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An IoT-based system for the study of neuropathic pain in spinal cord injury
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7102-083X
Escuela Tecnica Superior de Ingenieria y sistemas de Telecomunicacion, Universidad Politecnica de Madrid.ORCID iD: 0000-0002-7871-6207
National Hospital for Paraplegics, Toledo. (FENNSI Group)ORCID iD: 0000-0002-2534-5369
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2023 (English)In: Pervasive Computing Technologies for Healthcare: 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceeding / [ed] Athanasios Tsanas; Andreas Triantafyllidis, Springer, 2023, p. 93-103Conference paper, Published paper (Refereed)
Abstract [en]

Neuropathic pain is a difficult condition to treat and would require reliable biomarkers to personalise and optimise treatments. To date, pain levels are mostly measured with subjective scales, but research has shown that electroencephalography (EEG) and heart rate variability (HRV) can be linked to those levels. Internet of Things technology could allow embedding EEG and HRV in easy-to-use systems that patients can use at home in their daily life. We have developed a system for home monitoring that includes a portable EEG device, a tablet application to guide patients through imaginary motor tasks while recording EEG, a wearable HRV sensor and a mobile phone app to report pain levels. We are using this system in a clinical study involving 15 spinal cord injury patients for one month. Preliminary results show that relevant data are being collected, with inter and intra-patients variability for both HRV and pain levels, and that the mobile phone app is perceived as usable, of good quality and useful. However, because of its complexity, the system requires some effort from patients, is sometimes unreliable and the collected EEG signals are not always of the desired quality.

Place, publisher, year, edition, pages
Springer, 2023. p. 93-103
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 488
Keywords [en]
IoT, EEG, HRV, Neuropathic pain, Mobile health
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-58645DOI: 10.1007/978-3-031-34586-9_7Scopus ID: 2-s2.0-85164160734ISBN: 978-3-031-34585-2 (print)ISBN: 978-3-031-34586-9 (electronic)OAI: oai:DiVA.org:mau-58645DiVA, id: diva2:1743253
Conference
16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022
Funder
EU, Horizon Europe, 101030384Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2024-02-05Bibliographically approved

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The full text will be freely available from 2024-06-11 11:20
Available from 2024-06-11 11:20

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Salvi, DarioYmeri, GentOlsson, Carl MagnusCarrasco-Lopez, Carmen

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Salvi, DarioYmeri, GentJimeno, DanielSoto-Léon, VanesaPérez Borrego, YolandaOlsson, Carl MagnusCarrasco-Lopez, Carmen
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Internet of Things and People (IOTAP)Department of Computer Science and Media Technology (DVMT)
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