Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey

N Li, R Zhou, B Krishna, A Pradhan, H Lee, J He… - ACM Computing …, 2024 - dl.acm.org
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

Mechanomyographic parameter extraction methods: an appraisal for clinical applications

MO Ibitoye, NA Hamzaid, JM Zuniga, N Hasnan… - Sensors, 2014 - mdpi.com
The research conducted in the last three decades has collectively demonstrated that the
skeletal muscle performance can be alternatively assessed by mechanomyographic signal …

Evaluation of bioelectric signals for human recognition

A Pal, AK Gautam, YN Singh - Procedia Computer Science, 2015 - Elsevier
This paper presents an evaluation of bioelectrical signals to use as a biometric for human
recognition. Research shows that the impulses of cardiac rhythm, electrical activity of the …

Application of modern multi-sensor holter in diagnosis and treatment

E Vavrinsky, J Subjak, M Donoval, A Wagner… - Sensors, 2020 - mdpi.com
Modern Holter devices are very trendy tools used in medicine, research, or sport. They
monitor a variety of human physiological or pathophysiological signals. Nowadays, Holter …

[HTML][HTML] A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography

I Talib, K Sundaraj, CK Lam… - Journal of musculoskeletal …, 2018 - ncbi.nlm.nih.gov
This systematic review aims to categorically analyses the literature on the assessment of
biceps brachii (BB) muscle activity through mechanomyography (MMG). The application of …

Biometrics verification modality using multi-channel sEMG wearable bracelet

S Said, AS Karar, T Beyrouthy, S Alkork, A Nait-Ali - Applied Sciences, 2020 - mdpi.com
Electrical biosignals have the potential for use as biometric authenticators, owing to their
ability to facilitate liveness detection and concealed nature. In this work, the viability of using …

Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury

J Naeem, NA Hamzaid, MA Islam, AW Azman… - Medical & biological …, 2019 - Springer
Patients with spinal cord injury (SCI) benefit from muscle training with functional electrical
stimulation (FES). For safety reasons and to optimize training outcome, the fatigue state of …

Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography

EL Spieker, A Dvorani, C Salchow-Hömmen, C Otto… - Sensors, 2024 - mdpi.com
Transcutaneous spinal cord stimulation (tSCS) provides a promising therapy option for
individuals with injured spinal cords and multiple sclerosis patients with spasticity and gait …

Wrist movement detection for prosthesis control using surface EMG and triaxial accelerometer

J Yang, R Kusche, M Ryschka… - 2017 10th International …, 2017 - ieeexplore.ieee.org
The most important issue of prosthesis control is to get the correct control signal. In most
studies, there is only one kind of signal applied to control the prosthesis, which is prone to …

Super wavelet for sEMG signal extraction during dynamic fatiguing contractions

MR Al-Mulla, F Sepulveda - Journal of medical systems, 2015 - Springer
In this research an algorithm was developed to classify muscle fatigue content from dynamic
contractions, by using a genetic algorithm (GA) and a pseudo-wavelet function. Fatiguing …