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

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

Content Provider	MDPI
Author	Sun, Chenglu Li, Wei Chen, Wei
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.
File Size	4356096
File Format	PDF
e-ISSN	14248220
DOI	10.3390/s17081848
Journal	Sensors
Issue Number	8
Volume Number	17
Language	English
Publisher Date	2017-08-10
Access Restriction	Open
Subject Keyword	noninvasive monitoring respiratory rate monitoring pressure distribution imaging compressed sensing pressure sensor array
Content Type	Text
Resource Type	Article

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