A computer-vision-based system for at-home rheumatoid arthritis rehabilitation

Author:

Dorado Javier1,del Toro Xavier1,Santofimia Maria J1ORCID,Parreño Alfonso2,Cantarero Ruben1,Rubio Ana1,Lopez Juan C1

Affiliation:

1. Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

2. Science and Technology Park of Castilla-La Mancha, University of Castilla-La Mancha, Albacete, Spain

Abstract

People suffering from rheumatoid arthritis are normally prescribed with physical exercises. The realization of these exercise routines should be supervised to prevent wrongly adopted postures or bad movements that end up harming the affected articulations. The motivational component associated with a supervised session is also important. On the contrary, having access to qualified supervision is not always possible due to different reasons, such as tight schedules, limited mobility, or economic reasons. This article presents a system for at-home rehabilitation, based on Microsoft Kinect, that resembles the role played by the physiotherapist during the supervision of an exercise session. The system not only supervises the realization of exercises but it also collects and manages information about the exercise-session history. Additionally, and despite affecting young people, rheumatoid arthritis is a disease that mainly affects seniors. For this reason, the system provides a natural interface to ease the interaction. Finally, the performance of the proposed system has been evaluated using a three-dimensional dynamic measurement system as a gold standard to validate the accuracy of the measurements. Obtained results demonstrate the potential of the Kinect-based system for at-home rehabilitation exercise routines.

Funder

Ministerio de Ciencia e Innovación

Spanish Ministry of Economy and Competitiveness

Regional government of castilla-la mancha

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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1. Desenvolvimento de um Sistema de Monitoramento de Exercícios Fisioterápicos com Auto-Encoder LSTM;Anais do XVI Simpósio Brasileiro de Computação Ubíqua e Pervasiva (SBCUP 2024);2024-07-21

2. Automated Evaluation System for Pull-Up Exercises in Physical Fitness Testing Scenarios;2023 3rd International Conference on Information Technology and Contemporary Sports (TCS);2023-12-22

3. A Video Analysis System Using K-Nearest Neighbour Algorithm for Error Detection in Squat Form;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

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5. A meta-analysis and systematic literature review of mixed reality rehabilitation programs: Investigating design characteristics of augmented reality and augmented virtuality;Computers in Human Behavior;2022-05

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