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A New Quality-Aware Quality-Control Data Compression Framework for Power Reduction in IoT and Smartphone PPG Monitoring Devices | IEEE Journals & Magazine | IEEE Xplore

A New Quality-Aware Quality-Control Data Compression Framework for Power Reduction in IoT and Smartphone PPG Monitoring Devices


Abstract:

In this article, we propose a new real-time quality-aware quality-control data compression framework for maximizing the battery life of Internet of Things (IoT) and Smart...Show More

Abstract:

In this article, we propose a new real-time quality-aware quality-control data compression framework for maximizing the battery life of Internet of Things (IoT) and Smartphone based health monitoring devices. The proposed framework is implemented on Arduino Due with a 32-bit Atmel SAM3X8E ARM Cortex-M3 processor and validated using four standard databases and real-time signals obtained by using our sensing hardware. The proposed framework achieves compression ratios between seven and 28 with energy saving between 83% and 92%. Results demonstrate that our framework provides a promising energy saving solution by discarding the noisy photoplethysmogram (PPG) signals and pulse-free signals before performing data compression and compressing the noise-free PPG signals efficiently with very small feature parameter error.
Published in: IEEE Sensors Letters ( Volume: 3, Issue: 7, July 2019)
Article Sequence Number: 6001404
Date of Publication: 05 June 2019
Electronic ISSN: 2475-1472

Funding Agency:


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