The Effect of the Outsole Pattern of High-heeled Shoes on the Body Balance in Walking

• Main Authors: Lin Hsuen-Lien, 林雪蓮
• Other Authors: Tzu-lin Wong
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/44808359046263807978

碩士 === 國立臺北教育大學 === 體育學系碩士班 === 99 === ABSTRACT Purposes:This study discussed the variations and differences in kinematics, dynamics and the electromyogram (EMG) parameters of the lower extremity of females to walk on traditional heeled shoes, platform shoes and wedge shoes.. The experiment subjects are 8 healthy female adults with high heeled experience (age:21.13±3.14 years old, height:160.63±6.04cm,weight:50±8.23kg) . Methods and Process: A Mega speed 30k high-speed camera (100Hz) , an AMTI force plate (1000Hz) and four Biovision EMG system(2500Hz) are used to synchronously capture kinematical, dynamics and lower limbs EMG parameters during the subjects walking with different Outsole Pattern of high heeled in one gait cycle. Kinematical parameters are filmed through the camera, then the obtain film undergoes human limb sections of parameter organization system, Direct Linear Transformation and filter by the Kwon3D movement analysis software, in order to obtain the parameters such as gait cycle,the position of centerof bodymass, trunk forward inclination angle, hip, knee, ankle of joint angle. The original signal from the force plate, processed by DASYLab 6.0 software to low-pass filtering (10Hz) and calibrate modular, calculates the original ground reaction forece. Body weight (B.W) is used as the basis for standardization to obtain ground reaction force values and impulse values. EMG signal analysis by the Dasy Lab 6.0 software get the rectus femoris muscle, Biceps femoris long head muscle, tibialis anterior, gastrocnemius muscles of lower limbs after the original EMG, were 10-500 Hz of band-pass filtering by full-wave rectifier on the turn, 10 Hz low pass rate of wave smoothing processing, and then the integral operator , may be integral EMG amplitude (IEMG), and divided by the integral action time interval, the average EMG obtained EMG amplitude, and maximum EMG value (100%) for standardization, the experimental parameters using SPSS for Windows 12.0 package software and statistical method one-way ANOVA were used to conduct statistical analyses on the data (α =. 05). The result are : 1) the difference in time percentages of stance phase and shaking phase: the vertical displacement variation of body weight center during stance phase, the variations of the trunk front-rake displacement and the ankle joint angle were all statistically significant (p<.05); 2) the differences in brake force and thrust peak value of the vertical force: the average load rate and the pressure center offsets at the fore-and-after directions and the left-and-right directions when walking on the high-heeled shoes with different outsole patterns were all statistically significant (p<.05); 3) the average EMG amplitude of the lower extremity when walking in high-heeled shoes in different outsole patterns: during braking phase, the differences in rectus femoris, biceps flexor cruris and gastrocnemius were all statistically significant (p<.05); during thrust phase, only the difference in rectus femoris was statistically significant (p<.05). Conclusions: When selecting high-heeled shoes, users should pay attention to the outsole patterns besides the height of heels. Selecting an appropriate outsole pattern can relieve the fatigue, exercise the force of the lower extremity muscle group appropriately, and ensure the balance and stability in walking. Moreover, it will not impose burdens or create harms on the body, thus maintaining quality of life.