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Sensors 2017, 17(8), 1848; https://doi.org/10.3390/s17081848

A Compressed Sensing Based Method for Reducing the Sampling Time of A High Resolution Pressure Sensor Array System

1
,
1
and
1,2,*
1
Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai 200433, China
2
Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200000, China
*
Author to whom correspondence should be addressed.
Received: 27 June 2017 / Revised: 28 July 2017 / Accepted: 1 August 2017 / Published: 10 August 2017
(This article belongs to the Special Issue Force and Pressure Based Sensing Medical Application)
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Abstract

For extracting the pressure distribution image and respiratory waveform unobtrusively and comfortably, we proposed a smart mat which utilized a flexible pressure sensor array, printed electrodes and novel soft seven-layer structure to monitor those physiological information. However, in order to obtain high-resolution pressure distribution and more accurate respiratory waveform, it needs more time to acquire the pressure signal of all the pressure sensors embedded in the smart mat. In order to reduce the sampling time while keeping the same resolution and accuracy, a novel method based on compressed sensing (CS) theory was proposed. By utilizing the CS based method, 40% of the sampling time can be decreased by means of acquiring nearly one-third of original sampling points. Then several experiments were carried out to validate the performance of the CS based method. While less than one-third of original sampling points were measured, the correlation degree coefficient between reconstructed respiratory waveform and original waveform can achieve 0.9078, and the accuracy of the respiratory rate (RR) extracted from the reconstructed respiratory waveform can reach 95.54%. The experimental results demonstrated that the novel method can fit the high resolution smart mat system and be a viable option for reducing the sampling time of the pressure sensor array. View Full-Text
Keywords: noninvasive monitoring; respiratory rate monitoring; pressure distribution imaging; compressed sensing; pressure sensor array noninvasive monitoring; respiratory rate monitoring; pressure distribution imaging; compressed sensing; pressure sensor array
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Sun, C.; Li, W.; Chen, W. A Compressed Sensing Based Method for Reducing the Sampling Time of A High Resolution Pressure Sensor Array System. Sensors 2017, 17, 1848.

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