EMG in People with Different Heel Height Condition

Abstract

It has been reported that a prevalence proportion of foot problems in women were associated with wearing high-heeled shoes [1]. Women’s walking pattern and the biomechanical behavior of the foot could be altered significantly by raising the heel height [2, 3]. Biomechanical studies showed that walking in high-heeled shoes may alter lowerextremity joint function [4], raise the peak pressure in the forefoot [5], and alter the load distribution on the media foot region [6]. Some of these biomechanical changes can be detrimental to the foot structure, such as increasing the metabolic cost of gait, accelerate on of muscle fatigue [7], high inner stress level of metatarsal bones [8]. In Latin dancing, partners perform tightly choreographed routines in which they must project energy and passion. The pair's appearance, including costuming and shoes, is important to the success of the routine. A detailed biomechanical study of different types of human movement such as walking, dancing, etc. would help to improve the understanding of the biomechanics and provide important data for design optimization to reduce the adverse effects associated with high heeled shoes. The detailed diagnosis and correction of pathologic states of human mobility is mainly limited by an incomplete knowledge of the musculoskeletal system and the detailed and quantitative description of the activity of the individual muscles in the synergistic patterns which combine to produce different human movement. Commonly used techniques which employ myolectric, force plate and kinematic gait pattern acquisition only provide a representation of the external manifestations of the underlying muscle physiology. At present, there is no exist research equipment to study the actions of the involved muscles non-invasively. A model of the musculoskeletal system could, in principle, given kinematic data and with assumptions to mitigate muscle redundancy, predict individual muscle behavior. Surface electromyography (SEMG), has been used in both research and clinical applications for non-invasive neuromuscular assessment in several different fields such as sport science, neurophysiology and rehabilitation. Different variables, related to different aims, can be monitored: muscle activation intervals are useful to evaluate motor coordination and treatment efficacy [9]; myoelectrical manifestations of fatigue [10] can be used to assess EMG signal