Hand movement recognition from sEMG signals using Fourier decomposition method
Surface electromyogram (sEMG) provides a non-invasive way to collect EMG signals. The
sEMG signals acquired from the muscles of the forearm can be used to recognize the hand …
sEMG signals acquired from the muscles of the forearm can be used to recognize the hand …
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals
To perform basic hand movements, a hand amputee person needs an exoskeleton
prosthetic hand (EPH). The EPH can be controlled through electroencephalogram (EEG) or …
prosthetic hand (EPH). The EPH can be controlled through electroencephalogram (EEG) or …
The influence of hand tool design on hand grip strength: a review
Hand is made up of bones, tendons, ligaments, nerves and blood vessels that can be easily
debilitated and injured if the hand tool is not design ergonomically. Recently researchers …
debilitated and injured if the hand tool is not design ergonomically. Recently researchers …
Exhausting repetitive piano tasks lead to local forearm manifestation of muscle fatigue and negatively affect musical parameters
Muscle fatigue is considered as a risk factor for developing playing-related muscular
disorders among professional pianists and could affect musical performance. This study …
disorders among professional pianists and could affect musical performance. This study …
A cepstrum analysis-based classification method for hand movement surface EMG signals
E Yavuz, C Eyupoglu - Medical & biological engineering & computing, 2019 - Springer
It is of great importance to effectively process and interpret surface electromyogram (sEMG)
signals to actuate a robotic and prosthetic exoskeleton hand needed by hand amputees. In …
signals to actuate a robotic and prosthetic exoskeleton hand needed by hand amputees. In …
The effect of cognitive fatigue on prefrontal cortex correlates of neuromuscular fatigue in older women
Background As the population of adults aged 65 and above is rapidly growing, it is crucial to
identify physical and cognitive limitations pertaining to daily living. Cognitive fatigue has …
identify physical and cognitive limitations pertaining to daily living. Cognitive fatigue has …
Hand posture and force estimation using surface electromyography and an artificial neural network
Objective The purpose of this study was to develop an approach to predict hand posture
(pinch versus grip) and grasp force using forearm surface electromyography (sEMG) and …
(pinch versus grip) and grasp force using forearm surface electromyography (sEMG) and …
Advancing clinical understanding of surface electromyography biofeedback: bridging research, teaching, and commercial applications
Introduction Expanding the use of surface electromyography-biofeedback (EMG-BF) devices
in different therapeutic settings highlights the gradually evolving role of visualizing muscle …
in different therapeutic settings highlights the gradually evolving role of visualizing muscle …
An electrical impedance tomography based interface for human–robot collaboration
E Zheng, Y Li, Z Zhao, Q Wang… - IEEE/ASME Transactions …, 2020 - ieeexplore.ieee.org
Adaptation to the operator's intents and the external physical uncertainties is critical to the
performances of the human–robot collaboration. In this study, we proposed a control …
performances of the human–robot collaboration. In this study, we proposed a control …
Impact of task design on task performance and injury risk: case study of a simulated drilling task
Existing evidence is limited regarding the influence of task design on performance and
ergonomic risk, or the association between these two outcomes. In a controlled experiment …
ergonomic risk, or the association between these two outcomes. In a controlled experiment …