Literature DB >> 21096856

Gesture therapy: a vision-based system for upper extremity stroke rehabilitation.

L Sucar1, Roger Luis, Ron Leder, Jorge Hernandez, Israel Sanchez.   

Abstract

Stroke is the main cause of motor and cognitive disabilities requiring therapy in the world. Therefor it is important to develop rehabilitation technology that allows individuals who had suffered a stroke to practice intensive movement training without the expense of an always-present therapist. We have developed a low-cost vision-based system that allows stroke survivors to practice arm movement exercises at home or at the clinic, with periodic interactions with a therapist. The system integrates a virtual environment for facilitating repetitive movement training, with computer vision algorithms that track the hand of a patient, using an inexpensive camera and a personal computer. This system, called Gesture Therapy, includes a gripper with a pressure sensor to include hand and finger rehabilitation; and it tracks the head of the patient to detect and avoid trunk compensation. It has been evaluated in a controlled clinical trial at the National Institute for Neurology and Neurosurgery in Mexico City, comparing it with conventional occupational therapy. In this paper we describe the latest version of the Gesture Therapy System and summarize the results of the clinical trail.

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Year:  2010        PMID: 21096856     DOI: 10.1109/IEMBS.2010.5627458

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  8 in total

1.  On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders.

Authors:  Alberto L Morán; Cristina Ramírez-Fernández; Victoria Meza-Kubo; Felipe Orihuela-Espina; Eloísa García-Canseco; Ana I Grimaldo; Enrique Sucar
Journal:  J Med Syst       Date:  2015-08-12       Impact factor: 4.460

2.  Autonomous modeling of repetitive movement for rehabilitation exercise monitoring.

Authors:  Prayook Jatesiktat; Guan Ming Lim; Christopher Wee Keong Kuah; Dollaporn Anopas; Wei Tech Ang
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-03       Impact factor: 3.298

Review 3.  Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.

Authors:  Xiaoyi Wang; Yan Fu; Bing Ye; Jessica Babineau; Yong Ding; Alex Mihailidis
Journal:  J Med Internet Res       Date:  2022-06-13       Impact factor: 7.076

Review 4.  A review of computational approaches for evaluation of rehabilitation exercises.

Authors:  Yalin Liao; Aleksandar Vakanski; Min Xian; David Paul; Russell Baker
Journal:  Comput Biol Med       Date:  2020-03-04       Impact factor: 4.589

5.  Depth camera-based 3D hand gesture controls with immersive tactile feedback for natural mid-air gesture interactions.

Authors:  Kwangtaek Kim; Joongrock Kim; Jaesung Choi; Junghyun Kim; Sangyoun Lee
Journal:  Sensors (Basel)       Date:  2015-01-08       Impact factor: 3.576

Review 6.  What is the evidence for physical therapy poststroke? A systematic review and meta-analysis.

Authors:  Janne Marieke Veerbeek; Erwin van Wegen; Roland van Peppen; Philip Jan van der Wees; Erik Hendriks; Marc Rietberg; Gert Kwakkel
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

Review 7.  The use and effect of video game design theory in the creation of game-based systems for upper limb stroke rehabilitation.

Authors:  N Barrett; I Swain; C Gatzidis; C Mecheraoui
Journal:  J Rehabil Assist Technol Eng       Date:  2016-05-09

8.  Telerehabilitation for upper limb disabilities: a scoping review on functions, outcomes, and evaluation methods.

Authors:  Khadijeh Moulaei; Abbas Sheikhtaheri; Mansour Shahabi Nezhad; AliAkbar Haghdoost; Mohammad Gheysari; Kambiz Bahaadinbeigy
Journal:  Arch Public Health       Date:  2022-08-23
  8 in total

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