@inbook{acd952161b6e40099ebd84c6bfbbf4dc,
title = "Multimodal signal acquisition for pain assessment in physiotherapy",
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.",
keywords = "Manual therapy, Pain assessment, Pain in physiotherapy, Pain monitoring, Physiotherapy",
author = "Aleksandra Badura and Maria Bie{\'n}kowska and Aleksandra Mas{\l}owska and Robert Czarlewski and Andrzej My{\'s}liwiec and Ewa Pietka",
note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.",
year = "2021",
doi = "10.1007/978-3-030-49666-1\_18",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "227--237",
booktitle = "Advances in Intelligent Systems and Computing",
address = "Germany",
}