The myoelectric activity of gastro-colon was recorded in 20 rabbits.
在20只家兔记录胃结肠肌电活动。
The conclusion is famotidine could excite antral myoelectric activity.
提示法莫替丁可兴奋胃窦肌电活动。
MAIN OUTCOME MEASURES: The functional evaluation for myoelectric hand.
主要观察指标：肌电假手功能评定结果。
OBJECTIVE: To study the effects of Ginkgo leave abstracts on gastric Myoelectric activity of rabbit.
目的：探讨银杏叶提取物对胃平滑肌电活动的影响。
The inhibition of JSL to the amplitude and frequency of gastric myoelectric activity was dose dependent.
静松灵对犬胃肌电频率和振幅的影响有剂量相关性；
The myoelectric activities of cecum and proxmal loop of colon are short cycles of migrating myoelectric complex.
盲肠和结肠初袢的电活动，均为短周期移行性综合肌电。
OBJECTIVE:To investigate the optimal method of myoelectric hand feedback training and evaluate the effect of myoelectric hand.
目的：探讨肌电手生物反馈训练的最佳方法及其效果评定。
This paper presents a method that controls the tele-manipulator by combining tactile tele-presence with myoelectric bionic control.
提出了一种结合触觉临场感和肌电仿生控制技术的遥控机械手控制方法。
Surface myoelectric signal analysis has been proved effective for assessing the electrical manifestations of localized muscle fatigue.
表面肌电信号分析是评价局部肌肉疲劳有效的工具。
Migrating Myoelectric Complex (MMC) were obtained from silver bipolar electrodes implanted in duodenum and jejunum of fasting rats respectively.
采用双极银丝电极记录清醒大鼠十二指肠和空肠上段移行性综合肌电(MMC)。
AIM: to investigate whether the bile acid pool size after cholecystectomy is correlated to the gastrointestinal migrating myoelectric complex (MMC) in guinea pigs.
目的：研究豚鼠胆囊切除术后胃肠移行性复合波(MMC)是否与胆酸池大小有关。
After exercise the gastric myoelectric activity showed biphasic changes, usually with inhibition lasting no more than 5-10 minutes before giving way to enhancement.
运动后胃电呈先抑制后增强的双相改变，但抑制时间较短，通常不超过5—10分钟。
METHOD Changes in the paravertebral myoelectric activity in 30 teenagers with specific lateral curvature were recorded before and after the electric acupuncture treatment.
方法运用针电极记录3组30例青少年特发性脊柱侧弯症治疗前后椎旁肌肌电的变化。
The results of an analytic study on the mechanism of forearm prosthesis with myoelectric control and simulated experiments on the loci of human hand movements were reported.
本文阐述肌电控制前臂假手机构分析和人手运动轨迹模拟实验研究的结果。
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。
To meet the requirement of developing myoelectric controller for a man-machine systems, a surface electromyography (EMG) detection and analysis system is discussed in this paper.
本文针对假肢等人-机仿生系统肌电控制装置的特点，研制了一种小型表面EMG测试与分析系统。
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.
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。
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。
Objective to explore the stimulative effect of automatic backslap on myoelectric activity of bedridden patients and to evaluate the effect to find out the best plan of automatic backslap.
目的探讨自动拍背对卧床者背部肌电活性的促进作用，并评估效果，探讨该法的最佳方案。
Objective to explore the stimulative effect of automatic backslap on myoelectric activity of bedridden patients and to evaluate the effect to find out the best plan of automatic backslap .
目的探讨自动拍背对卧床者背部肌电活性的促进作用，并评估效果，探讨该法的最佳方案。
In this paper, the key technology of myoelectric pattern recognition based prosthesis control strategy was studied. And a series of work was carried out around the control strategy framework.
本文对基于模式识别的肌电假肢关键技术进行深入研究，围绕肌电假肢控制方案的框架与组成部分展开一系列的工作。
The analysis of the surface myoelectric signal is a valuable and the signal is recorded while a muscle is performing a sustained contraction tool for assessing the progression of localized fatigue.
当一块肌肉完成持续的收缩时，所记录的表面肌电信号的分析是一个用于评价局部疲劳进行性的有用的工具。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。
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