نتایج جستجو برای: emg signal processing

تعداد نتایج: 820546  

Journal: :IEEE Sensors Journal 2023

The immense progress in physiological signal acquisition and processing health monitoring allowed a better understanding of patient disease detection diagnosis. With the increase data volume power consumption, effective compression, acquisition, transmission, techniques are essential, especially telemonitoring healthcare applications. An emerging research area focuses on integrating compressed ...

2013
Mukesh Patidar Nitin Jain Ashish Parikh

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...

Journal: :iranian journal of medical physics 0
seyed ali shafiei assistant professor of medical physics, school of medicine, qom university of medical sciences, qom, iran

introduction many features, emerging from mathematical techniques, have been used in the analysis of brain signals. in this study, the physical quantity of “moment of inertia” (moi) was introduced as a feature to enhance high-frequency waves (hfws) in electroencephalography (eeg). materials and methods in this research, the recorded eegs from f3, f4, and cz points in 20 males were used. a total...

Journal: :Expert Syst. Appl. 2012
Ahmet Alkan Mücahid Günay

The electromyography (EMG) signal is a bioelectrical signal variation, generated in muscles during voluntary or involuntary muscle activities. The muscle activities such as contraction or relaxation are always controlled by the nervous system. The EMG signal is a complicated biomedical signal due to anatomical/physiological properties of the muscles and its noisy environment. In this paper, a c...

2014
Marcel Henrique Trabuco Marcus Vinícius Chaffim Costa Francisco Assis de Oliveira Nascimento

BACKGROUND Surface electromyographic (S-EMG) signal processing has been emerging in the past few years due to its non-invasive assessment of muscle function and structure and because of the fast growing rate of digital technology which brings about new solutions and applications. Factors such as sampling rate, quantization word length, number of channels and experiment duration can lead to a po...

2017
Behrouz Alizadeh Savareh Ali Ghanjal Azadeh Bashiri Monireh Motaqi Boshra Hatef

INTRODUCTION Different types of headaches and TMJ click influence the masseter muscle activity. The aim of this study was to assess the trend of energy level of the electromyography (EMG) activity of the masseter muscle during open-close clench cycles in migraine without aura (MOA) and tension-type headache (TTH) with or without TMJ click. METHODS Twenty-five women with MOA and twenty four wo...

Journal: :The Journal of the Institute of Television Engineers of Japan 1994

Journal: :Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology 2010
Lev Vaisman José Zariffa Milos R Popovic

While many approaches have been proposed to identify the signal onset in EMG recordings, there is no standardized method for performing this task. Here, we propose to use a change-point detection procedure based on singular spectrum analysis to determine the onset of EMG signals. This method is suitable for automated real-time implementation, can be applied directly to the raw signal, and does ...

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