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Title of Journal: J Med Syst

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Abbravation: Journal of Medical Systems

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Springer US

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DOI

10.1007/bf03026636

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ISSN

1573-689X

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Evaluation of Digital Compressed Sensing for Real

Authors: Yishan Wang Sammy Doleschel Ralf Wunderlich Stefan Heinen
Publish Date: 2016/05/30
Volume: 40, Issue: 7, Pages: 170-
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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 3lead 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 3level decomposed db4 wavelet coefficients 1bit 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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