Abstract：
BACKGROUND AND OBJECTIVE:Dizziness is a major consequence of imbalance and vestibular dysfunction. Compared to surgery and drug treatments, balance training is non-invasive and more desired. However, training exercises are usually tedious and the assessment tool is insufficient to diagnose patient's severity rapidly. METHODS:An interactive virtual reality (VR) game-based rehabilitation program that adopted Cawthorne-Cooksey exercises, and a sensor-based measuring system were introduced. To verify the therapeutic effect, a clinical experiment with 48 patients and 36 normal subjects was conducted. Quantified balance indices were measured and analyzed by statistical tools and a Support Vector Machine (SVM) classifier. RESULTS:In terms of balance indices, patients who completed the training process are progressed and the difference between normal subjects and patients is obvious. CONCLUSIONS:Further analysis by SVM classifier show that the accuracy of recognizing the differences between patients and normal subject is feasible, and these results can be used to evaluate patients' severity and make rapid assessment.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Yeh SC,Huang MC,Wang PC,Fang TY,Su MC,Tsai PY,Rizzo Adoi
10.1016/j.cmpb.2014.04.014subject
Has Abstractpub_date
2014-10-01 00:00:00pages
311-8issue
3eissn
0169-2607issn
1872-7565pii
S0169-2607(14)00166-7journal_volume
116pub_type
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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