A review of classification techniques of EMG signals during isotonic and isometric contractions

N Nazmi, MA Abdul Rahman, SI Yamamoto, SA Ahmad… - Sensors, 2016 - mdpi.com
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 …

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 …

Hand motion recognition from single channel surface EMG using wavelet & artificial neural network

SM Mane, RA Kambli, FS Kazi, NM Singh - Procedia Computer Science, 2015 - Elsevier
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 …

A review: motor rehabilitation after stroke with control based on human intent

M Li, G Xu, J Xie, C Chen - … Part H: Journal of Engineering in …, 2018 - journals.sagepub.com
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 …

Evaluation of decomposition parameters for high-density surface electromyogram using fast independent component analysis algorithm

L Meng, Q Chen, X Jiang, X Liu, J Fan, C Dai… - … Signal Processing and …, 2022 - Elsevier
The surface electromyogram (sEMG) signal reveals the electrical neuromuscular activities
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 …

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 …

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 …

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 …

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 …