A Novel Methodology for Extracting and Evaluating Therapeutic Movements in Game-Based Motion Capture Rehabilitation Systems.
Virtual rehabilitation yields outcomes that are at least as good as traditional care for improving upper limb function and the capacity to carry out activities of daily living. Due to the advent of low-cost gaming systems and patient preference for game-based therapies, video game technology will li...
| Published in: | Journal of Medical Systems Vol. 42; no. 12; pp. 1 - 2 |
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| Main Authors: | , , , , , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133352453&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133352453 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2018 vid: 42 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133352453 133352453 133352453 10.1007/s10916-018-1113-4 133352453 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Novel Methodology for Extracting and Evaluating Therapeutic Movements in Game-Based Motion Capture Rehabilitation Systems. aug: au: Yang, Zhichao Rafiei, Mohammad H. Hall, Alexis Thomas, Caroline Midtlien, Hali A. Hasselbach, Alexander Adeli, Hojjat Gauthier, Lynne V. affil: College of Information and Computer Sciences, University of Massachusetts Amherst, 01003, Amherst, MA, USA sug: subj: Stroke Rehabilitation Telerehabilitation Methods Video Games Kinematics Motion Capture Human Male Female Middle Age Aged Physical Therapy Patient Preference Activities of Daily Living Upper Extremity Recreational Therapy Hemiplegia Signal Processing, Computer Assisted Test-Retest Reliability Descriptive Statistics Movement Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Virtual rehabilitation yields outcomes that are at least as good as traditional care for improving upper limb function and the capacity to carry out activities of daily living. Due to the advent of low-cost gaming systems and patient preference for game-based therapies, video game technology will likely be increasingly utilized in physical therapy practice in the coming years. Gaming systems that incorporate low-cost motion capture technology often generate large datasets of therapeutic movements performed over the course of rehabilitation. An infrastructure has yet to be established, however, to enable efficient processing of large quantities of movement data that are collected outside of a controlled laboratory setting. In this paper, a methodology is presented for extracting and evaluating therapeutic movements from game-based rehabilitation that occurs in uncontrolled and unmonitored settings. By overcoming these challenges, meaningful kinematic analysis of rehabilitation trajectory within an individual becomes feasible. Moreover, this methodological approach provides a vehicle for analyzing large datasets generated in uncontrolled clinical settings to enable better predictions of rehabilitation potential and dose-response relationships for personalized medicine. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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