Surface electromyogram (EMG) signals were identified by fractal dimension.
通过分形维对表面肌电信号进行识别分类。
Objective:To study the characteristics of surface electromyogram(EMG) signals and to realize the quantitative analysis during muscle fatigue.
目的：研究肌肉疲劳过程中表面肌电信号的特征，实现疲劳状态的定量描述。
The surface electromyogram(SEMG) signals are the time and space synthesis result of complicated muscle electricity active on the top of the skin.
表面肌电信号是一种复杂的表皮下肌肉活动在皮肤表面处的时间和空间上的综合结果。
Conclusion Surface electromyogram biofeedback stimulation training can facilitate to provide satisfactory rehabilitation effects for lower limb function of hemiplegic stroke patients.
结论表面肌电生物反馈治疗对脑卒中偏瘫患者下肢运动功能的恢复有明显的促进作用。
Methods Patients' back broadest muscle as the representative field of back's myoelectric activity, the integral of its surface electromyogram was measured to be the physiological index.
方法以背阔肌为背部肌电活性状况的代表区域，测量其体表肌电图的积分值作为评估的生理指标。
Methods Patients' back broadest muscle as the representative field of back's myoelectric activity, the integral of its surface electromyogram was measured to be the physiological index.
方法以背阔肌为背部肌电活性状况的代表区域，测量其体表肌电图的积分值作为评估的生理指标。
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