Abstract
Clinical patient evaluations are important in determining motor performance. Commonly, these evaluations are performed by physiotherapists and include the pain assessment, range of motion, muscle strength and functionality. Recent studies have shown to be effective in quantifying the patients and the healthy subjects’ motor performance. Several telerehabilitation assessments may be conducted with or without devices in order to aid in diagnosis, to determine treatment goals and to evaluate treatment outcomes. On the other hand, the clinical assessment is thought to be highly variable affecting the reliability. This work presents several reflections about the differences between the assessments performed by physiotherapists and the evaluation carried out by a web-based telerehabilitation platform. We analyze the human factors that could have affected the assessments performed by physiotherapists.
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The work is supported by Universidad de Las Américas (UDLA) under Grant No.: SIS.JPM.18.01.
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Esparza Y, W., Aladro-Gonzalvo, A., Pérez-Medina, JL., Jimenes, K.B., Baldeon, J. (2020). Detecting Human Factors that Induce Errors in Movement Patterns for the Development of a Web-Based Telerehabilitation Platform. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2019. Advances in Intelligent Systems and Computing, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-20040-4_15
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