Feature extraction of surface electromyography (sEMG) and signal processing technique in wavelet transform: A review
N Burhan, R Ghazali - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
Electromyography (EMG) is used to measure and keep information of the electrical activity
that produced by muscles during contract and relax. The electrical activity is detected with …
that produced by muscles during contract and relax. The electrical activity is detected with …
Electromyography (EMG) data-driven load classification using empirical mode decomposition and feature analysis
This study presents a novel methodology towards load classification through surface-
Electromyography (sEMG). Two subjects performed weight lifting tasks for 1kg, 3kg and 7kg …
Electromyography (sEMG). Two subjects performed weight lifting tasks for 1kg, 3kg and 7kg …
Nanostructured (Ti, Cu) n dry electrodes for advanced control of the neuromuscular activity
C Lopes, H Veloso, M Hayes, MA Cullinan… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This research reports a novel concept of dry surface electrodes designed to act in a dual-
role biofeedback process: monitoring and stimulating the muscle's electrical activity. A new …
role biofeedback process: monitoring and stimulating the muscle's electrical activity. A new …
Smart system for prediction of accurate surface electromyography signals using an artificial neural network
O Dorgham, I Al-Mherat, J Al-Shaer, S Bani-Ahmad… - Future Internet, 2019 - mdpi.com
Bioelectric signals are used to measure electrical potential, but there are different types of
signals. The electromyography (EMG) is a type of bioelectric signal used to monitor and …
signals. The electromyography (EMG) is a type of bioelectric signal used to monitor and …
sEMG-Based Upper Limb Elbow Force Estimation Using CNN, CNN-LSTM, and CNN-GRU Models
Muscle fibers act as a source of force in the human body. The joint actions occur due to
contraction of these muscle fibers controlled by central nervous system (CNS). Surface …
contraction of these muscle fibers controlled by central nervous system (CNS). Surface …
Adaptive threshold to compensate the effect of muscle fatigue on elbow-joint angle estimation based on electromyography
O Wahyunggoro, HA Nugroho - Journal of Mechanical …, 2018 - journal.ump.edu.my
Muscle fatigue is a major problem in the study based on electromyography (EMG) signal.
When the muscle in the fatigue condition, the power of the EMG signal increases …
When the muscle in the fatigue condition, the power of the EMG signal increases …
Electromyography (EMG) and hand gripping force during standing and sitting
Musculoskeletal disorders reduced the motion and strength of upper limb muscle, especially
when doing a task repeatedly. Evaluation of upper limb muscle strength has been commonly …
when doing a task repeatedly. Evaluation of upper limb muscle strength has been commonly …
Electromyography Indices of Handgrip Force with Swinging Motion
WHW Abdullah, WMBW Daud… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Electromyography (EMG) is a powerful tool for studying muscle activity, but there is limited
research on EMG signals in the muscles of the human forearm, which poses challenges for …
research on EMG signals in the muscles of the human forearm, which poses challenges for …
EMG-based Feature Engineering Approach for Load Classification
We demonstrate a machine learning-based Human Activity Recognition (HAR) model in
terms of load classification. A self-collected dataset using surface electromyography (sEMG) …
terms of load classification. A self-collected dataset using surface electromyography (sEMG) …
Muscle Activity Detection of Human Upper Limb Using Piezoelectric Based Sensory System
NHD Nordin - PERINTIS eJournal, 2023 - perintis.org.my
Materials with piezoelectricity effect have gained its popularity not only in the area of
structural vibration but has been actively used in the area of biomechatronic for the past …
structural vibration but has been actively used in the area of biomechatronic for the past …