نتایج جستجو برای: surface emg signal analysis
تعداد نتایج: 3639241 فیلتر نتایج به سال:
The surface electromyographic (EMG) signal from right and left trapezius muscles and the heart rate were recorded over 24 h in 27 healthy female subjects. The root-mean-square (RMS) value of the surface EMG signals and the heartbeat interval time series were calculated with a time resolution of 0.2 s. The EMG activity during sleep showed long periods with stable mean amplitude, modulated by rhy...
Organophosphate (OP) compounds are present in household and agricultural pesticides as well as in nerve agents. The toxic effects of these chemicals result from their anticholinesterase activity, which disrupts nerve junctions and parasympathetic effector sites, leading to a variety of symptoms and possible death. When the anticholinesterase agents in OP compounds reach the neuromuscular juncti...
CONTENTS GENERAL CONCERNS ................................................................................................... 2 CHARACTERISTICS OF THE EMG SIGNAL ....................................................................... 2 CHARACTERISTICS OF THE ELECTRICAL NOISE .............................................................. 3 MAXIMIZING THE FIDELITY OF THE EMG SIGNAL .................
Recent works have demonstrated that the Independent Components (ICs) of simultaneously-recorded surface Electromyography (sEMG) recordings are more reliable in monitoring repetitive movements and better correspond with ongoing brain-wave activity than raw sEMG recordings. In this paper we propose to detect single muscle activation, when the arms reach a target, by means of ICs time-scale decomp...
Electromyography (EMG) signal is the muscle electrical activity. Electromyography is a technique for detecting and recording the electrical potential generated by muscle cells. This EMG signals are used in medical professionals to determine specific disorders. This paper basically deals with the analysis of different electromyography signals (NOR & MYO). In this paper, new method for classifica...
In this paper, we introduced a novel and simple methods of extracting the general features of the hand gestures from surface EMG signal patterns: Hand Extension (H.E), Hand Grasp(H.G),Wrist Extension(W.E),Wrist Flexion(W.F)Pinch(P),Thumb Flexion (T.F). Hand gesture EMG signal classification is demonstrated as a method for prosthesis applications. Recorded electrode signals from the Abductor Pol...
The Electromyography (EMG) is a very important biomedical signal and can be used for verity of applications in clinical or biomedical field. This signal is used to detect abnormal muscle activities like impaired nourishment of an organ or part of body, inflammation of muscles, pinched nerves and peripheral nerve damages etc. The EMG signal is controlled by nervous system and is dependent on the...
Intramuscular electromyographic (EMG) signals are detected with needles or wires inserted into muscles. With respect to non-invasive techniques, intramuscular electromyography has high selectivity for individual motor unit action potentials and is thus used to measure motor unit activity. Decomposition of intramuscular signals into individual motor unit action potentials consists in detection a...
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