An inertial sensor based balance and gait analysis system

Wei Hsin Wang, Pau-Choo Chung, Guo Liang Yang, Chien Wen Lin, Yu Liang Hsu, Ming-Chyi Pai

研究成果: Conference contribution

4 引文 (Scopus)

摘要

Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and gait analysis in TUGT. This system is designed to be of easy use with the software automatically measuring the time intervals of stand-up time, sit-down time, and the total time of test. In addition, the system can also obtain the gait information of stride time, swing time, and stance time. To validate the system, we compared the performance with that obtained from stopwatch using videos as the gold standard. The results indicate that the system not only provides a convenient way of measurement but also achieves higher accurate and reliable measurement results than using stopwatch. We use this system to compare the Alzheimer's disease patients (ADs) with health controllers (HCs). The results show that the ADs need longer stand-up time, sit-down time, and total time while taking the TUGT compared to the HCs. The stride time, swing time, and stance time are also longer than the HCs'. Such a friendly system provides high potential in tracking long-time patterns for diagnosis.

原文English
主出版物標題2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2636-2639
頁數4
2015-July
ISBN(電子)9781479983919
DOIs
出版狀態Published - 2015 七月 27
事件IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
持續時間: 2015 五月 242015 五月 27

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
國家Portugal
城市Lisbon
期間15-05-2415-05-27

指紋

Gait analysis
Stop watches
Controllers
Sensors
Health
Personnel

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

引用此文

Wang, W. H., Chung, P-C., Yang, G. L., Lin, C. W., Hsu, Y. L., & Pai, M-C. (2015). An inertial sensor based balance and gait analysis system. 於 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 (卷 2015-July, 頁 2636-2639). [7169227] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2015.7169227
Wang, Wei Hsin ; Chung, Pau-Choo ; Yang, Guo Liang ; Lin, Chien Wen ; Hsu, Yu Liang ; Pai, Ming-Chyi. / An inertial sensor based balance and gait analysis system. 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. 卷 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. 頁 2636-2639
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abstract = "Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and gait analysis in TUGT. This system is designed to be of easy use with the software automatically measuring the time intervals of stand-up time, sit-down time, and the total time of test. In addition, the system can also obtain the gait information of stride time, swing time, and stance time. To validate the system, we compared the performance with that obtained from stopwatch using videos as the gold standard. The results indicate that the system not only provides a convenient way of measurement but also achieves higher accurate and reliable measurement results than using stopwatch. We use this system to compare the Alzheimer's disease patients (ADs) with health controllers (HCs). The results show that the ADs need longer stand-up time, sit-down time, and total time while taking the TUGT compared to the HCs. The stride time, swing time, and stance time are also longer than the HCs'. Such a friendly system provides high potential in tracking long-time patterns for diagnosis.",
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Wang, WH, Chung, P-C, Yang, GL, Lin, CW, Hsu, YL & Pai, M-C 2015, An inertial sensor based balance and gait analysis system. 於 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. 卷 2015-July, 7169227, Institute of Electrical and Electronics Engineers Inc., 頁 2636-2639, IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, 15-05-24. https://doi.org/10.1109/ISCAS.2015.7169227

An inertial sensor based balance and gait analysis system. / Wang, Wei Hsin; Chung, Pau-Choo; Yang, Guo Liang; Lin, Chien Wen; Hsu, Yu Liang; Pai, Ming-Chyi.

2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. 卷 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 2636-2639 7169227.

研究成果: Conference contribution

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AB - Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and gait analysis in TUGT. This system is designed to be of easy use with the software automatically measuring the time intervals of stand-up time, sit-down time, and the total time of test. In addition, the system can also obtain the gait information of stride time, swing time, and stance time. To validate the system, we compared the performance with that obtained from stopwatch using videos as the gold standard. The results indicate that the system not only provides a convenient way of measurement but also achieves higher accurate and reliable measurement results than using stopwatch. We use this system to compare the Alzheimer's disease patients (ADs) with health controllers (HCs). The results show that the ADs need longer stand-up time, sit-down time, and total time while taking the TUGT compared to the HCs. The stride time, swing time, and stance time are also longer than the HCs'. Such a friendly system provides high potential in tracking long-time patterns for diagnosis.

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Wang WH, Chung P-C, Yang GL, Lin CW, Hsu YL, Pai M-C. An inertial sensor based balance and gait analysis system. 於 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. 卷 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2636-2639. 7169227 https://doi.org/10.1109/ISCAS.2015.7169227