Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89380
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Biomedical Engineering-
dc.contributorChinese Mainland Affairs Office-
dc.creatorZhang, Gen_US
dc.creatorWong, IKKen_US
dc.creatorChen, TLWen_US
dc.creatorHong, TTHen_US
dc.creatorWong, DWCen_US
dc.creatorPeng, Yen_US
dc.creatorYan, Fen_US
dc.creatorWang, Yanen_US
dc.creatorTan, Qen_US
dc.creatorZhang, Men_US
dc.date.accessioned2021-03-18T03:05:24Z-
dc.date.available2021-03-18T03:05:24Z-
dc.identifier.urihttp://hdl.handle.net/10397/89380-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhang, G.; Wong, I.K.-K.; Chen, T.L.-W.; Hong, T.T.-H.; Wong, D.W.-C.; Peng, Y.; Yan, F.; Wang, Y.; Tan, Q.; Zhang, M. Identifying Fatigue Indicators Using Gait Variability Measures: A Longitudinal Study on Elderly Brisk Walking. Sensors 2020, 20, 6983 is available at https://dx.doi.org/10.3390/s20236983.en_US
dc.subjectFatigueen_US
dc.subjectBrisk walkingen_US
dc.subjectKinematicsen_US
dc.subjectGaiten_US
dc.subjectInertial measurement uniten_US
dc.titleIdentifying fatigue indicators using gait variability measures : a longitudinal study on elderly brisk walkingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage12en_US
dc.identifier.volume20en_US
dc.identifier.issue23en_US
dc.identifier.doi10.3390/s20236983en_US
dcterms.abstractReal-time detection of fatigue in the elderly during physical exercises can help identify the stability and thus falling risks which are commonly achieved by the investigation of kinematic parameters. In this study, we aimed to identify the change in gait variability parameters from inertial measurement units (IMU) during a course of 60 min brisk walking which could lay the foundation for the development of fatigue-detecting wearable sensors. Eighteen elderly people were invited to participate in the brisk walking trials for 60 min with a single IMU attached to the posterior heel region of the dominant side. Nine sets of signals, including the accelerations, angular velocities, and rotation angles of the heel in three anatomical axes, were measured and extracted at the three walking times (baseline, 30th min, and 60th min) of the trial for analysis. Sixteen of eighteen participants reported fatigue after walking, and there were significant differences in the median acceleration (p = 0.001), variability of angular velocity (p = 0.025), and range of angle rotation (p = 0.0011), in the medial–lateral direction. In addition, there were also significant differences in the heel pronation angle (p = 0.005) and variability and energy consumption of the angles in the anterior–posterior axis (p = 0.028, p = 0.028), medial–lateral axis (p = 0.014, p = 0.014), and vertical axis (p = 0.002, p < 0.001). Our study demonstrated that a single IMU on the posterior heel of the dominant side can address the variability of kinematics parameters for elderly performing prolonged brisk walking and could serve as an indicator for walking instability, and thus fatigue.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationSensors, Dec. 2020, v. 20, no. 23, 6983, p. 1-12en_US
dcterms.isPartOfSensorsen_US
dcterms.issued2020-12-
dc.identifier.eissn1424-8220en_US
dc.identifier.artn6983en_US
dc.description.validate202103 bcrc-
dc.description.oaVersion of Record-
dc.identifier.FolderNumbera0641-n20-
dc.identifier.SubFormID698-
dc.description.fundingSourceOthers-
dc.description.fundingTextInnovation and Technology Fund (ITS/262/18), NSFC (11732015), NSFC (11972315)-
dc.description.pubStatusPublished-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
a0641-n20_698_Zhang2020_FatigueIdentify.pdf2.56 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

19
Citations as of Jun 26, 2022

Downloads

1
Citations as of Jun 26, 2022

SCOPUSTM   
Citations

2
Citations as of Jun 23, 2022

WEB OF SCIENCETM
Citations

2
Citations as of Jun 23, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.