NDLI: Reliability of phantom pain relief in neurorehabilitation using a multimodal virtual reality system

Content Provider	IEEE Xplore Digital Library
Author	Sano, Y. Ichinose, A. Wake, N. Osumi, M. Sumitani, M. Kumagaya, S.-I. Kuniyoshi, Y.
Copyright Year	2015
Description	Author affiliation: Anesthesiology & Pain Relief Center, Univ. of Tokyo Hosp., Tokyo, Japan (Sumitani, M.) \|\| Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan (Sano, Y.; Ichinose, A.; Wake, N.; Kuniyoshi, Y.) \|\| Neurorehabilitation Res. Center, Kio Univ., Nara, Japan (Osumi, M.) \|\| Res. Center for Adv. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan (Kumagaya, S.-I.)
Abstract	The objective of this study is to demonstrate the reliability of relief from phantom limb pain in neurore-habilitation using a multimodal virtual reality system. We have developed a virtual reality rehabilitation system with multimodal sensory feedback and applied it to six patients with brachial plexus avulsion or arm amputation. In an experiment, patients executed a reaching task using a virtual phantom limb displayed in a three-dimensional computer graphic environment manipulated by their real intact limb. The intensity of the phantom limb pain was evaluated through a short-form McGill pain questionnaire. The experiments were conducted twice on different days at more than four-week intervals for each patient. The reliability of our task's ability to relieve pain was demonstrated by the test-retest method, which checks the degree of the relative similarity between the pain reduction rates in two experiments using Fisher's intraclass correlation coefficient (ICC). The ICC was 0.737, indicating sufficient reproducibility of our task. The average of the reduction rates across participants was 50.2%, and it was significantly different from 0 (p <; 0:001). Overall, our findings indicate that neurorehabilitation using our multimodal virtual reality system reduces the phantom limb pain with sufficient reliability.
Starting Page	2482
Ending Page	2485
File Size	1141069
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318897
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pain Phantoms Virtual reality Medical treatment Visualization Reliability Mirrors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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