EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system
Call bell systems play an essential role in patient and nurse interaction in hospitals and at homes. However, many hospitalized patients, especially patients with tetraplegia, cannot press a call bell button for assistance due to hand weakness or paralysis from the neck down. This problem has motiva...
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my.um.eprints.432192023-11-14T08:50:47Z http://eprints.um.edu.my/43219/ EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system Alias, Normazlianita Mohamad Razak, Zakiran Abd Janjori, Munirah Ahmad, Mohd Yazed Patrick Engkasan, Julia Hamzaid, Nur Azah QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Call bell systems play an essential role in patient and nurse interaction in hospitals and at homes. However, many hospitalized patients, especially patients with tetraplegia, cannot press a call bell button for assistance due to hand weakness or paralysis from the neck down. This problem has motivated developing a fabric-based multi-array pressure sensor as a call bell garment, named ePillow, that works by detecting the pressure pattern on a pillow surface where the patient is lying down. In this study, off-the-shelf materials were utilized to form: i) a fabric-based multi-array pressure sensor system, ii) an acquisition circuit along with an interface, and iii) a signal processing algorithm to acquire and interpret the sensor data. To ensure the functionality of the proposed ePillow, a color-coded mesh plot was developed to visualize the sensor data. The reliability of the system was tested with two individuals. The pressure profile of the proposed ePillow shows a comparable profile to that of the commercialized pressure sensor. Findings from this case study have demonstrated the ability to map the force on the surface of the pillow and subsequently the location of the force applied with 71 accuracy and 70 sensitivity. © 2022 Penerbit UTM Press. All rights reserved. Penerbit UTM Press 2022-01 Article PeerReviewed Alias, Normazlianita Mohamad and Razak, Zakiran Abd and Janjori, Munirah and Ahmad, Mohd Yazed and Patrick Engkasan, Julia and Hamzaid, Nur Azah (2022) EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system. Jurnal Teknologi-Sciences & Engineering, 84 (1). 183 – 192. ISSN 0127-9696, DOI https://doi.org/10.11113/jurnalteknologi.v84.17381 <https://doi.org/10.11113/jurnalteknologi.v84.17381>. 10.11113/jurnalteknologi.v84.17381 |
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QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Alias, Normazlianita Mohamad Razak, Zakiran Abd Janjori, Munirah Ahmad, Mohd Yazed Patrick Engkasan, Julia Hamzaid, Nur Azah EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
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Call bell systems play an essential role in patient and nurse interaction in hospitals and at homes. However, many hospitalized patients, especially patients with tetraplegia, cannot press a call bell button for assistance due to hand weakness or paralysis from the neck down. This problem has motivated developing a fabric-based multi-array pressure sensor as a call bell garment, named ePillow, that works by detecting the pressure pattern on a pillow surface where the patient is lying down. In this study, off-the-shelf materials were utilized to form: i) a fabric-based multi-array pressure sensor system, ii) an acquisition circuit along with an interface, and iii) a signal processing algorithm to acquire and interpret the sensor data. To ensure the functionality of the proposed ePillow, a color-coded mesh plot was developed to visualize the sensor data. The reliability of the system was tested with two individuals. The pressure profile of the proposed ePillow shows a comparable profile to that of the commercialized pressure sensor. Findings from this case study have demonstrated the ability to map the force on the surface of the pillow and subsequently the location of the force applied with 71 accuracy and 70 sensitivity. © 2022 Penerbit UTM Press. All rights reserved. |
format |
Article |
author |
Alias, Normazlianita Mohamad Razak, Zakiran Abd Janjori, Munirah Ahmad, Mohd Yazed Patrick Engkasan, Julia Hamzaid, Nur Azah |
author_facet |
Alias, Normazlianita Mohamad Razak, Zakiran Abd Janjori, Munirah Ahmad, Mohd Yazed Patrick Engkasan, Julia Hamzaid, Nur Azah |
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Alias, Normazlianita Mohamad |
title |
EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
title_short |
EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
title_full |
EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
title_fullStr |
EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
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EPillow: A fabric-based pressure sensor array for tetraplegic patient call detection system |
title_sort |
epillow: a fabric-based pressure sensor array for tetraplegic patient call detection system |
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Penerbit UTM Press |
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2022 |
url |
http://eprints.um.edu.my/43219/ |
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1783876742093471744 |