity
A “smart sock” sensor or a sensor equipped shoe insole
to delineate phases of individual steps

9. Sensor Level (2/2) Minimal weight
Low-power operation to permit prolonged continuous monitoring
Seamless integration into a WBAN
standard-based interface protocols
Patient-specific calibration, tuning and customization
continuously collect and process raw information, store them locally, and send them to the personal server

10. Bluetooth Disadvantages
transfer raw data from sensors to the monitoring station
limitation for prolonged wearable monitoring
too complex
power demanding
prone to interference

11. Zigbee wireless protocol
High level communication protocols using small, low-power digital radios based
IEEE standard for wireless personal area networks (WPANs)
targeted at RF applications that require a low data rate, long battery life, and secure networking

12. Personal server level
Initialization, configuration and synchronization of WBAN nodes
Control and monitor operation of WBAN nodes
Collection of sensor readings from physiological sensors
An audio and graphical user-interface
early warnings or guidance
Secure communication with remote healthcare provider servers
Internet-enabled PDA
3G cell phone
A home personal computer

13. Medical Services An emergency service
If the received data are out of range or indicate an imminent medical condition
The exact location of the patient
If the personal server is equipped with GPS sensor
monitoring the activity of the patient
By medical professionals
Issue altered guidance based on the new information

14. ActiS : Activity Sensor
ISPM
Telos
ADXL202 Accelerometer
TI MSP430F1232
TI MSP430F149
CC2420 (ZigBee)
ADXL202 Accelerometer
Flash
ECG Signal Conditioning
USB Interface
ECG electrodes
The Telos platform
8MHz MSP430F1611 microcontroller
10KB RAM and 48KB Flash Memory
UART(Universal Asynchronous Receiver Transmitter)
ISPM
MSP430F1232 microcontroller
10-bit ADC and UART

15. ActiS : Motion Sensor ActiS sensor as Motion Sensor Vertical Plane Θ =Ax Ay g q
ActiS sensor as Motion Sensor
Vertical Plane Θ =
to detection of gait phases

16. ActiS : Signal Processing

17. Conclusion Continuous monitoring in the ambulatory setting
early detection of abnormal conditions
increased level of confidence
improve quality of life
supervised rehabilitation
potential knowledge discovery
through data mining of all gathered information