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Surface electromyography (sEMG) is a widely used muscle activity monitoring technique. sEMG measures muscle activity through monopolar and bipolar, multi-electrode electrodes. The surface electrodes are placed on the surface of the skin…

Signal Processing · Electrical Eng. & Systems 2023-12-25 Kukhokuhle Tsengwa , Stephen Paine , Fred Nicolls , Yumna Albertus , Amir Patel

While electromyography (EMG) and magnetomyography (MMG) are both methods to measure the electrical activity of skeletal muscles, no systematic comparison between both signals exists. Within this work, we propose a systemic in silico model…

Tissues and Organs · Quantitative Biology 2021-08-12 Thomas Klotz , Leonardo Gizzi , Oliver Röhrle

A properly calibrated longitudinal magnetograph is an instrument that measures circular polarization and gives an estimation of the magnetic flux density in each observed resolution element. This usually constitutes a lower bound of the…

Solar and Stellar Astrophysics · Physics 2015-05-27 A. Asensio Ramos , M. J. Martinez Gonzalez , R. Manso Sainz

The online adaptation of exoskeleton control based on muscle activity sensing offers a promising approach to personalizing exoskeleton behavior based on the user's biosignals. While electromyography (EMG)-based methods have demonstrated…

Robotics · Computer Science 2025-10-01 Charlotte Marquardt , Arne Schulz , Miha Dezman , Gunther Kurz , Thorsten Stein , Tamim Asfour

Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions.…

The surface electromyography (sEMG) analysis can provide information on muscle fatigue status by estimation of muscle fibre conduction velocity (MFCV), a measure of the travelling speed of motor unit action potentials in muscle tissue. This…

Signal Processing · Electrical Eng. & Systems 2019-10-15 L. C. Medeiros , P. H. O. Silva , V. H. S. Lopes , A. F. Oliveira , E. B. Pereira , E. G. Nepomuceno

Purpose: From the myofibrils to the whole muscle scale, muscle micro-constituents exhibit passive and active mechanical properties, potentially coupled to electrical, chemical, and thermal properties. Experimental characterization of some…

Medical Physics · Physics 2024-06-25 Aude Loumeaud , Philippe Pouletaut , Sabine Bensamoun , Daniel George , Simon Chatelin

Brain activity can be measured using magnetic fields located at some distance from the brain, a technique called magneto-encephalography (MEG). The origin of such magnetic fields are the ionic currents involved in neuronal activity. While…

Neurons and Cognition · Quantitative Biology 2021-12-06 Alexis Garcia-Rodriguez , Alain Destexhe

Small magnetic particles placed in a relatively soft polymer (with elastic modulus E ~ 10-100 kPa) are magnetically soft elastomers. The external magnetic field acts on each particle which leads to microscopic deformation of the material…

Soft Condensed Matter · Physics 2015-12-25 Petr Andriushchenko , Leonid Afremov , Mariya Chernova

Conventional electromyography (EMG) measures the continuous neural activity during muscle contraction, but lacks explicit quantification of the actual contraction. Mechanomyography (MMG) and accelerometers only measure body surface motion,…

Human-Computer Interaction · Computer Science 2022-11-08 Zijing Zhang , Edwin C. Kan

Electromyography (EMG) is a way of measuring the bioelectric activities that take place inside the muscles. EMG is usually performed to detect abnormalities within the nerves or muscles of a target area. The recent developments in the field…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Niloy Sikder , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

We study the distribution of brain source from the most advanced brain imaging technique, Magnetoencephalography (MEG), which measures the magnetic fields outside the human head produced by the electrical activity inside the brain. Common…

Applications · Statistics 2019-08-13 Zhigang Yao , Zengyan Fan , Masahito Hayashi , William F. Eddy

Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular potentials generated when the brain instructs the body to perform both fine and coarse locomotion. This technique has seen extensive investigation over the…

Human-Computer Interaction · Computer Science 2021-04-06 Mingde Zheng , Michael S. Crouch , Michael S. Eggleston

Objective: We present magnetomyograms (MMG) of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) and electroencephalograph (EEG) data. Approach: We combined TMS with non-contact magnetic…

The electromyogram (EMG) in needle detection represents one of the steps of the electroneuromyogram (ENMG), an examination commonly performed in neurology. By inserting a needle into a muscle and studying the contraction during effort, the…

Magnetoencephalography (MEG) is an imaging technique used to measure the magnetic field outside the human head produced by the electrical activity inside the brain. The MEG inverse problem, identifying the location of the electrical sources…

Computation · Statistics 2014-08-01 Zhigang Yao , William F. Eddy

Electromyography (EMG)--based computational musculoskeletal modeling is a non-invasive method for studying musculotendon function, human movement, and neuromuscular control, providing estimates of internal variables like muscle forces and…

Machine Learning · Computer Science 2025-03-10 Rajnish Kumar , Tapas Tripura , Souvik Chakraborty , Sitikantha Roy

This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have mainly focused on the before-fatigue and fatigue conditions.…

Signal Processing · Electrical Eng. & Systems 2023-09-12 Van Hieu Nguyen , Gia Thien Luu , Thien Van Luong , Mai Xuan Trang , Philippe Ravier , Olivier Buttelli

Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various…

Signal Processing · Electrical Eng. & Systems 2021-06-21 Xinliang Guo , Lei Lu , Mark Robinson , Ying Tan , Kusal Goonewardena , Denny Oetomo

We investigate the relationship between the extensor electromyogram (EMG) and tremor time series in physiological hand tremor by cross-spectral analysis. Special attention is directed to the phase spectrum and the effects of observational…

chao-dyn · Physics 2007-05-23 J. Timmer , M. Lauk , W. Pfleger , G. Deuschl
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