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The present work investigated the behavior of conduction velocity of muscle fiber action potential of the vastus lateralis muscle through the acquisition of surface electromyographic signals during the knee isokinetic extension movement. Nine healthy male subjects performed three sets of ten maximal concentric knee extensions at 60o/s with a rest interval of one minute between the sets. The linear...
Analysis of muscle activity by electrophysiological techniques is commonly used to analyze biomechanics. Although the simultaneous and intuitive understanding of both muscle activity and body motion is important in various fields, it is difficult to realize. This paper proposes a novel technique for visualizing physiological signals related to muscle activity by means of surface electromyography....
The architecture of human motion information acquisition system based on surface electromyography (EMG) was described. Motion information is one of the most important techniques in the intelligent assistant production design, and it is a basis for the assistant system to supply appropriate and necessary actions. Thinking of the characteristics of daily tasks, this system adopted surface EMG as signal...
Human motion and its intention sensing from noninvasive biosignals is one of the significant issues in the field of physical human-machine interactions (pHMI). This paper presents a real-time upper limb motion prediction method using surface electromyography (sEMG) signals for pHMI. The sEMG signals from 5 channels were collected and used to predict the motion by an artificial neural network (ANN)...
By studying surface electromyography(sEMG) characteristics of human neck, shoulder and back muscles keeping static posture, to explore the precise evaluation index for muscle function of the human body, and the significance of muscle function prediction, diagnosis and rehabilitation evaluation. Method: 9 experiment objects, the sEMG signals of five muscles (neck extensor, upper trapezius, the middle...
The recorded motion from (pathological) tremor patient may consist of the involuntary tremulous component and the intended motion. These two components have to be separated so that the actuation part will be able to suppress only the tremor. This paper proposes an algorithm to remove the intended motion by using an extended Kalman filter with the help of adaptive high-pass filter. The effectiveness...
With the goal of developing human-like dextrous manipulation, we investigate how the central nervous system uses the redundant control space of the human hand to perform tasks with force-stiffness requirements. Specifically, while the human hand is actuated by several muscles with varying mechanical advantage (called the moment arm), it is unclear how each muscle is used. Using the anatomically correct...
Collision avoidance has been a significant issue to guarantee human's safety in the robot workspace. This paper presents real-time motion intention estimation based collision avoidance method using surface electromyography (sEMG). An ANN algorithm was used to estimate the upper limb motions of a subject from sEMG signals on five muscles, and the robot was controlled to keep the safety distance from...
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