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

Javier Dorado, Xavier del Toro, Maria J Santofimia, Alfonso Parreño, Ruben Cantarero, Ana Rubio and Juan C Lopez

International Journal of Distributed Sensor Networks, 2019, vol. 15, issue 9, 1550147719875649

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.

Keywords: At-home rehabilitation; Microsoft Kinect; rheumatoid arthritis; space-time interest points; three-dimensional dynamic measurement system; natural interface (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:15:y:2019:i:9:p:1550147719875649

DOI: 10.1177/1550147719875649

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