Literature DB >> 22954838

Balance recovery through virtual stepping exercises using Kinect skeleton tracking: a follow-up study with chronic stroke patients.

Roberto Lloréns1, Mariano Alcañiz, Carolina Colomer, María Dolores Navarro.   

Abstract

Stroke patients often suffer from hemiparesis, which affects their balance condition and consequently their self-dependency and quality of life. Balance rehabilitation can be a long and tedious process. Virtual rehabilitation systems have been reported to provide therapeutic benefits to the balance recovery of stroke patients while increasing their motivation. This paper presents a follow-up study involving chronic stroke patients to evaluate the clinical effectiveness of a virtual stepping exercise using skeleton tracking through a low-cost Kinect depth sensor.

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Year:  2012        PMID: 22954838

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  12 in total

1.  Using Xbox kinect motion capture technology to improve clinical rehabilitation outcomes for balance and cardiovascular health in an individual with chronic TBI.

Authors:  Shane Chanpimol; Bryant Seamon; Haniel Hernandez; Michael Harris-Love; Marc R Blackman
Journal:  Arch Physiother       Date:  2017-05-31

Review 2.  Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy.

Authors:  Els Knippenberg; Jonas Verbrugghe; Ilse Lamers; Steven Palmaers; Annick Timmermans; Annemie Spooren
Journal:  J Neuroeng Rehabil       Date:  2017-06-24       Impact factor: 4.262

Review 3.  Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review.

Authors:  Gerardo Luis Dimaguila; Kathleen Gray; Mark Merolli
Journal:  JMIR Rehabil Assist Technol       Date:  2018-05-08

4.  Comparison of neuromuscular and cardiovascular exercise intensity and enjoyment between standard of care, off-the-shelf and custom active video games for promotion of physical activity of persons post-stroke.

Authors:  Judith E Deutsch; Aurora James-Palmer; Harish Damodaran; Urska Puh
Journal:  J Neuroeng Rehabil       Date:  2021-04-14       Impact factor: 4.262

5.  A Depth Camera-Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study.

Authors:  Yangfan Xu; Meiqinzi Tong; Wai-Kit Ming; Yangyang Lin; Wangxiang Mai; Weixin Huang; Zhuoming Chen
Journal:  JMIR Serious Games       Date:  2021-03-24       Impact factor: 4.143

6.  Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.

Authors:  Janina Behrens; Caspar Pfüller; Sebastian Mansow-Model; Karen Otte; Friedemann Paul; Alexander U Brandt
Journal:  J Neuroeng Rehabil       Date:  2014-05-27       Impact factor: 4.262

Review 7.  Systematic review of Kinect applications in elderly care and stroke rehabilitation.

Authors:  David Webster; Ozkan Celik
Journal:  J Neuroeng Rehabil       Date:  2014-07-03       Impact factor: 4.262

8.  Automated assessment of upper extremity movement impairment due to stroke.

Authors:  Erienne V Olesh; Sergiy Yakovenko; Valeriya Gritsenko
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

Review 9.  A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation.

Authors:  Hossein Mousavi Hondori; Maryam Khademi
Journal:  J Med Eng       Date:  2014-12-10

10.  Flexible Virtual Reality System for Neurorehabilitation and Quality of Life Improvement.

Authors:  Iulia-Cristina Stanica; Florica Moldoveanu; Giovanni-Paul Portelli; Maria-Iuliana Dascalu; Alin Moldoveanu; Mariana Georgiana Ristea
Journal:  Sensors (Basel)       Date:  2020-10-23       Impact factor: 3.576

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