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| Detection and Assessment of Body Balance Function Based on Static Posturography |
| Institute of Intelligent Control and Robotics, Hangzhou Dianzi University, Hangzhou 310018, China |
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Abstract In this paper, a new method is proposed aiming to effectively detect and assess the balance dysfunction of elderly and hemiplegic patients. First, five indicators were selected under conditions of eye open or eye closed for quantitative detection of the balance function, including track length of center of gravity, track length per unit area, kurtosis, distribution ratio of center of gravity between left and right, distribution ratio of center of gravity between front and rear. Then the indicators were fused together using principal component analysis (PCA). Next, weights of principal component factors were determined by their variance contribution rate. Finally, the balance function assessment of subjects was completed by computing a comprehensive evaluation based on PCA. Thirty subjects with balance dysfunction (case group) and thirty sex-, age-, height and weightmatched healthy subjects (control group) were recruited in the experiment. Their balance function were detected and assessed twice within two weeks using an independently research system. The statistical value of comprehensive evaluation index is 4.067±0.540
(n=30,mean±SD) in the control group, while it is 2.054±0.685 (n=30,mean±SD) in the case group. Results show that the method for balance function detection and assessment is reasonable and practical.
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