Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting
In recent years, the number of senior citizens needing nursing care has been increasing rapidly. Pressure ulcer is a major health issue for such people. In this study, for early detection of pressure ulcer, we developed a monitoring system by using a fabric sensor sheet that can monitor the degree o...
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Format: | Article |
Language: | Japanese |
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The Japan Society of Mechanical Engineers
2020-12-01
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Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/86/892/86_20-00199/_pdf/-char/en |
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author | Jun FUJIOKA Riku TAKUMA Yoshikazu KAWAYOKE Daisuke MIYASHITA |
author_facet | Jun FUJIOKA Riku TAKUMA Yoshikazu KAWAYOKE Daisuke MIYASHITA |
author_sort | Jun FUJIOKA |
collection | DOAJ |
description | In recent years, the number of senior citizens needing nursing care has been increasing rapidly. Pressure ulcer is a major health issue for such people. In this study, for early detection of pressure ulcer, we developed a monitoring system by using a fabric sensor sheet that can monitor the degree of progress of pressure ulcer daily. This sheet is made using conductive knitting, and it functions as a sensor for measuring body pressure distributions of a user sleeping directly on the sensor sheet. It does not disturb the movement of the user and has an advantage of superior breathability and flexibility in comparison with existing pressure sensors. Moreover, our new design comprises a laminar structure for the wiring of the device, for ease of use. We measured the sleep postures of six subjects using this system and monitored those clearly. For our experiment results, we used a deep neural network (DNN) to distinguish each sleep posture and used a support vector machine (SVM) to determine the positions that caused pressure ulcer the most. As a result of these examinations, we showed that it was possible to distinguish the sleep postures with a high accuracy of 98% or more, and it was also possible to identify the positions that caused pressure ulcer the most. |
first_indexed | 2024-04-11T15:28:10Z |
format | Article |
id | doaj.art-b9fc64b0e21b46718a0b0c07aab54d9e |
institution | Directory Open Access Journal |
issn | 2187-9761 |
language | Japanese |
last_indexed | 2024-04-11T15:28:10Z |
publishDate | 2020-12-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Nihon Kikai Gakkai ronbunshu |
spelling | doaj.art-b9fc64b0e21b46718a0b0c07aab54d9e2022-12-22T04:16:12ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612020-12-018689220-0019920-0019910.1299/transjsme.20-00199transjsmeDevelopment and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knittingJun FUJIOKA0Riku TAKUMA1Yoshikazu KAWAYOKE2Daisuke MIYASHITA3Department of Mechanical Engineering, National College of TechnologyDepartment of Mechanical Engineering, National College of TechnologyDepartment of Mechanical Engineering, National College of TechnologyDepartment of Mechanical Engineering, National College of TechnologyIn recent years, the number of senior citizens needing nursing care has been increasing rapidly. Pressure ulcer is a major health issue for such people. In this study, for early detection of pressure ulcer, we developed a monitoring system by using a fabric sensor sheet that can monitor the degree of progress of pressure ulcer daily. This sheet is made using conductive knitting, and it functions as a sensor for measuring body pressure distributions of a user sleeping directly on the sensor sheet. It does not disturb the movement of the user and has an advantage of superior breathability and flexibility in comparison with existing pressure sensors. Moreover, our new design comprises a laminar structure for the wiring of the device, for ease of use. We measured the sleep postures of six subjects using this system and monitored those clearly. For our experiment results, we used a deep neural network (DNN) to distinguish each sleep posture and used a support vector machine (SVM) to determine the positions that caused pressure ulcer the most. As a result of these examinations, we showed that it was possible to distinguish the sleep postures with a high accuracy of 98% or more, and it was also possible to identify the positions that caused pressure ulcer the most.https://www.jstage.jst.go.jp/article/transjsme/86/892/86_20-00199/_pdf/-char/entextile sensorpressure ulcer preventionconductive knittingdnnsvmsleep posture |
spellingShingle | Jun FUJIOKA Riku TAKUMA Yoshikazu KAWAYOKE Daisuke MIYASHITA Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting Nihon Kikai Gakkai ronbunshu textile sensor pressure ulcer prevention conductive knitting dnn svm sleep posture |
title | Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
title_full | Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
title_fullStr | Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
title_full_unstemmed | Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
title_short | Development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
title_sort | development and evaluation of sleep posture monitoring system by using body pressure distribution measuring sheet made of conductive knitting |
topic | textile sensor pressure ulcer prevention conductive knitting dnn svm sleep posture |
url | https://www.jstage.jst.go.jp/article/transjsme/86/892/86_20-00199/_pdf/-char/en |
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