Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors

ObjectiveTo verify the reliability and validity of a portable Right Gait &amp; Posture<sup>®</sup> gait detection system based on wearable sensors.MethodsA total of 36 healthy volunteers were recruited in the Jiangsu Zhongshan Geriatric Rehabilitation Hospital from August to November...

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Main Authors: WAN Chunli, GUO Chuan, WANG Xue, WANG Yuan, WANG Jian, QIAN Yingzhou, SUN Zhenyu, ZOU Jun, HUANG Sisi
Format: Article
Language:English
Published: Editorial Office of Rehabilitation Medicine 2024-08-01
Series:康复学报
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Online Access:http://kfxb.publish.founderss.cn/thesisDetails#10.3724/SP.J.1329.2024.04011
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author WAN Chunli
GUO Chuan
WANG Xue
WANG Yuan
WANG Jian
QIAN Yingzhou
SUN Zhenyu
ZOU Jun
HUANG Sisi
author_facet WAN Chunli
GUO Chuan
WANG Xue
WANG Yuan
WANG Jian
QIAN Yingzhou
SUN Zhenyu
ZOU Jun
HUANG Sisi
author_sort WAN Chunli
collection DOAJ
description ObjectiveTo verify the reliability and validity of a portable Right Gait &amp; Posture<sup>®</sup> gait detection system based on wearable sensors.MethodsA total of 36 healthy volunteers were recruited in the Jiangsu Zhongshan Geriatric Rehabilitation Hospital from August to November 2023. Right Gait &amp; Posture<sup>®</sup> system was used to detect the gait of each subject for three times by two trained assessors. The assessor 1 completed the first and second tests, and the assessor 2 completed the third test. All tests were completed on the same day. Gait parameters such as gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, foot deviation angle, ground contact angle, ground contact inward rotation angle and propulsion angle were recorded. The intragroup correlation coefficient (ICC) was used to calculate the inter-tester reliability and the relative reliability of the repeated tests, and the standard error of measurement (SEM) and the minimum detectable change (MDC) were calculated as the absolute reliability of the repeated tests. With video gait analysis as a control, Bland-Altman method was used to calculate the 95% consistency limit, and the validity of the Right Gait &amp; Posture<sup>®</sup> gait detection system in detecting gait cycle, swing phase ratio, stance phase proportion and walking speed was analyzed.Results(1) Inter-tester reliability: the ICC values of gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, foot deviation angle, ground contact angle, ground contact inward rotation angle, forward propulsion angle and foot deviation angle between two assessors were 0.901 to 0.981. (2) Test-retest reliability: the ICC values of gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, ground contact angle, ground contact inward rotation angle and forward propulsion angle and foot deviation angle between the two tests of the same assessor were 0.822 to 0.983. The SEM and SEM% values of gait parameters were 0.02 to 2.17 and 0.49% to 13.83%, respectively. The MDC and MDC% values were 0.06 to 6.02 and 1.37% to 38.34%, respectively. (3) Validity analysis: Bland-Altman plot showed that the mean absolute errors and 95% <italic>CI</italic> of gait cycle, swing phase proportion, stance phase proportion and walking speed were 0.003 s, (-0.059, 0.064); 0.756%, (-3.048, 4.560); -0.756%, (-4.560, 3.048); -0.001 m/s, (-0.155, 0.152), respectively.ConclusionRight Gait &amp; Posture® gait detection system shows good reliability in spatio-temporal parameters and ankle kinematics parameters, and has high validity in gait cycle, swing phase proportion, stance phase proportion and walking speed, which is recommended for clinical application.
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spelling doaj-art-766507fc907f4e60ae82cda558a25ff62025-01-14T10:09:04ZengEditorial Office of Rehabilitation Medicine康复学报2096-03282024-08-013438338965672538Reliability and Validity Study of A Portable Gait Detection System Based on Wearable SensorsWAN ChunliGUO ChuanWANG XueWANG YuanWANG JianQIAN YingzhouSUN ZhenyuZOU JunHUANG SisiObjectiveTo verify the reliability and validity of a portable Right Gait &amp; Posture<sup>®</sup> gait detection system based on wearable sensors.MethodsA total of 36 healthy volunteers were recruited in the Jiangsu Zhongshan Geriatric Rehabilitation Hospital from August to November 2023. Right Gait &amp; Posture<sup>®</sup> system was used to detect the gait of each subject for three times by two trained assessors. The assessor 1 completed the first and second tests, and the assessor 2 completed the third test. All tests were completed on the same day. Gait parameters such as gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, foot deviation angle, ground contact angle, ground contact inward rotation angle and propulsion angle were recorded. The intragroup correlation coefficient (ICC) was used to calculate the inter-tester reliability and the relative reliability of the repeated tests, and the standard error of measurement (SEM) and the minimum detectable change (MDC) were calculated as the absolute reliability of the repeated tests. With video gait analysis as a control, Bland-Altman method was used to calculate the 95% consistency limit, and the validity of the Right Gait &amp; Posture<sup>®</sup> gait detection system in detecting gait cycle, swing phase ratio, stance phase proportion and walking speed was analyzed.Results(1) Inter-tester reliability: the ICC values of gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, foot deviation angle, ground contact angle, ground contact inward rotation angle, forward propulsion angle and foot deviation angle between two assessors were 0.901 to 0.981. (2) Test-retest reliability: the ICC values of gait cycle, swing phase proportion, stance phase proportion, walking speed, stride frequency, stride length, ground contact angle, ground contact inward rotation angle and forward propulsion angle and foot deviation angle between the two tests of the same assessor were 0.822 to 0.983. The SEM and SEM% values of gait parameters were 0.02 to 2.17 and 0.49% to 13.83%, respectively. The MDC and MDC% values were 0.06 to 6.02 and 1.37% to 38.34%, respectively. (3) Validity analysis: Bland-Altman plot showed that the mean absolute errors and 95% <italic>CI</italic> of gait cycle, swing phase proportion, stance phase proportion and walking speed were 0.003 s, (-0.059, 0.064); 0.756%, (-3.048, 4.560); -0.756%, (-4.560, 3.048); -0.001 m/s, (-0.155, 0.152), respectively.ConclusionRight Gait &amp; Posture® gait detection system shows good reliability in spatio-temporal parameters and ankle kinematics parameters, and has high validity in gait cycle, swing phase proportion, stance phase proportion and walking speed, which is recommended for clinical application.http://kfxb.publish.founderss.cn/thesisDetails#10.3724/SP.J.1329.2024.04011gait analysiswearable sensorInertial sensorInsole pressure sensorvideo gait analysisreliabilityvalidity
spellingShingle WAN Chunli
GUO Chuan
WANG Xue
WANG Yuan
WANG Jian
QIAN Yingzhou
SUN Zhenyu
ZOU Jun
HUANG Sisi
Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
康复学报
gait analysis
wearable sensor
Inertial sensor
Insole pressure sensor
video gait analysis
reliability
validity
title Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
title_full Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
title_fullStr Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
title_full_unstemmed Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
title_short Reliability and Validity Study of A Portable Gait Detection System Based on Wearable Sensors
title_sort reliability and validity study of a portable gait detection system based on wearable sensors
topic gait analysis
wearable sensor
Inertial sensor
Insole pressure sensor
video gait analysis
reliability
validity
url http://kfxb.publish.founderss.cn/thesisDetails#10.3724/SP.J.1329.2024.04011
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AT sunzhenyu reliabilityandvaliditystudyofaportablegaitdetectionsystembasedonwearablesensors
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