Artificial Intelligence for Physiotherapy and Rehabilitation

Author:

Davids Joseph,Lidströmer Niklas,Ashrafian Hutan

Publisher

Springer International Publishing

Reference64 articles.

1. Wei W. Using sensors and ai to enable on-demand virtual physical therapist and balance evaluation at home. University of San Diego Thesis. 2020.

2. Hidalgo E, Castillo L, Madrid RI, García-Pérez Ó, Cabello MR, Fdez-Olivares J. ATHENA: smart process management for daily activity planning for cognitive impairment. In: Bravo J, Hervás R, Villarreal V, editors. Ambient assisted living. IWAAL 2011 Lecture Notes in Computer Science, vol. 6693. Berlin/Heidelberg: Springer; 2011.

3. Rashid F, Suriani N, Nazari A. Kinect-based physiotherapy and assessment: a comprehensive review. Indones J Electr Eng Comput Sci. 2018;11(3):1176–87.

4. Ramanandi V. Role and scope of artificial intelligence in physiotherapy a scientific review of literature. Int J Adv Sci Res. 2021;6(1):11–4.

5. Godse S, et al. Musculoskeletal physiotherapy using artificial intelligence and machine learning. Int J Innov Sci Res Technol. 2019;4:11.

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