Feasibility of a diagnostic differentiation tool for nociceptive and neuropathic pain in a neurorehabilitation population using physiological data from wearable sensors

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.