[HTML][HTML] Intelligent human computer interaction based on non redundant EMG signal

Y Sun, C Xu, G Li, W Xu, J Kong, D Jiang, B Tao… - Alexandria Engineering …, 2020 - Elsevier
Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …

Analysis of dynamics of EMG signal variations in fatiguing contractions of muscles using transition network approach

N Makaram, PA Karthick… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The measurement and analysis of the electrical activity of muscle provide information that
aids in the control of assistive devices. The investigation of these signals under varied …

Determination of fatigue following maximal loaded treadmill exercise by using wavelet packet transform analysis and MLPNN from MMG-EMG data combinations

G Bilgin, İE Hindistan, YG Özkaya, E Köklükaya… - Journal of medical …, 2015 - Springer
The muscle fatigue can be expressed as decrease in maximal voluntary force generating
capacity of the neuromuscular system as a result of peripheral changes at the level of the …

Fusion classification of stroke patients' biosignals by weighted cross-validation-based feature selection (W-CVFS) method

X Chen, X Pan, T Ji, S Yu, Y Sun - Biomedical Signal Processing and …, 2023 - Elsevier
A multi-source information fusion-based disease class classification of stroke patients was
implemented to address the low classification accuracy of pure input motion and …

Hardware system for real-time EMG signal acquisition and separation processing during electrical stimulation

YH Hsueh, C Yin, YH Chen - Journal of medical systems, 2015 - Springer
The study aimed to develop a real-time electromyography (EMG) signal acquiring and
processing device that can acquire signal during electrical stimulation. Since electrical …

Classification of muscular nonfatigue and fatigue conditions using surface EMG signals and fractal algorithms

K Marri, R Swaminathan - Dynamic Systems …, 2016 - asmedigitalcollection.asme.org
The application of surface electromyography (sEMG) technique for muscle fatigue studies is
gaining importance in the field of clinical rehabilitation and sports medicine. These sEMG …

Optimal elbow angle for extracting sEMG signals during fatiguing dynamic contraction

MR Al-Mulla, F Sepulveda, B Al-Bader - Computers, 2015 - mdpi.com
Surface electromyographic (sEMG) activity of the biceps muscle was recorded from 13
subjects. Data was recorded while subjects performed dynamic contraction until fatigue and …

Velocity modulation assistance for stroke rehabilitation based on EMG muscular condition

JC Castiblanco, MV Arteaga… - 2020 8th IEEE RAS …, 2020 - ieeexplore.ieee.org
Robotic-assisted systems have been playing a key role in improving and speeding up motor
recovery during stroke rehabilitation therapies. This paper presents an approach to …

A comparison of sEMG and MMG signal classification for automated muscle fatigue detection

MR Al-Mulla, F Sepulveda - International Journal of …, 2019 - inderscienceonline.com
This study compares the classification performance of both sEMG and MMG signal from
fatiguing dynamic contraction of the biceps brachii. Commonly used statistical features are …

Study of the Grasp Conditions Effects on Pinch-Insertion Force Using Wavelet Transform

H Salmanzadeh, H Bahrami, A Malekzadeh… - International Journal of …, 2020 - ijoh.tums.ac.ir
In this paper, the effects of different grasp types, grasp widths, coupling types, and wearing
gloves on pinch-insertion force have been studied using the discrete wavelet transform …