Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/141742| Title: | Pain management and conditioning through virtual reality and affective computing |
| Authors: | Bugeja, Andrea Dingli, Alexiei |
| Keywords: | Pain -- Treatment -- Technological innovations Artificial emotional intelligence Virtual reality in medicine Federated learning (Machine learning) Shared virtual environments -- Therapeutic use |
| Issue Date: | 2023-12 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Citation: | Bugeja, A., & Dingli, A. (2023, December). Pain management and conditioning through virtual reality and affective computing. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul. 2449-2457 |
| Abstract: | This study investigates the real-world efficacy of tailored pain management methods, focusing on Virtual Reality (VR) distraction therapy — a technique utilising immersive VR experiences to divert attention from pain. Participants undergo two phases consisting of VR therapy with simultaneous physiological data collection and the delivering of a conditioning stimulus via a smartwatch. Utilising machine learning, the VR experience is able to adapt to emotional states, ensuring that an individual’s focus is shifted away from pain. Results reveal an overall 42% pain reduction, offering insights into diverse pain interventions. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/141742 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Pain management and conditioning through virtual reality and affective computing 2023.pdf Restricted Access | 1.27 MB | Adobe PDF | View/Open Request a copy |
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