Research On Remote Health Monitoring Technology Based On Wireless Body Area Network

With the continuous development of the economy, the domestic population aging phenomenon has become increasingly obvious and serious. The increasing proportion of the elderly is driving the development of telemedicine. With the rapid development of wireless communication and sensor technology, telemedicine has provided an effective way to solve this problem, which is based on wireless body area network and sensor technology.Basing on the background above, we analyze the application of wireless body area network technology, wearable devices, ZigBee communication technology and telemedicine area. We use Shimmer(Sensing Health with Intelligence, Modularity, Mobility and Experimental Reusability), the wireless sensor platform as wireless body area network node. On this platform we use TinyOS as its operating system. We propose a new way to remove the noise from ECG signal, and a new fall detection algorithm to monitor the elderly.Firstly, we design an algorithm based on Savitzky-Golay filter to remove the noise from ECG signal. The ECG signal is the most important in telemedicine; accurate ECG signal analysis is an important part of the system. According to the present situation that the ECG raw data has to be transferred to the computer before ECG signal is processed, we present our approach for on-node processing of ECG signals using S-G filter basing on the Shimmer platform. With the usage of on-node processing, the lifetime of the sensor nodes can be extended as raw data does not need to be sent out.Secondly, we proposed a new algorithm of fall detection based on the fusion of 3-axis accelerometer and ECG signal. Accidental falls is a great threat to the elderly, accurate fall detection will provide an effective guarantee for them. According to the present situation that the fall detection is not accurate in some scenes, we extract SMV and standard deviation from 3-axis Accelerometer and heart rate from ECG signal, combine with KNN algorithm, fall detection accuracy has met the demand of practical application.In summary, in the context of wireless body area network, this thesis uses Shimmer as wireless sensor platform, proposes a new ECG noise-remove algorithm in real time and designs a new fall detection algorithm by fusing 3-axisaccelerometer and ECG signal. It has momentous theoretical significance and practical application value for the realization of telemedicine for the elderly.