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sEMG signals

An implementation of FCM-RBF technique for elbow joint flexion using single channel surface electromyography (SEMG) signals

An implementation of FCM-RBF technique for elbow joint flexion using single channel surface electromyography (SEMG) signals

... This study mainly aim to predict the muscle force during elbow joint flexion using single channel surface Electromyography sEMG signals.. However, the challenge of using the single chann[r] ...

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SEMG in Stroke Rehabilitation – A Review Yadika Jamwal, Kuldeep Singh

SEMG in Stroke Rehabilitation – A Review Yadika Jamwal, Kuldeep Singh

... Willy Chou et al [29] presented a design of a wireless and wearable monitoring device for precise evaluation of swallowing coordination in dysphagic patients with unilateral stroke. An algorithm of bilateral muscle ...

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Relationships Between Prior Experiences, Current Teaching Contexts, and Novice Teachers' Use of Concrete Representation for Mathematics Instruction

Relationships Between Prior Experiences, Current Teaching Contexts, and Novice Teachers' Use of Concrete Representation for Mathematics Instruction

... estimated sEMG signal divisions shown based on the ...right sEMG signals for that subject are shown, which are those points indicated by Table ...for sEMG activation intervals can be ...

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Surface EMG signals in very late-stage of Duchenne muscular dystrophy: a case study

Surface EMG signals in very late-stage of Duchenne muscular dystrophy: a case study

... physiological signals that are implicitly related to the sup- ported motion can result in a more natural and intuitive interaction with the robotic arm ...use sEMG-based control, a well-established control ...

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Recovery of facial expressions using functional electrical stimulation after full-face transplantation

Recovery of facial expressions using functional electrical stimulation after full-face transplantation

... Facial sEMG signals (sample rate, fs = 2000 Hz) collected from healthy individuals and patients were used to investigate active muscles in each ...collect sEMG data and apply electrical ...each ...

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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

... (sEMG) signals require designers to use digital signal processing hardware or ensemble methods as tools to solve real time hand gesture ...on sEMG signals is proposed in this paper. The ...

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Design of Real Time Document Control Based on Zigbee and Surface Electromyography (sEMG)

Design of Real Time Document Control Based on Zigbee and Surface Electromyography (sEMG)

... EOG signals are elimi- nated from sEMG with the ICA algorithm which enhances the accuracy of control ...of sEMG, the output of control command and so ...

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SEMG signal compression based on two-dimensional techniques

SEMG signal compression based on two-dimensional techniques

... EMG signals as two-dimensional arrays, that is, ...encoding SEMG signals, by enhancing signal correlations, which consequently result in a more effective use of the available image compression ...

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Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets

Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets

... 8-channel SEMG system (Biometrics DataLOG, Biometrics Ltd, Ladysmith, VA, ...tape. SEMG signals were amplified, filtered (bandpass: 15 - 450 Hz), and recorded at 2000 ...

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Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects

Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects

... amputee, sEMG of the re- sidual muscles becomes an obvious choice for natural control of the prosthetic ...of sEMG signals to identify the desired finger movements and obtain the command for ...

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7. Design and development of sEMG Prosthetics for recovering amputation of the human hand

7. Design and development of sEMG Prosthetics for recovering amputation of the human hand

... (sEMG) signals from working muscles located near amputation ...the sEMG sensor, Arduino Nano Microcontroller, five servo motors, and temperature ...

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Biometric handwriting analysis to support Parkinson’s Disease assessment and grading

Biometric handwriting analysis to support Parkinson’s Disease assessment and grading

... biometric signals related to pen movements (pen tip position, incli- nation and pressure) and muscle activation [28, ...These signals were processed to extract a number of features used as input to two ...

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Joint Motion Prediction Based on sEMG Third order Cumulant Feature

Joint Motion Prediction Based on sEMG Third order Cumulant Feature

... the sEMG signal collected by the device as the observation signal, we need to decouple the observed signal so that the components are linearly independent, and the correlation of the sEMG signals on ...

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SEMG Features Extraction For Prosthesis Control Purposes

SEMG Features Extraction For Prosthesis Control Purposes

... in order to analyse and evaluate the signals collected. In some researches done previously, it illustrated that when combined decoding with a high degree of accuracy, the intention of the motion generated by the ...

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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 sEMG signal accompanied with goniometer ...acquired sEMG signal is compared with the goniometer finding to ensure the sEMG classification is ...classify sEMG signals ...

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Identifying hand gestures using sEMG for human machine interaction

Identifying hand gestures using sEMG for human machine interaction

... presents sEMG based five- fingered under actuated prosthetic hand controlled. sEMG signals were measured through 3 electrodes mounted on the flexor digitorum profundus, flexor pollicis longus and ...

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Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study

Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study

... Some limitations of this study are: The proposed algorithm was tested on both offline and online. However, the results cannot be generalized to the entire population, only to the sample, i.e., the study population is not ...

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Hand Gestures Recognition Based on One Channel Surface EMG Signal

Hand Gestures Recognition Based on One Channel Surface EMG Signal

... gesture SEMG signals consists of three parts: data pre-processing, feature extraction and ...the sEMG signal segments into feature ...the sEMG sig- ...

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Journal of Neurological Research and Therapy

Journal of Neurological Research and Therapy

... 8-channel SEMG system (DataLOG MWX8, Biometrics Ltd, Ladysmith, VA, ...tape. SEMG signals were detected via differential electrodes, pre- amplified (1000 gain), filtered (bandpass: 20 – 450 Hz), and ...

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A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition

A Neural Network Approach in Performing Non-Invasive Analysis of Muscle Impulses for Hand Gesture Recognition

... and sEMG signals is presented in this paper. sEMG is an approach of detecting and documenting the electrical impulses of the muscles, from the surface of the ...

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