نتایج جستجو برای: surface emg signal analysis

تعداد نتایج: 3639241  

Journal: :IEEE Transactions on Neural Systems and Rehabilitation Engineering 2017

Journal: :Journal of information and communication convergence engineering 2011

Journal: :Iranian rehabilitation journal 2021

Objectives: This study presents a method of assessing muscle fatigue during endurance testing at 50% maximal voluntary contraction (MVC) using electromyography (EMG) information as indirect indices fatigability in the forearm muscles, namely, flexor digitorum superficialis (FDS); carpi ulnaris (FCU); extensor (ECU) and radialis brevis (ECRB)." (ECRB). Methods: A randomized comparative experimen...

Journal: :Journal of applied physiology 2005
Kevin G Keenan Dario Farina Katrina S Maluf Roberto Merletti Roger M Enoka

The purpose of the study was to quantify the influence of selected motor unit properties and patterns of activity on amplitude cancellation in the simulated surface electromyogram (EMG). The study involved computer simulations of a motor unit population with physiologically defined recruitment and rate coding characteristics that activated muscle fibers whose potentials were recorded on the ski...

Journal: :IEEE Sensors Journal 2022

An important aspect of mechanical ventilation is the recognition and quantification spontaneous respiratory effort. However, a measurement flows pressures often used for this purpose prone to error. A promising alternative detect diaphragmatic contractions, directly. method recently proposed acquire diaphragm electromyography (EMG) signals using surface electrodes. limited by disturbances elect...

2011
Manish Sadhana Pal Anupam Bhardwaj Gyan Prakash Pal

Appropriate cancellation of the baseline fluctuation (BLF) is an important issue when recording EMG signals as it may degrade signal quality and distort qualitative and quantitative analysis. We present two techniques, statistical and filter-design approach for cancellation of the BLF based on several signal processing techniques used sequentially. The methodology is to estimate the spectral co...

Journal: :Balkan Journal of Electrical and Computer Engineering 2017

2005
Yunus Ziya ARSLAN Aydın AKAN Arif ADLI

In this work, the signal-force relation is investigated by analyzing the EMG signals measured from the muscles under the effect of forces. Surface EMG signals are recorded during the isometric and anisometric contraction of four muscles with different levels of forces applied to the arm. Higher order frequency moments calculated from the power spectrum of signals are used as characterizing feat...

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