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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Published in | Sensors (Basel, Switzerland) Vol. 14; no. 11; pp. 22021 - 22038 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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20.11.2014
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ISSN | 1424-8220 1424-8220 |
DOI | 10.3390/s141122021 |
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Abstract | 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. |
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AbstractList | 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. 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.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. |
Author | Chang, Wen-Ying Chang, Chih-Cheng Yang, Chin-Lung Huang, Chien-Chun Chen, Chi-Chun |
AuthorAffiliation | 3 Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei 235, Taiwan; E-Mail: 09005@s.tmu.edu.tw 2 Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu 300, Taiwan 1 Department of Electrical Engineering, National Cheng-Kung University, Tainan 701, Taiwan; E-Mails: ee78350526@gmail.com (W.-Y.C.); chichun19771007@gmail.com (C.-C.C.) |
AuthorAffiliation_xml | – name: 2 Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu 300, Taiwan – name: 1 Department of Electrical Engineering, National Cheng-Kung University, Tainan 701, Taiwan; E-Mails: ee78350526@gmail.com (W.-Y.C.); chichun19771007@gmail.com (C.-C.C.) – name: 3 Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei 235, Taiwan; E-Mail: 09005@s.tmu.edu.tw |
Author_xml | – sequence: 1 givenname: Wen-Ying surname: Chang fullname: Chang, Wen-Ying – sequence: 2 givenname: Chien-Chun surname: Huang fullname: Huang, Chien-Chun – sequence: 3 givenname: Chi-Chun surname: Chen fullname: Chen, Chi-Chun – sequence: 4 givenname: Chih-Cheng surname: Chang fullname: Chang, Chih-Cheng – sequence: 5 givenname: Chin-Lung orcidid: 0000-0002-5542-7576 surname: Yang fullname: Yang, Chin-Lung |
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CitedBy_id | crossref_primary_10_1088_1361_6579_ab21b5 crossref_primary_10_1007_s11433_018_9239_9 crossref_primary_10_1039_D3TC04143C crossref_primary_10_1109_ACCESS_2021_3057256 crossref_primary_10_3390_s21041119 crossref_primary_10_1109_ACCESS_2020_2976194 crossref_primary_10_1109_JSEN_2019_2925022 crossref_primary_10_3390_app11062552 crossref_primary_10_1109_RBME_2020_3033930 crossref_primary_10_3390_s21051562 crossref_primary_10_1109_JSEN_2017_2749233 crossref_primary_10_1155_2016_1436371 |
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SubjectTerms | Algorithms Arrays Bedding Beds Behavior body movement Cameras Channels Conductometry - instrumentation Detection Elastic Modulus Electric Capacitance Electronics, Medical - instrumentation Equipment Design Equipment Failure Analysis flexible projected capacitive sensing mattress Monitoring Monitoring systems Physiology Polysomnography - instrumentation Recording equipment Reproducibility of Results Respiration respiration detection Respiratory Function Tests - instrumentation Respiratory Mechanics - physiology Sensitivity and Specificity Sensor arrays Sensors Sleep Transducers |
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Title | Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory |
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