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 inSensors (Basel, Switzerland) Vol. 14; no. 11; pp. 22021 - 22038
Main Authors Chang, Wen-Ying, Huang, Chien-Chun, Chen, Chi-Chun, Chang, Chih-Cheng, Yang, Chin-Lung
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 20.11.2014
MDPI
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ISSN1424-8220
1424-8220
DOI10.3390/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.
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.)
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Snippet In this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM) designed for personal health...
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StartPage 22021
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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