Two simple methods for determining gait events during treadmill and overground walking using kinematic data.
The determination of gait events such as heel strike and toe-off provide the basis for defining stance and swing phases of gait cycles. Two algorithms for determining event times for treadmill and overground walking based solely on kinematic data are presented. Kinematic data from treadmill walking...
| Publicado en: | Gait & Posture Vol. 27; no. 4; pp. 710 - 715 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
May2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105679349&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105679349 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09666362 3L6 jtl: Gait & Posture issn: 09666362 maglogo: N pubinfo: dt: May2008 vid: 27 iid: 4 pid: 1004 pub: Elsevier B.V. artinfo: ui: 105679349 105679349 NLM17723303 2010067578 10.1016/j.gaitpost.2007.07.007 NLM17723303 PMC2384115 105679349 ppf: 710 ppct: 5 formats: tig: atl: Two simple methods for determining gait events during treadmill and overground walking using kinematic data. aug: au: Zeni JA Jr Richards JG Higginson JS Zeni, J A Jr Richards, J G Higginson, J S affil: Department of Mechanical Engineering, Biomechanics and Movement Science Program, University of Delaware, Newark, DE, United States sug: subj: Algorithms Foot Physiology Gait Physiology Movement Disorders Physiopathology Multiple Sclerosis Physiopathology Stroke Physiopathology Walking Physiology Biomechanics ab: The determination of gait events such as heel strike and toe-off provide the basis for defining stance and swing phases of gait cycles. Two algorithms for determining event times for treadmill and overground walking based solely on kinematic data are presented. Kinematic data from treadmill walking trials lasting 20-45s were collected from three subject populations (healthy young, n=7; multiple sclerosis, n=7; stroke, n=4). Overground walking trials consisted of approximately eight successful passes over two force plates for a healthy subject population (n=5). Time of heel strike and toe-off were determined using the two new computational techniques and compared to events detected using vertical ground reaction force (GRF) as a gold standard. The two algorithms determined 94% of the treadmill events from healthy subjects within one frame (0.0167s) of the GRF events. In the impaired populations, 89% of treadmill events were within two frames (0.0334s) of the GRF events. For overground trials, 98% of events were within two frames. Automatic event detection from the two kinematic-based algorithms will aid researchers by accurately determining gait events during the analysis of treadmill and overground walking. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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