Literature DB >> 23366697

Motivating arm-hand use for stroke patients by serious games.

Frank Delbressine1, Annick Timmermans, Luuk Beursgens, Maaike de Jong, Alexander van Dam, David Verweij, Maikel Janssen, Panos Markopoulos.   

Abstract

We present a novel technology to support playful rehabilitation of arm-hand performance for stroke survivors. The system combines tangible tabletop interaction with wearable technology, to encourage stroke patients to train their arm-hand skills in a task-oriented manner, while a jacket supporting tilt-sensing and vibrotactile feedback guides patients regarding the correct execution of exercises and specifically to avoid compensatory movements. We present the iterative client centered development of this technology and its on going development.

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Year:  2012        PMID： 23366697     DOI： 10.1109/EMBC.2012.6346736

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


  9 in total

1.  Stroke Patients' Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation.

Authors:  Qi Wang; Annick Timmermans; Wei Chen; Jie Jia; Li Ding; Li Xiong; Jifeng Rong; Panos Markopoulos
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-18       Impact factor: 3.316

2.  Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke.

Authors:  Xinyu Song; Shirdi Shankara van de Ven; Shugeng Chen; Peiqi Kang; Qinghua Gao; Jie Jia; Peter B Shull
Journal:  Front Physiol       Date:  2022-06-03       Impact factor: 4.755

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

4.  Segmentation of shoulder rehabilitation exercises for single and multiple inertial sensor systems.

Authors:  Louise Brennan; Antonio Bevilacqua; Tahar Kechadi; Brian Caulfield
Journal:  J Rehabil Assist Technol Eng       Date:  2020-08-20

5.  Effects of task-oriented robot training on arm function, activity, and quality of life in chronic stroke patients: a randomized controlled trial.

Authors:  Annick A A Timmermans; Ryanne J M Lemmens; Maurice Monfrance; Richard P J Geers; Wilbert Bakx; Rob J E M Smeets; Henk A M Seelen
Journal:  J Neuroeng Rehabil       Date:  2014-03-31       Impact factor: 4.262

Review 6.  Interactive wearable systems for upper body rehabilitation: a systematic review.

Authors:  Qi Wang; Panos Markopoulos; Bin Yu; Wei Chen; Annick Timmermans
Journal:  J Neuroeng Rehabil       Date:  2017-03-11       Impact factor: 4.262

7.  A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients.

Authors:  Daniela Lo Presti; Martina Zaltieri; Marco Bravi; Michelangelo Morrone; Michele Arturo Caponero; Emiliano Schena; Silvia Sterzi; Carlo Massaroni
Journal:  Sensors (Basel)       Date:  2022-02-11       Impact factor: 3.576

8.  Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients' Rehabilitation: Systematic Review.

Authors:  Omar Mubin; Fady Alnajjar; Nalini Jishtu; Belal Alsinglawi; Abdullah Al Mahmud
Journal:  JMIR Rehabil Assist Technol       Date:  2019-09-08

Review 9.  Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review.

Authors:  Louise Brennan; Enrique Dorronzoro Zubiete; Brian Caulfield
Journal:  Sensors (Basel)       Date:  2019-12-28       Impact factor: 3.576
  9 in total

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