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surface electromyography (sEMG)

Surface electromyography pattern of human swallowing

Surface electromyography pattern of human swallowing

... In dental research and in orthodontics it has been accepted for long time that saliva swallowing could be divided into two groups: Typical and Atypical swallowing. Deglutition without occlusal contact is one of the ...

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Prosthetic hand control using wearable 
		gesture armband based on surface electromyography

Prosthetic hand control using wearable gesture armband based on surface electromyography

... Surface electromyography is a technology that provides detection of electrical activity produced by the physiological contractions of muscles; the sEMG is widely applied in medical assistive applications ...

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Muscle modifications in fibromyalgic patients revealed by surface electromyography (SEMG) analysis

Muscle modifications in fibromyalgic patients revealed by surface electromyography (SEMG) analysis

... Surface Electromyography (SEMG) is a non-invasive tech- nique which can provide useful information regarding a muscle's functional status. The use of SEMG has become widespread because of its non-invasive ...

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Chaos, Fractal and Recurrence Quantification Analysis of Surface Electromyography in Muscular Dystrophy

Chaos, Fractal and Recurrence Quantification Analysis of Surface Electromyography in Muscular Dystrophy

... Let us attempt to give a detailed answer. Surface electromyography has been considered for years an electro- physiological signal having noise as basic components. Also according to some previous results ...

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Feature extraction of muscle fatigue using surface electromyography (SEMG) technique

Feature extraction of muscle fatigue using surface electromyography (SEMG) technique

... The first objective of this research is to extract features of muscle fatigue using time domain, frequency domain and time-frequency domain. All the features extracted are analysed in Root Mean Square (RMS), Median ...

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Surface Electromyography Feature Extraction Based on Wavelet Transform

Surface Electromyography Feature Extraction Based on Wavelet Transform

... Electromyography (EMG) is a collective electrical signal acquired from muscles and includes valuable information about muscular contraction. The muscle activity is controlled by the nervous system which forms ...

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Flexible Neural Trees for Online Hand Gesture Recognition using Surface Electromyography

Flexible Neural Trees for Online Hand Gesture Recognition using Surface Electromyography

... recognition signals, the recognition methods of the sign language are mainly divided into hand gesture signals, visual hand gesture images and surface Electromyography (sEMG) signals. In 2008, Ganesh N. ...

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Surface Electromyography (SEMG) Based Fuzzy Logic Controller for Footballer based Actions Classification

Surface Electromyography (SEMG) Based Fuzzy Logic Controller for Footballer based Actions Classification

... technique. Surface electromyography signals (SEMG) were separated utilizing equipment comprising of differential speaker, non inverting enhancer, band pass channel and interface ...

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Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

Vision-driven collaborative robotic grasping system tele-operated by surface electromyography

... and surface electromyography techniques to carry out grasping ...using surface electromyographic signals from the forearm during wrist flexion and ...

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detection of onset muscle fatigue based on joint analysis of surface electromyography spectrum and amplitude

detection of onset muscle fatigue based on joint analysis of surface electromyography spectrum and amplitude

... of Surface Electromyography Spectrum and Amplitude (JASA) is a method that is used to discriminate force-related from fatigue induced EMG changes (Luttmann, Jäger, and Laurig, ...

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Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing

Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing

... In our proposed model, Auto-Encoder is a feed-forward neural network that is used in feature learning. The implemented neural network is being trained to learn features and produce it as its output rather than generating ...

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Central motor control failure in fibromyalgia: a surface electromyography study

Central motor control failure in fibromyalgia: a surface electromyography study

... = surface electromyography; MVC = maxi- mal voluntary contraction; MNF = mean power frequency of the spectrum; CV = conduction velocity; MPQ-SF = McGill Pain Questionnaire Short Form; FFS = Fibrofatigue ...

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Analysis of Surface Electromyography Signals in Transtibial Amputees in Fatigue and Non Fatigue Conditions

Analysis of Surface Electromyography Signals in Transtibial Amputees in Fatigue and Non Fatigue Conditions

... Method and Materials: Eight subjects with unilateral transtibial amputation participated in this study and surface Electromyogram (sEMG) signals were recorded from rectus femoris muscle using standard experimental ...

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Comparison of regression models for estimation of isometric wrist joint torques using surface electromyography

Comparison of regression models for estimation of isometric wrist joint torques using surface electromyography

... by surface electrodes, each SEMG channel was assumed to repre- sent intermediate and deep muscles in its proximity in addition to the surface muscle it was recording ...

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Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps

Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps

... adjacent electrodes during swallowing tasks, a certain distance should be kept between neighboring electrodes. Correspondingly, the 96-channel electrode array structured in a 6 × 16 grid equally spaced with an interval ...

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Standardization of surface electromyography utilized to evaluate patients with dysphagia

Standardization of surface electromyography utilized to evaluate patients with dysphagia

... nents that have a direct relationship to clinical symptoms (muscle weakness) in neurogenic lesions [33]. During sEMG testing, there is a certain amount of imped- ance noise that arises directly from the resistance of the ...

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Surface electromyography during physical exercise in water: a systematic review

Surface electromyography during physical exercise in water: a systematic review

... In the last years there has been a great deal of research of surface EMG in the water. It seems that EMG during MVC is lower when performed in water compared to the dry land. It is unclear at this time why EMG is ...

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Surface electromyography as a screening method for evaluation of dysphagia and odynophagia

Surface electromyography as a screening method for evaluation of dysphagia and odynophagia

... a surface SEMG analysis of all the muscle groups involved in swallowing process, fol- lowing a proper placement of the electrodes and selection of tests, can give reliable indications of muscle activity and ...

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The use of surface electromyography within equine performance analysis

The use of surface electromyography within equine performance analysis

... the surface musculature since examining muscles further away from the skin surface reduces the reliability of the source of the sEMG signal detected (Lowery, Stoykov and Kuiken, ...as surface via ...

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Oynophagia in patients after dental extraction: surface electromyography study

Oynophagia in patients after dental extraction: surface electromyography study

... All EMG recordings were made using standard surface electrodes (AE-131). The equipment used for the EMG recordings was a NeuroDyne Neuromuscular Sys/3 four channel computer based EMG unit with NeuroDyne Med- ical ...

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