This paper is in the following e-collection/theme issue:

Robots in Healthcare (100) Robotics in Rehabilitation (46) Technology in Physiotherapy (154) Telerehabilitation (183)

Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12708, first published .
The Role of Social Interactions in Motor Performance: Feasibility Study Toward Enhanced Motivation in Telerehabilitation

The Role of Social Interactions in Motor Performance: Feasibility Study Toward Enhanced Motivation in Telerehabilitation

The Role of Social Interactions in Motor Performance: Feasibility Study Toward Enhanced Motivation in Telerehabilitation

Authors of this article:

Roni Barak Ventura1 Author Orcid Image ;   Shinnosuke Nakayama1 Author Orcid Image ;   Preeti Raghavan2 Author Orcid Image ;   Oded Nov3 Author Orcid Image ;   Maurizio Porfiri1, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. Wang C, Han L, Stein G, Day S, Bien-Gund C, Mathews A, Ong J, Zhao P, Wei S, Walker J, Chou R, Lee A, Chen A, Bayus B, Tucker J. Crowdsourcing in health and medical research: a systematic review. Infectious Diseases of Poverty 2020;9(1) View
  2. Nuara A, Fabbri-Destro M, Scalona E, Lenzi S, Rizzolatti G, Avanzini P. Telerehabilitation in response to constrained physical distance: an opportunity to rethink neurorehabilitative routines. Journal of Neurology 2022;269(2):627 View
  3. Amorim P, Paulo J, Silva P, Peixoto P, Castelo-Branco M, Martins H. Machine Learning Applied to Low Back Pain Rehabilitation – A Systematic Review. International Journal of Digital Health 2021;1(1):10 View
  4. Jayasree-Krishnan V, Ghosh S, Palumbo A, Kapila V, Raghavan P. Developing a Framework for Designing and Deploying Technology-Assisted Rehabilitation After Stroke. American Journal of Physical Medicine & Rehabilitation 2021;100(8):774 View
  5. Barak Ventura R, Stewart Hughes K, Nov O, Raghavan P, Ruiz Marín M, Porfiri M. Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science. JMIR Serious Games 2022;10(1):e27597 View
  6. Küçüktabak E, Kim S, Wen Y, Lynch K, Pons J. Human-machine-human interaction in motor control and rehabilitation: a review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  7. Segundo Díaz R, Rovelo Ruiz G, Bouzouita M, Coninx K. Building blocks for creating enjoyable games—A systematic literature review. International Journal of Human-Computer Studies 2022;159:102758 View
  8. Barak-Ventura R, Ruiz-Marin M, Nov O, Raghavan P, Porfiri M. A Low-Cost Telerehabilitation Paradigm for Bimanual Training. IEEE/ASME Transactions on Mechatronics 2022;27(1):395 View
  9. Zhou S, Zhang J, Chen F, Wong T, Ng S, Li Z, Zhou Y, Zhang S, Guo S, Hu X. Automatic theranostics for long-term neurorehabilitation after stroke. Frontiers in Aging Neuroscience 2023;15 View
  10. Schmidt D, Fritsch J, Feil K, Weyland S, Rittmann L, Jekauc D. Impact of digital and conventional rehabilitation aftercare on physical and mental health in orthopedic patients in Germany. Frontiers in Public Health 2024;12 View

Conference Proceedings

  1. Barak Ventura R, Catalano A, Succar R, Porfiri M, Oh I, Yeo W, Porfiri M, Kim S. Soft Mechatronics and Wearable Systems. Automating the assessment of wrist motion in telerehabilitation with haptic devices View