Multi-Scale Entropy in Gait Stability during Walking

• Main Authors: Chao-Ping , Chi, 姬兆平
• Other Authors: Kuo-Wei , Tseng
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/94165457257116181155

碩士 === 臺北市立體育學院 === 體育與健康學系碩士班 === 100 === The purpose of this study was to analysis the multi-scale entropy (MSE) of stride interval series in normal gait group and two unsteady gait patterns included close eyes and dizziness in health subjects. Methods: The subjects in this study were 27 volunteer college students. Each subject performed the walking in normal gait pattern with open eyes (OE), disturbed gait pattern with close eyes (CE) and dizziness (DZ). Wireless DAQ for biomedical signal (TD3) were applied on their ASIS for recording the acceleration and electromyographic signals during walking. Data calculated by self-made program with Matlab and calculated by Visual Signal Ver. 1.3. Results: The gait cycle in DZ group was significantly lower than in OE and CE groups; there was no significant difference between OE and CE groups. The entropy values in OE and CE groups decreased as the scale increase; the value in DZ group was increasing when the scale factor was larger than 13. The entropy value, in OE group was lower than in CE and DZ groups at larger scales (scale>16), and in CE group was larger than in OE group at middle scales (scale=8~12). Conclusion: The shorter gait cycle benefits the dynamic stability in the during walking. Higher entropy value presents the more complicated control mechanism in gait cycle induced by the musculoskeletal stimulation when the normal walking is disturbed. Also, the study proves that MSE is able to analysis the motor control in the nonlinear system.