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Research of WSN and Big Data Analysis based Continuous Pulse Monitoring System for Efficient Physical Training
تحقيق بر روی سيستم مديريت پالس مداوم برای آموزش فيزيکی کارآمد با استفاده از تحليل داده های شبکه های حسگر بی سیم و داده های بزرگ-2016 For the problems that we can’t monitor abnormal
conditions of heart rate as well as carrying out scientific and
efficient training plans based on knowledge from variation of
them. A ZigBee and big data analysis based pulse monitoring
system has been proposed. The system is composed of multiple
ZigBee based pulse monitoring sensors, customized gateways and
back-end system. Individuals’ pulse information are collected by
the sensors and passed to back-end 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.
Keywords: IOT | ZigBee | Big Data Analysis | Pulse Monitoring | Physical Training |
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