EFisioTrack: A telerehabilitation environment based on motion recognition using accelerometry

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Abstract

The growing demand for physical rehabilitation processes can result in the rising of costs and waiting lists, becoming a threat to healthcare services' sustainability. Telerehabilitation solutions can help in this issue by discharging patients from points of care while improving their adherence to treatment. Sensing devices are used to collect data so that the physiotherapists can monitor and evaluate the patients' activity in the scheduled sessions. This paper presents a software platform that aims to meet the needs of the rehabilitation experts and the patients along a physical rehabilitation plan, allowing its use in outpatient scenarios. It is meant to be low-cost and easy-to-use, improving patients and experts experience. We show the satisfactory results already obtained from its use, in terms of the accuracy evaluating the exercises, and the degree of users' acceptance. We conclude that this platform is suitable and technically feasible to carry out rehabilitation plans outside the point of care. © 2014 Daniel Ruiz-Fernandez et al.

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APA

Ruiz-Fernandez, D., Marín-Alonso, O., Soriano-Paya, A., & García-Pérez, J. D. (2014). EFisioTrack: A telerehabilitation environment based on motion recognition using accelerometry. The Scientific World Journal, 2014. https://doi.org/10.1155/2014/495391

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