通过分形维对表面肌电信号进行识别分类。
Surface electromyogram (EMG) signals were identified by fractal dimension.
表面肌电信号分析是评价局部肌肉疲劳有效的工具。
Surface myoelectric signal analysis has been proved effective for assessing the electrical manifestations of localized muscle fatigue.
研究的目标是利用肌电信号实时控制仿生手的运动。
The objective of this study is to control humanoid robot in real-time by using EMGs.
最后，通过病人的肌电信号，得到了良好的输出结果。
At last, the well output effect was gotten by the EMG signal of patients.
自回归(AR)参数模型是传统的肌电信号时域分析方法。
Parametric Autoregressive (ar) model is the traditional time-domain EMG signal analyzing method.
目的检测肌电信号在低信噪比时运动单位动作电位的发放。
Objective to detect the onset of motor unit action potential (MUAP) when the EMG signal has poor signal to noise ratio (SNR).
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.
肌电信号的检测与分析对临床诊断以及康复医学具有重要意义。
The detection and analysis of electromyographic signal is of far reaching importance for clinical diagnosis as well as for convalescence medicine.
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。
In recent years, the analysis skill of SEMG has become a better way to evaluate the function of lumbar muscle.
研究表明，肌电信号具有正的李雅谱诺夫指数，表现出一定的混沌特征。
Positive maximum Lyapunov exponent was obtained from the signals, showing certain chaos features.
因此，本研究的目的是发现一种能够区分颈痛患者和正常人的肌电信号。
Therefore, the global objective of this study was to develop an electromyogram (EMG) signature of muscles in patients of neck pain in comparison to those of normal controls.
目的探讨推拿疗法对骨骼肌减少症患者伸膝速度和肌电信号的干预作用。
ObjectiveTo study the effects of Chinese massage on knee extension velocity and electromyogram in sarcopenia.
为了对肌电信号的特性进行更有效的分析，设计了肌电信号分析处理数据库。
Design an analyse and process database of EMG signals for carry on effective analysis to the characteristic of EMG signals.
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。
Objective:To study the characteristics of surface electromyogram(EMG) signals and to realize the quantitative analysis during muscle fatigue.
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。
Surface electromyography (SEMG) has been proved to be a successful method of non-invasive measurement of EMG.
肌电信号作为智能化假肢、康复机器人的驱动源，是目前热点研究方向之一。
EMG is one of the focus directions as the intelligentize prosthesis and driving source of the rehabilitation robot.
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）。
Electrically evoked SEMG signals which are high repeatability and little influenced by noise were adopted in the experiment.
目的通过对上肢肌群肌肉轻收缩时肌电信号的检测与分析，提供电子假肢信号源。
Objective To provide myoelectric signal of electronic artificial limb via examination and assessment of the myoelectric signals given by upper extremity muscles in light contraction.
临床评估的零肌力并不意味着该肌肉为零肌电信号，治疗后仍有功能恢复的可能。
It doesn't mean that the muscle voluntary signal is zero while the MSG is zero yet its function may be improved by treatment.
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。
Objective Using surface electromyography (SEMG) technique to evaluate repetitive lifting task induced fatigue of back muscles.
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 surface electromyogram(SEMG) signals are the time and space synthesis result of complicated muscle electricity active on the top of the skin.
判定呼吸功能的关键在于呼吸模式的建立，呼吸肌电信号具有建立呼吸模式所需的信息。
The key determinant of respiration function is based on respiration mode, whose information is provided by respiration EMG.
肌电信号的特点是强噪声背景下的生物信号，对肌电信号的检测和提取具有一定的难度。
Electromyographic signal is a kind of biological signal in the background full of noise, so it is somewhat difficult to detect and extract the electromyographic signal.
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。
How to acquire and extract surface electromyography (SEMG) expediently and effectively had been one of the key factors to apply the SEMG.
以神经束内电极作刺激电极可见该侧腓肠肌处肌肉出现收缩，同心针电极可以记录到肌电信号。
Then threaded concentric pin electrode into gastrocnemius with intrafascicular electrode as stimulating electrode, the signal was recorded.
肌电信号是在皮肤表面记录下来的神经和肌肉的系统活动时的生物电信号，有很好的临床价值。
EMG signal is an one-dimensional time series signal of neuromuscular system, which is very helpful for doctors to analysis the illness of patients.
这种方法可以用于人手动作的识别，为研究多自由度假手表面肌电信号控制方法提供了新途径。
Thus, it provides an alternative novel approach to use the surface EMG in control the multi-freedom prosthetic hand.
结果它能对四路肌电信号、一路操作控制信号进行实时、同步地采集、显示以及离线分析、处理。
Result The software is capable of making realtime acquisition and display of four channels of myoelectric potential signals and one channel of operation signal synchronously.
结果它能对四路肌电信号、一路操作控制信号进行实时、同步地采集、显示以及离线分析、处理。
Result The software is capable of making realtime acquisition and display of four channels of myoelectric potential signals and one channel of operation signal synchronously.
应用推荐