Literature DB >> 23366134

A feasibility study of an upper limb rehabilitation system using Kinect and computer games.

Isaac Pastor1, Heather A Hayes, Stacy J M Bamberg.   

Abstract

A new low-cost system for rehabilitation of the impaired upper limb for stroke survivors is presented. A computer game was developed specifically for this purpose and the user's impaired upper extremity is tracked using a downward-pointed Kinect, an inexpensive motion capture system commercially available from Microsoft. A Kalman filter was implemented to reduce data jittering. Patients are required to move their impaired arm, sliding it on top of a transparent support, in order to play the game. The game is personalized to the patient through specific settings that adapt to the patient's range of motion and motor control at the start of the game as well as performance during the game. The final score is proportional to the arm's movement speed. A feasibility study was carried out with one stroke survivor. The game was played for ten days and usability surveys were answered before and after the study. The patient was engaged with the game, found it easy to understand and reported willingness to use it in the home environment and enjoyment of the use in the clinic.

Entities:  

Mesh:

Year:  2012        PMID: 23366134     DOI: 10.1109/EMBC.2012.6346173

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


  20 in total

1.  Considerations in the efficacy and effectiveness of virtual reality interventions for stroke rehabilitation: moving the field forward.

Authors:  Rachel Proffitt; Belinda Lange
Journal:  Phys Ther       Date:  2014-10-24

2.  Kinect-based rehabilitation system for patients with traumatic brain injury.

Authors:  Janani Venugopalan; Chihwen Cheng; Todd H Stokes; May D Wang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

3.  MotionTalk: Personalized home rehabilitation system for assisting patients with impaired mobility.

Authors:  Janani Venugopalan; Chih-Wen Cheng; May D Wang
Journal:  ACM BCB       Date:  2014

4.  Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

Authors:  Lin Wei; Cheng-Shiu Chung; Alicia M Koontz
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

5.  Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation.

Authors:  Si-Huei Lee; Shih-Ching Yeh; Rai-Chi Chan; Shuya Chen; Geng Yang; Li-Rong Zheng
Journal:  Biomed Res Int       Date:  2016-08-23       Impact factor: 3.411

6.  A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study.

Authors:  Paul Otten; Jonghyun Kim; Sang Hyuk Son
Journal:  Sensors (Basel)       Date:  2015-08-14       Impact factor: 3.576

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.  Kinect-Based Virtual Game for the Elderly that Detects Incorrect Body Postures in Real Time.

Authors:  Zelai Saenz-de-Urturi; Begonya Garcia-Zapirain Soto
Journal:  Sensors (Basel)       Date:  2016-05-16       Impact factor: 3.576

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