Literature DB >> 28686998

Development and validity of methods for the estimation of temporal gait parameters from heel-attached inertial sensors in younger and older adults.

Shogo Misu1, Tsuyoshi Asai2, Rei Ono3, Ryuichi Sawa4, Kota Tsutsumimoto5, Hiroshi Ando6, Takehiko Doi7.   

Abstract

The heel is likely a suitable location to which inertial sensors are attached for the detection of gait events. However, there are few studies to detect gait events and determine temporal gait parameters using sensors attached to the heels. We developed two methods to determine temporal gait parameters: detecting heel-contact using acceleration and detecting toe-off using angular velocity data (acceleration-angular velocity method; A-V method), and detecting both heel-contact and toe-off using angular velocity data (angular velocity-angular velocity method; V-V method). The aim of this study was to examine the concurrent validity of the A-V and V-V methods against the standard method, and to compare their accuracy. Temporal gait parameters were measured in 10 younger and 10 older adults. The intra-class correlation coefficients were excellent in both methods compared with the standard method (0.80 to 1.00). The root mean square errors of stance and swing time in the A-V method were smaller than the V-V method in older adults, although there were no significant discrepancies in the other comparisons. Our study suggests that inertial sensors attached to the heels, using the A-V method in particular, provide a valid measurement of temporal gait parameters.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Acceleration; Angular velocity; Gait; Older adults; Root mean square error; Validity

Mesh:

Year:  2017        PMID: 28686998     DOI: 10.1016/j.gaitpost.2017.06.022

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  3 in total

1.  Identification of Patients with Sarcopenia Using Gait Parameters Based on Inertial Sensors.

Authors:  Jeong-Kyun Kim; Myung-Nam Bae; Kang Bok Lee; Sang Gi Hong
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

2.  Applied Assessment Method for Varus Thrust during Walking in Patients with Knee Osteoarthritis Using Acceleration Data Measured by an Inertial Measurement Unit.

Authors:  Shogo Misu; So Tanaka; Kohei Ishihara; Tsuyoshi Asai; Tomohiko Nishigami
Journal:  Sensors (Basel)       Date:  2022-08-27       Impact factor: 3.847

3.  Machine Learning Prediction of Fall Risk in Older Adults Using Timed Up and Go Test Kinematics.

Authors:  Venous Roshdibenam; Gerald J Jogerst; Nicholas R Butler; Stephen Baek
Journal:  Sensors (Basel)       Date:  2021-05-17       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.