[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 …

An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model

H Li, S Derrode, W Pieczynski - Neurocomputing, 2019 - Elsevier
Detecting locomotion activities are critical for the analysis of human daily activities. In this
paper, an adaptive on-line classification method is proposed to detect four lower limb …

[HTML][HTML] Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier

HM Qassim, WZW Hasan, HR Ramli, HH Harith… - Sensors, 2022 - mdpi.com
The objective detection of muscle fatigue reports the moment at which a muscle fails to
sustain the required force. Such a detection prevents any further injury to the muscle …

[HTML][HTML] Conformal, stretchable, breathable, wireless epidermal surface electromyography sensor system for hand gesture recognition and rehabilitation of stroke …

K Yang, S Zhang, Y Yang, X Liu, J Li, B Bao, C Liu… - Materials & Design, 2024 - Elsevier
Surface electromyography (sEMG) plays a significant role in the everyday practice of clinic
hand function rehabilitation. The materials and design of current typical clinic sEMG …

A membership-function–based broad learning system for human–robot interaction force estimation under drawing task

B Tang, R Li, J Luo, M Pang, K Xiang - Medical & Biological Engineering & …, 2023 - Springer
Estimating interaction force is of great significance in the field of human-robot interaction
(HRI) thanks to its guarantee of interaction safety. To this end, this paper proposes a novel …

Identifying the best forearm muscle to control soft robotic glove system by using a single sEMG channel

HK Hameed, WZW Hassan, S Shafie… - 2020 Advances in …, 2020 - ieeexplore.ieee.org
Soft robotic gloves controlled by surface electromyography signals (sEMG) can be
indispensable tool for assisting patients afflicted with hand impairment to perform daily …

[PDF][PDF] Design of sEMG acquisition circuit and its adaptive EEMD denosing research

W Li, W Hu, K Hu, Q Qin - Int. J. Circuits, Syst. Signal Process., 2022 - npublications.com
The Surface electromyography (sEMG) signal is a kind of electrical signal which generated
by human muscles during contraction. It is prone to being affected by noise because of its …

Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

HK Hameed, WZ Wan Hasan, S Shafie… - Journal of Medical …, 2020 - Taylor & Francis
To make robotic hand devices controlled by surface electromyography (sEMG) signals
feasible and practical tools for assisting patients with hand impairments, the problems that …

Using the frequency signature to detect muscular activity in weak and noisy myoelectric signals

C D'Anna, T Varrecchia, M Schmid… - … Signal Processing and …, 2019 - Elsevier
The detection of muscular activity for signals characterized by low amplitude and low signal-
to-noise ratio–weak and noisy–is a challenge in biomedical data processing. The aim of this …

[PDF][PDF] Biceps and triceps electrical activity analysis based on using low-cost sensor: case study

H Qassim, WZW Hasan, HR Ramli… - IEICE Proceedings …, 2022 - researchgate.net
Upper limb's Surface Electromyography (sEMG) has been widely investigated and used for
controlling of rehabilitation and prosthetic robots. However, accurate acquiring and …