Feasibility of a diagnostic differentiation tool for nociceptive and neuropathic pain in a neurorehabilitation population using physiological data from wearable sensors-Reference-Cited by-同舟云学术

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

Published:2023-12-07 Issue: Volume: Page:45-46
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Container-title:2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
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Author:

Moscato S.¹,Orlandi S.¹,Battaglia G.¹,Di Gregorio F.²,Lullini G.³,Pozzi S.³,Sabattini L.³,Chiari L.¹,La Porta F.³

Affiliation:

1. University of Bologna,Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” – DEI,Italy

2. Azienda Unità Sanitaria Locale,UOC Medicina Riabilitativa e Neuroriabilitazione,Bologna,Italy

3. IRCCS Istituto delle Scienze Neurologiche di Bologna,Bologna,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404092/10404107/10404975.pdf?arnumber=10404975

Reference9 articles.

1. Frequency and nature of pain in patients undergoing neurorehabilitation

2. Neurology

3. Multimodal Signal Analysis for Pain Recognition in Physiotherapy Using Wavelet Scattering Transform

4. Feasibility interventional study investigating PAIN in neurorehabilitation through wearabLE SensorS (PAINLESS): a study protocol

5. Artifact Detection of Wrist Photoplethysmograph Signals

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