Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory
In this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG) and other alternative contemporary syste...
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doaj-2ffa67f5a2ce455f838c6d920bec51892020-11-24T21:12:37ZengMDPI AGSensors1424-82202014-11-011411220212203810.3390/s141122021s141122021Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping RespiratoryWen-Ying Chang0Chien-Chun Huang1Chi-Chun Chen2Chih-Cheng Chang3Chin-Lung Yang4Department of Electrical Engineering, National Cheng-Kung University, Tainan 701, TaiwanBiomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu 300, TaiwanDepartment of Electrical Engineering, National Cheng-Kung University, Tainan 701, TaiwanDivision of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei 235, TaiwanDepartment of Electrical Engineering, National Cheng-Kung University, Tainan 701, TaiwanIn this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG) and other alternative contemporary systems, the proposed FPCSM uses projected capacitive sensing capability that is not worn or attached to the body. The FPCSM is composed of a multi-electrode sensor array that can not only observe gestures and motion behaviors, but also enables the FPCSM to function as a respiration monitor during sleep using the proposed approach. To improve long-term monitoring when body movement is possible, the FPCSM enables the selection of data from the sensing array, and the FPCSM methodology selects the electrodes with the optimal signals after the application of a channel reduction algorithm that counts the reversals in the capacitive sensing signals as a quality indicator. The simple algorithm is implemented in the time domain. The FPCSM system is used in experimental tests and is simultaneously compared with a commercial PSG system for verification. Multiple synchronous measurements are performed from different locations of body contact, and parallel data sets are collected. The experimental comparison yields a correlation coefficient of 0.88 between FPCSM and PSG, demonstrating the feasibility of the system design.http://www.mdpi.com/1424-8220/14/11/22021body movementrespiration detectionflexible projected capacitive sensing mattress |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wen-Ying Chang Chien-Chun Huang Chi-Chun Chen Chih-Cheng Chang Chin-Lung Yang |
spellingShingle |
Wen-Ying Chang Chien-Chun Huang Chi-Chun Chen Chih-Cheng Chang Chin-Lung Yang Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory Sensors body movement respiration detection flexible projected capacitive sensing mattress |
author_facet |
Wen-Ying Chang Chien-Chun Huang Chi-Chun Chen Chih-Cheng Chang Chin-Lung Yang |
author_sort |
Wen-Ying Chang |
title |
Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
title_short |
Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
title_full |
Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
title_fullStr |
Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
title_full_unstemmed |
Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
title_sort |
design of a novel flexible capacitive sensing mattress for monitoring sleeping respiratory |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-11-01 |
description |
In this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG) and other alternative contemporary systems, the proposed FPCSM uses projected capacitive sensing capability that is not worn or attached to the body. The FPCSM is composed of a multi-electrode sensor array that can not only observe gestures and motion behaviors, but also enables the FPCSM to function as a respiration monitor during sleep using the proposed approach. To improve long-term monitoring when body movement is possible, the FPCSM enables the selection of data from the sensing array, and the FPCSM methodology selects the electrodes with the optimal signals after the application of a channel reduction algorithm that counts the reversals in the capacitive sensing signals as a quality indicator. The simple algorithm is implemented in the time domain. The FPCSM system is used in experimental tests and is simultaneously compared with a commercial PSG system for verification. Multiple synchronous measurements are performed from different locations of body contact, and parallel data sets are collected. The experimental comparison yields a correlation coefficient of 0.88 between FPCSM and PSG, demonstrating the feasibility of the system design. |
topic |
body movement respiration detection flexible projected capacitive sensing mattress |
url |
http://www.mdpi.com/1424-8220/14/11/22021 |
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