A review of classification techniques of EMG signals during isotonic and isometric contractions
In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
Review of sEMG for robot control: Techniques and applications
T Song, Z Yan, S Guo, Y Li, X Li, F Xi - Applied Sciences, 2023 - mdpi.com
Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …
activation signals to control robots through novel human–machine interfaces (HMIs). This …
Hand motion recognition from single channel surface EMG using wavelet & artificial neural network
The strength of the muscle contraction can be easily measured by the muscle activity
extracted at the skin surface. Analysis of surface Electromyogram (sEMG) is one of the …
extracted at the skin surface. Analysis of surface Electromyogram (sEMG) is one of the …
A review: motor rehabilitation after stroke with control based on human intent
Strokes are a leading cause of acquired disability worldwide, and there is a significant need
for novel interventions and further research to facilitate functional motor recovery in stroke …
for novel interventions and further research to facilitate functional motor recovery in stroke …
Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm
The surface electromyogram (sEMG) signal reveals the electrical neuromuscular activities
and offers theoretical and clinical information. Recently, exploring motoneuron discharge …
and offers theoretical and clinical information. Recently, exploring motoneuron discharge …
The interaction between changes of muscle activation and cortical network dynamics during isometric elbow contraction: a sEMG and fNIRS study
X Wang, Z Luo, M Zhang, W Zhao, S Xie… - … in Bioengineering and …, 2023 - frontiersin.org
Objective: The relationship between muscle activation during motor tasks and cerebral
cortical activity remains poorly understood. The aim of this study was to investigate the …
cortical activity remains poorly understood. The aim of this study was to investigate the …
IoT based monitoring system for epileptic patients
S Hassan, E Mwangi, PK Kihato - Heliyon, 2022 - cell.com
The unpredictable nature of epileptic seizures makes it challenging to detect and effectively
treat this disorder. The seizures are random, and most epileptic patients experience …
treat this disorder. The seizures are random, and most epileptic patients experience …
Fractal-based classification of electromyography (EMG) signal in response to basic movements of the fingers
H Namazi - Fractals, 2019 - World Scientific
Investigating human movements is the most important issue in rehabilitation science.
Movements of fingers as one of the major movements of human has been considered by …
Movements of fingers as one of the major movements of human has been considered by …
Applying muscle synergy analysis to forearm high-density electromyography of healthy people
Y Geng, Z Chen, Y Zhao, VCK Cheung… - Frontiers in Neuroscience, 2022 - frontiersin.org
Introduction Muscle synergy is regarded as a motor control strategy deployed by the central
nervous system (CNS). Clarifying the modulation of muscle synergies under different …
nervous system (CNS). Clarifying the modulation of muscle synergies under different …
Complexity-based classification of the coronavirus genome versus genomes of the human immunodeficiency virus (HIV) and dengue virus
H Namazi - Fractals, 2020 - World Scientific
Coronavirus disease (COVID-19) is a pandemic disease that has affected almost all around
the world. The most crucial step in the treatment of patients with COVID-19 is to investigate …
the world. The most crucial step in the treatment of patients with COVID-19 is to investigate …