Abstract

India is the world capital of cardiovascular diseases and there is an immense shortage of doctors to serve the patients. This work focuses on cardiovascular sensor data collection and processing. Unlike other wireless body sensor network where the parameters are discrete, often cardiovascular data analysis needs continuous data at a high sampling rate. Such wireless signal gathering over a continuous wireless channel hasn’t been proposed so far due to critical consequences of noise in that signal during transmission. Furthermore, existing many techniques proposes a small data collection in a local node and then dissipating them to cloud. But, continuous wireless sensor signal data transmission and simultaneous processing hasn’t been successfully performed. This work addresses the aforementioned issue and delivers an end-to-end sensor network solution to acquire continuous cardiac signal, transmission to a local processing node and mitigating the data to cloud in real time and also implemented simple heart rate monitoring algorithm of the cloud to visualize continuous heart rate of a patient with this sensor node.

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