[HTML][HTML] A comparative analysis of global optimization algorithms for surface electromyographic signal onset detection

S Alam, X Zhao, IK Niazi, MS Ayub, MA Khan - Decision Analytics Journal, 2023 - Elsevier
Surface Electromyography (sEMG) is a technique for measuring muscle activity by recording
electrical signals from the surface of the body. It is widely used in fields such as medical …

Improving EMG signal change point detection for low SNR by using extended Teager-Kaiser energy operator

A Tigrini, A Mengarelli, S Cardarelli… - … on Medical Robotics …, 2020 - ieeexplore.ieee.org
Muscle onset detection plays a key role in applications ranging from clinical to assistive
technology. The Teager-Kaiser energy operator (TKEO) is an acknowledged tool used in …

Comparison of different algorithms based on TKEO for EMG change point detection

S Wang, S Zhu, Z Shang - Physiological Measurement, 2022 - iopscience.iop.org
Objective. A significant challenge in surface electromyography (EMG) is the accurate
identification of onset and offset of muscle activation while maintaining high real-time …

Decreased Neuromuscular Function and Muscle Quality along with Increased Systemic Inflammation and Muscle Proteolysis Occurring in the Presence of Decreased …

DS Willoughby, C Florez, J Davis, N Keratsopoulos… - Nutrients, 2024 - mdpi.com
Menopause causes a reduction in estradiol (E2) and may be associated with neuromuscular
degeneration. Compared to pre-menopausal (PRE-M) women, this study sought to …

An artifact-resistant feature SKNAER for quantifying the burst of skin sympathetic nerve activity signal

Y Xing, Y Zhang, Z Xiao, C Yang, J Li, C Cui, J Wang… - Biosensors, 2022 - mdpi.com
Evaluation of sympathetic nerve activity (SNA) using skin sympathetic nerve activity (SKNA)
signal has attracted interest in recent studies. However, signal noises may obstruct the …

A Precise Muscle activity onset/offset detection via EMG signal

K Kang, K Rhee, HC Shin - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In this study, we propose a muscle activity detection algorithm which reflects the activation
state. Since muscle in outer part is related to extraction of fingers and inner part controls …

Electromyographic and kinematic evaluation of bench press exercise: a case report study on athletes with different impairments and expertise

A Bellitto, G Marchesi, M Comini, A Massone… - Sport Sciences for …, 2023 - Springer
Purpose With an increase in the number of adapted sports, the need to monitor sports
performance in people with different abilities has grown. Indeed, a thorough evaluation of …

On nonlinear regression for trends in split-belt treadmill training

U Rashid, N Kumari, N Signal, D Taylor, AC Vandal - Brain Sciences, 2020 - mdpi.com
Single and double exponential models fitted to step length symmetry series are used to
evaluate the timecourse of adaptation and de-adaptation in instrumented split-belt treadmill …

Single-trial movement intention detection estimation in patients with Parkinson's disease: a movement-related cortical potential study

M Jochumsen, KB Poulsen, SL Sørensen… - Journal of Neural …, 2024 - iopscience.iop.org
Objectives. Parkinson patients often suffer from motor impairments such as tremor and
freezing of movement that can be difficult to treat. To unfreeze movement, it has been …

Investigating the feasibility of combining EEG and EMG for controlling a hybrid human computer interface in patients with spinal cord injury

K Leerskov, M Rehman, I Niazi… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
Objective. Human-computer interfaces (HCI) are potential tools for assisting (movement
replacement) and rehabilitating (movement restoration) individuals with spinal cord injury …