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2007•Journal of Gansu Lianhe UniversityRequires access

The Application Study of the Surface Electromyogram in the Climbing Training

MA Chu-hong

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Abstract

The amplitude and power spectrum of EMG changes while muscle fatigue develops.It plays an important role in training to use the Surface Electromyogram predictors to evaluate the muscle function of athletes.There is few study of the Surface Electromyogram which is applied in the Climbing.By analyzing the surface electromyography(sEMG) signal of working upper-limb muscle of rock climbing athletes,the change of the Surface Electromyogram predictors during the training can be analyzed and the feasibility apply of Surface Electromyogram during the training can be discussed.

About this research paper

What this paper is about

The amplitude and power spectrum of EMG changes while muscle fatigue develops.It plays an important role in training to use the Surface Electromyogram predictors to evaluate the muscle function of athletes.There is few study of the Surface Electromyogram which is applied in the Climbing.By analyzing the surface electromyography(sEMG) signal of working upper-limb muscle of rock climbing athletes,the change of the Surface Electromyogram predictors during the training can be analyzed and the feasibility apply of Surface Electromyogram during the training can be discussed.

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Available abstract

The amplitude and power spectrum of EMG changes while muscle fatigue develops.It plays an important role in training to use the Surface Electromyogram predictors to evaluate the muscle function of athletes.There is few study of the Surface Electromyogram which is applied in the Climbing.By analyzing the surface electromyography(sEMG) signal of working upper-limb muscle of rock climbing athletes,the change of the Surface Electromyogram predictors during the training can be analyzed and the feasibility apply of Surface Electromyogram during the training can be discussed.

Key concepts: Electromyography, Climbing, Physical medicine and rehabilitation, Training (meteorology), Athletes, Muscle fatigue, Surface (topology), Computer science

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