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1、A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation,Presenter : Hyotaek Shim,Emil Jovanov, Aleksandar Milenkovic, Chris Otto and Piet C de Groen,Telemedicine System,Wearable health monitoring systems integrated into a telemedicine systemcontinuous
2、 monitoring as a part of a diagnostic procedureto support early detection of abnormal conditions and prevention of its serious consequencesduring supervised recovery from an acute event or surgical procedure,Holter monitors,Traditional personal medical monitoring systemsonly to collect data for off-
3、line processingWires may limit the patients activity and level of comfortnegatively influence the measured results,Continuous monitoring,Important limitation for wider acceptance of the existing systems for continuous monitoringunwieldy wires between sensors and a processing unitlack of system integ
4、ration of individual sensorsinterference on a wireless communication channel shared by multiple devicesnonexistent support for massive data collection and knowledge discovery,Integrated research databases,Records from individual monitoring sessions are rarely integrated into research databasessuppor
5、t for data mining and knowledge discoveryrelevant to specific conditions and patient categories,Wireless Body Area Network,preprocessing & synchronization,Data flow in an WBAN,Sensor level,Personal Server Level,Medical Service Level,Sensor Level (1/2),ECG(electrocardiogram) sensor for monitoring hea
6、rt activityEMB(electromyography) sensor for monitoring muscle activityEEG(electroencephalography) sensor for monitoring brain electrical activityA blood pressure sensorA tilt sensor for monitoring trunk positionmovement sensors used to estimate users activityA “smart sock” sensor or a sensor equippe
7、d shoe insole to delineate phases of individual steps,Sensor Level (2/2),Minimal weightLow-power operation to permit prolonged continuous monitoringSeamless integration into a WBANstandard-based interface protocolsPatient-specific calibration, tuning and customizationcontinuously collect and process
8、 raw information, store them locally, and send them to the personal server,Bluetooth Disadvantages,transfer raw data from sensors to the monitoring stationlimitation for prolonged wearable monitoringtoo complexpower demandingprone to interference,Zigbee wireless protocol,High level communication pro
9、tocols using small, low-power digital radios based IEEE 802.15.4 standard for wireless personal area networks (WPANs)targeted at RF applications that require a low data rate, long battery life, and secure networking,Personal server level,Initialization, configuration and synchronization of WBAN node
10、sControl and monitor operation of WBAN nodesCollection of sensor readings from physiological sensorsAn audio and graphical user-interfaceearly warnings or guidanceSecure communication with remote healthcare provider serversInternet-enabled PDA3G cell phoneA home personal computer,Medical Services,An
11、 emergency service If the received data are out of range or indicate an imminent medical conditionThe exact location of the patient If the personal server is equipped with GPS sensormonitoring the activity of the patientBy medical professionalsIssue altered guidance based on the new information,Acti
12、S : Activity Sensor,ADXL202Accelerometer,ADXL202Accelerometer,ECG SignalConditioning,TI MSP430F1232,CC2420(ZigBee),Flash,USB Interface,TI MSP430F149,Telos,ISPM,ECG electrodes,The Telos platform8MHz MSP430F1611 microcontroller10KB RAM and 48KB Flash MemoryUART(Universal Asynchronous Receiver Transmit
13、ter)ISPMMSP430F1232 microcontroller10-bit ADC and UART,ActiS : Motion Sensor,ActiS sensor as Motion SensorVertical Plane =to detection of gait phases,ActiS : Signal Processing,Conclusion,Continuous monitoring in the ambulatory settingearly detection of abnormal conditionsincreased level of confidenceimprove quality of lifesupervised rehabilitationpotential knowledge discoverythrough data mining of all gathered information,
