Literature DB >> 25571439

Empowering patients to perform physical therapy at home.

Mar Gonzalez-Franco, Scott Gilroy, John O Moore.   

Abstract

In this paper we address the problem of patient adherence to physical therapy using a sensor-enabled virtual reality gaming interface that motivates users to complete their exercises while collecting quantitative data. The system also allows the therapist to monitor and interact with patients remotely providing reinforcing feedback and support with the CollaboRhythm care delivery platform. The data collected with this system enables the therapist and the patient to make informed decisions about patient treatment and exercise regimens based on the patient progress. The system is capable of supporting a wide array of rehabilitation scenarios with remote collaboration. A knee replacement scenario was tested with an experimental protocol involving 16 healthy participants. The results show both quantitatively and qualitatively that patients can learn intuitively to perform their physical therapy exercises on a remote environment without further human intervention.

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Year:  2014        PMID: 25571439     DOI: 10.1109/EMBC.2014.6945071

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Recent Evidence About the Effectiveness of Vestibular Rehabilitation.

Authors:  Susan L Whitney; Ahmad H Alghadir; Shahnawaz Anwer
Journal:  Curr Treat Options Neurol       Date:  2016-03       Impact factor: 3.598

2.  A review of wearable motion tracking systems used in rehabilitation following hip and knee replacement.

Authors:  Shayan Bahadori; Tikki Immins; Thomas W Wainwright
Journal:  J Rehabil Assist Technol Eng       Date:  2018-06-18

3.  Rehabilitation of Total Knee Arthroplasty by Integrating Conjoint Isometric Myodynamia and Real-Time Rotation Sensing System.

Authors:  Jianzhe Luo; Yusheng Li; Miao He; Ziming Wang; Chengyu Li; Di Liu; Jie An; Wenqing Xie; Yuqiong He; Wenfeng Xiao; Zhou Li; Zhong Lin Wang; Wei Tang
Journal:  Adv Sci (Weinh)       Date:  2022-01-17       Impact factor: 16.806

4.  Development of a Portable Motor Learning Laboratory (PoMLab).

Authors:  Ken Takiyama; Masahiro Shinya
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

  4 in total

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