Research for Multi-user Wearable Monitor System of Physiological Signals

In multi-user Wearable human physiological signal monitor system, optimizing detector circuit power consumption, size, interference, how to avoid the data collision each other when several detector transmit data to the Central Service System (CSS) simultaneously etc. are very important and difficult to solve problems. This paper put forward two methods to above questions. Firstly, plenty of single chip´s inner resource is used to decrease power and size for ECG detector preprocessing circuit. With this method high precision could be get, power line interference and baseline shift could be restrained, and this ECG preprocessing circuit could automatic checkout whether sensor is off. Secondly, the paper expounds a new wireless network model according to the requisition of wearable wireless network. Improved a Time-Division Multiplexing Address anti-collision protocol, it is with inquiry priority based broadcast in call number. Experiments proved that above measures could optimize system´s power, size, communication response time and accuracy. It is suitable to the multi-user working in small-scale, low cost, short range, low speed and special environment, needing more ease and more agile to build the network.