Patient-Tailored Augmented Reality Games for Assessing Upper Extremity Motor Impairments in Parkinson's Disease and Stroke.
In clinical practice, upper extremity motor impairments are commonly assessed with disease-specific, subjectively scored and low-resolution rating scales that often do not consider the variations in tasks and environment that are essential aspects of daily life. Augmented reality (AR) systems with c...
| Published in: | Journal of Medical Systems Vol. 42; no. 12; pp. 1 - 2 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
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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=133352441&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133352441 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: 133352441 133352441 133352441 10.1007/s10916-018-1100-9 133352441 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Patient-Tailored Augmented Reality Games for Assessing Upper Extremity Motor Impairments in Parkinson's Disease and Stroke. aug: au: Bank, Paulina J. M. Cidota, Marina A. Ouwehand, P. (Elma) W. Lukosch, Stephan G. affil: Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300, Leiden, RC, The Netherlands sug: subj: Augmented Reality Games Motor Activity Evaluation Hand Physiology Upper Extremity Physiopathology Parkinson Disease Stroke Patients Funding Source Human Male Female Middle Age Aged Netherlands Outpatients Academic Medical Centers Matched Case Control Questionnaires Scales Computer Terminals Software Descriptive Statistics Analysis of Variance Mann-Whitney U Test T-Tests Wilcoxon Rank Sum Test Data Analysis Software Post Hoc Analysis Middle Aged: 45-64 years Aged: 65+ years Male Female ab: In clinical practice, upper extremity motor impairments are commonly assessed with disease-specific, subjectively scored and low-resolution rating scales that often do not consider the variations in tasks and environment that are essential aspects of daily life. Augmented reality (AR) systems with contactless tracking of the hand and upper body offer opportunities for objective quantification of motor (dys)function in a challenging, engaging and patient-tailored environment. In this study, we explore the potential of AR for evaluating 1) speed and goal-directedness of movements within the individually determined interaction space, 2) adaptation of hand opening to objects of different sizes, and 3) obstacle avoidance in healthy individuals (N = 10) and two highly prevalent neurological conditions (N = 10 patients with Parkinson's Disease and N = 10 stroke patients). We successfully implemented three AR games to evaluate these key aspects of motor function. As expected, PD patients moved slower than controls and needed more time for task completion. No differences were observed between stroke patients and controls, perhaps because motor impairments in this patient group were relatively mild. Importantly, usability of our AR system was good and considerably improved compared to our previous study due to more natural and patient-tailored interaction. Although our findings testify to the potential of AR for assessing motor impairments in patients with neurological conditions and provide starting points for further improvement, there are still many steps to be taken towards application in clinical practice. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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