Research of Clouding Based Pulse Monitoring and Data Analysis Framework for Efficient Physical Training

Abstract

For the problems that we can't monitor abnormal conditions of heart rate continuously, a clouding based pulse monitoring and data analysis framework has been proposed. Source of the framework is composed of multiple ZigBee based pulse monitoring sensors, customized gateways and back-end system. Individuals' pulse information are collected by sensors and passed to back-end clouding system to support big data analysis of the training conditions. To guarantee collecting efficient pulse signal, we have researched photo electricity based dynamic and continuous heart rate monitoring methods as well as comprehensive anti-jamming methods. Finally, by using according big data analysis methods we have built up the training model by the standards such as different age, different mood and so on. Results shows the system can be used to improve the physical training level, accumulate the training data of the individuals and support more efficient and scientific training plans.