Body sensor network is one branch of sensor network, which is used for medical and health monitoring in recent years. Wireless physiological monitoring of wristband is just derived from this technology. The system described by this paper is wristband-style pulse and motion detection system. It is mainly for large-scale groups. At present, the pulse detection devices and most of the studies are mainly for personal application. There is no such pulse detection device suitable for the large-scale groups of more than 100 people achieving dynamic monitoring and transmission at the same time, and they hardly have the function of positioning, tracking and motion state monitoring basically, and the wristband-style pulse detection device is a very difficult kind of pulse detection devices, which has the function of signal acquisition, signal analysis and processing, wireless transmission, positioning at the same time. Such wristband devices do not come out now, so our work has great significance. This system is composed of intelligent micro sensor node of the heart rate monitor, wristband intelligent wireless transmission gateway and remote monitoring data center. Micro sensor node is fixed to the wristband device and attached to the wrist of human body closely. It collects the physiology, sports and environmental data of human body and then outputs the data to the data gateway or data center through the wireless gateway. Data center will process，fuse the acquisition of information and calculate the dynamic physiological parameters . It can achieve real-time interaction with the central database of the remote monitoring center. As managers and health care professionals or sports medical professionals, they can interact with the monitored person in real-time. The main difficulty of the system implementation: the first is the wristband hardware architecture design, which can make it to collect pulse data and motion data effectively. The second is wireless communication protocol design, which can make the communication between the 100 + wristbands nodes and base stations smooth. The third is filtering algorithm design which can filter out unwanted noise signal and get the identifiable pulse wave as much as possible. The others are feature extraction and recognition of pulse signals, motion detection algorithm design, positioning algorithms design. This system is one of the wristband physical health monitoring and motion state detecting systems which...
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