完整後設資料紀錄
DC 欄位語言
dc.contributor.authorHuang, Yao-Kuangen_US
dc.contributor.authorChang, Chang-Chengen_US
dc.contributor.authorLin, Pin-Xingen_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.date.accessioned2018-08-21T05:53:50Z-
dc.date.available2018-08-21T05:53:50Z-
dc.date.issued2018-07-01en_US
dc.identifier.issn2168-2194en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JBHI.2017.2726540en_US
dc.identifier.urihttp://hdl.handle.net/11536/145215-
dc.description.abstractDiabetes may cause different foot problems, which could easily lead to infection, ulcers, and increasing risk of amputation due to nerve or vascular injury. In order to reduce the risk of amputation, Buerger's exercise is frequently used for rehabilitation to improve the blood circulation in lower limbs. However, it is difficult to evaluate the rehabilitation efficiency with Buerger's exercise objectively. In this study, a novel non-invasively optical system is developed to non-invasively monitor the change of the foot blood circulation before and after long-term Buerger's exercise. Radial basis function neural network is also used for classifying the healthy and diabetic groups from the change of relative total hemoglobin (HbT) concentration and tissue oxygen saturation (StO2) and providing an index to evaluate the rehabilitation efficiency with Buerger's exercise. Finally, the experimental results show that the relative HbT concentration and StO2 in lower limbs corresponding to different groups are significantly different and could be used as the factors for the classification of healthy subjects and diabetic foot patients. Moreover, the tendency of the relative HbT concentration and StO2 rise after the long-term rehabilitation with Buerger's exercise.en_US
dc.language.isoen_USen_US
dc.subjectBlood circulationen_US
dc.subjectBuerger's exerciseen_US
dc.subjectdiabetesen_US
dc.subjecttissue oxygen saturationen_US
dc.subjecttotal hemoglobin concentrationen_US
dc.titleQuantitative Evaluation of Rehabilitation Effect on Peripheral Circulation of Diabetic Footen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JBHI.2017.2726540en_US
dc.identifier.journalIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICSen_US
dc.citation.volume22en_US
dc.citation.spage1019en_US
dc.citation.epage1025en_US
dc.contributor.department影像與生醫光電研究所zh_TW
dc.contributor.departmentInstitute of Imaging and Biomedical Photonicsen_US
dc.identifier.wosnumberWOS:000437306300006en_US
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