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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Neves, E. B. Pino, A.V. Almeida, R. M. V. R. Souza, M. N. |
| Copyright Year | 2008 |
| Description | Author affiliation: Biomedical Engineering Program - COPPE at Federal University of Rio de Janeiro, Centro de Tecnologia, Bloco H, sala 327, Brazil, P.O. Box 68510, Postal Code 21945-970 (Neves, E. B.; Pino, A.V.; Almeida, R. M. V. R.; Souza, M. N.) |
| Abstract | The aim of the present study was to derive an objective and noninvasive assessment of osteoarthritis of the knee joint by bioimpedance spectrocopy (BIS). The study was performed in Brazilian Military Parachuters and intends to contribute to the improvement of the early diagnosis of joint degeneration. Twelve male volunteers (24 knee joints) participated in the study. A novel index (ID) to assess the disease was proposed from the raw bioimpedance parameter. This index was compared with a subjective rating (Dejour scale) performed by 3 therapists. The results indicated that the values of ID were significantly different (p<0.001) between the control group (class 1 of Dejour) and the pathological group (class 2 or higher). A Spearman correlation of −0.81 between the values of ID and the therapists rating was detected. Despite the need of increasing the sample size, the novel technique seems to be capable of supplying an objective and non-invasive tool for helping the diagnosis of the knee osteoarthritis. |
| Starting Page | 5620 |
| Ending Page | 5623 |
| File Size | 147645 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424418145 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2008.4650488 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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