Two screws triggered SEMG responses and were replaced.
两颗螺钉触发了SEMG反应并取出。
However the change of SEMG is correlative with the methods and of measurements and types of exercise.
但是表面肌电图变化情况与测试方法的选择和运动方式密切相关。
Surface electromyography (SEMG) has been proved to be a successful method of non-invasive measurement of EMG.
表面肌电信号（SEMG）是使用方便且无痛苦的表面电极测得的肌电信号。
In recent years, the analysis skill of SEMG has become a better way to evaluate the function of lumbar muscle.
表面肌电信号分析技术是近年来日渐完善的腰部肌肉功能评价方法。
The visual signals and ACC signals segmentations were based on sEMG active segmentation detection in the fusion process.
在融合过程中，通过肌电活动段来实现视频信号和加速计信号的分割。
Electrically evoked SEMG signals which are high repeatability and little influenced by noise were adopted in the experiment.
采用可重复性好、受噪声影响小的电刺激方式诱发表面肌电信号（SEMG）。
Objective Using surface electromyography (SEMG) technique to evaluate repetitive lifting task induced fatigue of back muscles.
目的应用表面肌电信号(SEMG)技术对重复性搬举所致的竖脊肌疲劳进行评价。
The muscle will produce tiny change of bioelectricity. The amplitude and power spectrum of SEMG will change with muscular movement.
肌肉运动时会有很小的生物电变化，表面肌电图的振幅、频谱指标均会发生相应变化。
How to acquire and extract surface electromyography (SEMG) expediently and effectively had been one of the key factors to apply the SEMG.
如何方便有效地采集提取表面肌电信号(SEMG)已成为SEMG应用的关键技术之一。
Objective To analyze the physical load characteristics of moulding workers by combining posture observation and surface electromyography(sEMG).
目的以姿势观察和表面肌电分析相结合，分析造型作业体力负荷暴露特征。
OBJECTIVE:To design a detection circuit according to the characteristics of the sEMG, which can pick-up the SEMG signals for action recognition.
目的：设计一种简单的拾取电路采集表面肌电信号，拟应用于动作肌电信号的特征识别。
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。
The Experimental result shows that the SEMG detection electrode can further improve SNR, reduce the noise and get effective surface electromyographic signal.
试验结果表明，采用该SEMG检测电极可以进一步提高信噪比，减少噪声，提取到有效的表面肌电信号。
Objective To value the application of surface electromyography(sEMG)in assessing the functional electrical stimulation(FES)used in children with spastic diplegia.
目的应用表面肌电图对脑瘫患儿电刺激前后的肌电活动进行分析。
ObjectiveTo explore the reason of imbalance for the lumbar and lower limb muscles by observing sEMG; Trying to establish a method of detecting sEMG for gastrocnemius.
目的通过表面肌电探讨腰椎间盘突出症腰部肌肉和下肢肌肉失衡的可能依据，并试图建立一种检测下肢腓肠肌表面肌电信号的实验方法。
Conclusion the simulated SEMG signal based on this method has key characters similar to those of the real SEMG, and it can be used to test the decomposition algorithms.
结论该方法模拟出的SEMG信号更能逼近真实表面肌电信号的特征，可用于验证SEMG分解算法。
The method defines the ratio of maximum energy band spectrum to total power spectrum as an eigenvalue of SEMG, which decreases the individual difference effect to the lowest.
该方法的主要特点是以实时取得的SEMG功率谱信号为基础，确定最大功率谱附近的谱能量与全信号段谱能量之比为特征值，将人的个体差异影响降低到最低程度。
The purpose of this thesis is to analyze the characteristic parameters of sEMG during muscle static and dynamic contractions, and to study sEMG characteristics of muscle fatigue.
本文旨在通过分析肌肉在静动态收缩的过程中表面肌电特征参数的变化，研究肌电信号中的疲劳特征。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Methods Static isometric loading of the biceps and low back muscle was performed in 14 subjects, using FFT power spectrum and its two dimensional mapping to analyze SEMG signals from these muscles.
方法14名受试者分别参加肱二头肌和腰部脊竖肌等长运动负荷实验，取表面肌电信号进行FF T功率谱及其功率谱二维地形图分析。
According to the chaotic characteristic of surface electromyography signal, a novel method that USES basic-scale entropy to extract feature from surface electromyography signal (SEMG) was proposed.
提出了一种基于基本尺度熵的表面肌电信号特征的提取方法。
According to the chaotic characteristic of surface electromyography signal, a novel method that USES basic-scale entropy to extract feature from surface electromyography signal (SEMG) was proposed.
提出了一种基于基本尺度熵的表面肌电信号特征的提取方法。
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