학술논문

Feasibility of a diagnostic differentiation tool for nociceptive and neuropathic pain in a neurorehabilitation population using physiological data from wearable sensors
Document Type
Conference
Source
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology Data Science and Engineering in Healthcare, Medicine and Biology, 2023 IEEE EMBS Special Topic Conference on. :45-46 Dec, 2023
Subject
Bioengineering
Sociology
Neurorehabilitation
Physiology
Reliability
Statistics
Wearable sensors
Neuropathic pain
Language
Abstract
Reliable and thorough pain assessment is essential for effective pain treatment, starting with the correct identification of the type of pain, the two most common being nociceptive and neuropathic pain. We aim to train machine learning algorithms, fed with data from wearable sensors, to be used as a diagnostic differentiation tool to distinguish between nociceptive and neuropathic pain experienced by patients undergoing neurorehabilitation.Clinical Relevance: Preliminary results here presented show the feasibility of such an approach, being a promising tool to be used in clinical practice to distinguish between the two most common types of pain.