Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor

Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG’s electrodes can c...

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Main Authors: Kitagawa, Kodai, Matsumoto, Koji, Iwanaga, Kensuke, Ahmad, Siti Anom, Nagasaki, Takayuki, Nakano, Sota, Hida, Mitsumasa, Okamatsu, Shogo, Wada, Chikamune
Format: Article
Published: Engineering and Technology Publishing 2021
Online Access:http://psasir.upm.edu.my/id/eprint/94107/
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author Kitagawa, Kodai
Matsumoto, Koji
Iwanaga, Kensuke
Ahmad, Siti Anom
Nagasaki, Takayuki
Nakano, Sota
Hida, Mitsumasa
Okamatsu, Shogo
Wada, Chikamune
author_facet Kitagawa, Kodai
Matsumoto, Koji
Iwanaga, Kensuke
Ahmad, Siti Anom
Nagasaki, Takayuki
Nakano, Sota
Hida, Mitsumasa
Okamatsu, Shogo
Wada, Chikamune
author_sort Kitagawa, Kodai
building UPM Institutional Repository
collection Online Access
description Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG’s electrodes can cause skin irritation and be uncomfortable. Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. Inertial sensors measure acceleration and angular velocity of the trunk. Shoe-type force sensors measure vertical force of the feet. A regression model obtained from a machine learning algorithm can predict erector spinae muscle activity using inertial and force data. In our experiment, we evaluated the accuracy of our method by comparing sensor data with surface EMG data in patient handling. Results show that this method can measure erector spinae muscle activity with a small error (less than 5% maximal voluntary contractions) and a significantly high correlation with actual value (r = 0.891, p <0.05). In addition, a Bland-Altman plot showed no fixed and proportional errors. These findings indicate that our proposed method can accurately monitor the lumbar loads of caregivers.
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spelling upm-941072023-05-23T02:44:23Z http://psasir.upm.edu.my/id/eprint/94107/ Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor Kitagawa, Kodai Matsumoto, Koji Iwanaga, Kensuke Ahmad, Siti Anom Nagasaki, Takayuki Nakano, Sota Hida, Mitsumasa Okamatsu, Shogo Wada, Chikamune Because caregivers often experience lower back pain caused by lumbar load from patient handling, monitoring this load can help prevent pain. Erector spinae muscle activity, which is measured and monitored as lumbar load, is commonly measured by electromyography (EMG). However, EMG’s electrodes can cause skin irritation and be uncomfortable. Therefore, measuring muscle activity without electrodes is necessary. In this study, we propose a method for estimating erector spinae muscle activity using wearable sensors, specifically inertial and shoe-type force sensors. Inertial sensors measure acceleration and angular velocity of the trunk. Shoe-type force sensors measure vertical force of the feet. A regression model obtained from a machine learning algorithm can predict erector spinae muscle activity using inertial and force data. In our experiment, we evaluated the accuracy of our method by comparing sensor data with surface EMG data in patient handling. Results show that this method can measure erector spinae muscle activity with a small error (less than 5% maximal voluntary contractions) and a significantly high correlation with actual value (r = 0.891, p <0.05). In addition, a Bland-Altman plot showed no fixed and proportional errors. These findings indicate that our proposed method can accurately monitor the lumbar loads of caregivers. Engineering and Technology Publishing 2021-07 Article PeerReviewed Kitagawa, Kodai and Matsumoto, Koji and Iwanaga, Kensuke and Ahmad, Siti Anom and Nagasaki, Takayuki and Nakano, Sota and Hida, Mitsumasa and Okamatsu, Shogo and Wada, Chikamune (2021) Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor. International Journal of Electrical and Electronic Engineering and Telecommunications, 10 (4). art. no. 6. 283 - 287. ISSN 2319-2518 http://www.ijeetc.com/index.php?m=content&c=index&a=show&catid=213&id=1526 10.18178/ijeetc.10.4.283-287
spellingShingle Kitagawa, Kodai
Matsumoto, Koji
Iwanaga, Kensuke
Ahmad, Siti Anom
Nagasaki, Takayuki
Nakano, Sota
Hida, Mitsumasa
Okamatsu, Shogo
Wada, Chikamune
Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title_full Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title_fullStr Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title_full_unstemmed Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title_short Measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
title_sort measurement method for erector spinae muscle activity during patient handling using inertial sensor and shoe-type force sensor
url http://psasir.upm.edu.my/id/eprint/94107/
http://psasir.upm.edu.my/id/eprint/94107/
http://psasir.upm.edu.my/id/eprint/94107/