The research conducted in the last three decades has collectively demonstrated that the skeletal muscle performance can be alternatively assessed by mechanomyographic signal …
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 …
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 …
This systematic review aims to categorically analyses the literature on the assessment of biceps brachii (BB) muscle activity through mechanomyography (MMG). The application of …
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 …
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 …
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 …
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 …
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 …