Abstract
Pain monitoring during physiotherapy is an important factor determining the course of therapy. However, current pain scales are subjective and do not feature a unified level of pain that indicates the required interruption of the therapy. Hence, in this study a multimodal platform with wearable devices for monitoring and objective assessment of pain is presented. In the case study, six patients with neck pain underwent fascial therapy with simultaneous recording of signals. For classification we used electrodermal activity, electromyography, and respiration signals. The decision relies on the occurrence of signal distortion surrounding the onset of the pain in a specified time period.
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Acknowledgements
This work was supported by The National Centre for Research and Development (grant number WPN-3/1/2019).
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Badura, A., Bieńkowska, M., Masłowska, A., Czarlewski, R., Myśliwiec, A., Pietka, E. (2021). Multimodal Signal Acquisition for Pain Assessment in Physiotherapy. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. Advances in Intelligent Systems and Computing, vol 1186. Springer, Cham. https://doi.org/10.1007/978-3-030-49666-1_18
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DOI: https://doi.org/10.1007/978-3-030-49666-1_18
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