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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2636-2639
Number of pages4
Volume2015-July
ISBN (Electronic)9781479983919
DOIs
Publication statusPublished - 2015 Jul 27
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 2015 May 242015 May 27

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
CountryPortugal
CityLisbon
Period15-05-2415-05-27

Fingerprint

Gait analysis
Stop watches
Controllers
Sensors
Health
Personnel

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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. In 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 (Vol. 2015-July, pp. 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. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2636-2639
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title = "An inertial sensor based balance and gait analysis system",
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. in 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. vol. 2015-July, 7169227, Institute of Electrical and Electronics Engineers Inc., pp. 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. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 2636-2639 7169227.

Research output: Chapter in Book/Report/Conference proceedingConference 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. In 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015. Vol. 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2636-2639. 7169227 https://doi.org/10.1109/ISCAS.2015.7169227