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Journal of Medical Systems

Erschienen in:

01.07.2016 | Mobile Systems

Evaluation of Digital Compressed Sensing for Real-Time Wireless ECG System with Bluetooth low Energy

verfasst von: Yishan Wang, Sammy Doleschel, Ralf Wunderlich, Stefan Heinen

Erschienen in: Journal of Medical Systems | Ausgabe 7/2016

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Abstract

In this paper, a wearable and wireless ECG system is firstly designed with Bluetooth Low Energy (BLE). It can detect 3-lead ECG signals and is completely wireless. Secondly the digital Compressed Sensing (CS) is implemented to increase the energy efficiency of wireless ECG sensor. Different sparsifying basis, various compression ratio (CR) and several reconstruction algorithms are simulated and discussed. Finally the reconstruction is done by the android application (App) on smartphone to display the signal in real time. The power efficiency is measured and compared with the system without CS. The optimum satisfying basis built by 3-level decomposed db4 wavelet coefficients, 1-bit Bernoulli random matrix and the most suitable reconstruction algorithm are selected by the simulations and applied on the sensor node and App. The signal is successfully reconstructed and displayed on the App of smartphone. Battery life of sensor node is extended from 55 h to 67 h. The presented wireless ECG system with CS can significantly extend the battery life by 22 %. With the compact characteristic and long term working time, the system provides a feasible solution for the long term homecare utilization.

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Titel: Evaluation of Digital Compressed Sensing for Real-Time Wireless ECG System with Bluetooth low Energy
verfasst von: Yishan Wang
Sammy Doleschel
Ralf Wunderlich
Stefan Heinen
Publikationsdatum: 01.07.2016
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 7/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-016-0526-1

Springer Medizin

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