A New Simple Approach Signal Analysis Suitable for Non-Contact Vital Sensing Using Doppler Sensor

Recently, health management services by the Internet of things (IoT) has attracted attentions. If it can continuously measure and record respirations and heartbeats in our daily life, it enables us to detect health problems in its early stage. In the implementation of IoT, the sensor nodes often suffer from the limitation of the bandwidth of wireless links. Thus, it is impossible to send all the data captured by the sensor node. In order to avoid this problem, edge computing is applicable to the IoT systems. In this implementation, the data is processed in the sensor node to transmit the result of the data processing so that the data speed is reduced. However, the edge computing causes another problem, the increase of the power consumption at the sensor node. Since it is driven by a battery, the increase of the power consumption results in the shortage of the battery. Eventually, the edge computing with reduced power consumption is required in the realization of IoT. In this paper, we propose a new simple algorithm for data analysis suitable for the edge computing in IoT systems due to its simplicity. The performance is verified through computer simulations.