Abstract:
: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.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Yang Z,Rafiei MH,Hall A,Thomas C,Midtlien HA,Hasselbach A,Adeli H,Gauthier LVdoi
10.1007/s10916-018-1113-4subject
Has Abstractpub_date
2018-11-07 00:00:00pages
255issue
12eissn
0148-5598issn
1573-689Xpii
10.1007/s10916-018-1113-4journal_volume
42pub_type
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