Review of electromyography onset detection methods for real-time control of robotic exoskeletons

CR Carvalho, JM Fernández, AJ Del-Ama… - … of neuroengineering and …, 2023 - Springer
Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …

Wearable monitoring devices for biomechanical risk assessment at work: Current status and future challenges—A systematic review

A Ranavolo, F Draicchio, T Varrecchia… - International journal of …, 2018 - mdpi.com
Background: In order to reduce the risk of work-related musculoskeletal disorders (WMSDs)
several methods have been developed, accepted by the international literature and used in …

[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes

X Zhang, P Zhou - Journal of Electromyography and Kinesiology, 2012 - Elsevier
Voluntary surface electromyogram (EMG) signal is sometimes contaminated by spurious
background spikes of both physiological and extrinsic or accidental origins. A novel method …

Long short-term memory (LSTM) recurrent neural network for muscle activity detection

M Ghislieri, GL Cerone, M Knaflitz… - … of NeuroEngineering and …, 2021 - Springer
Background The accurate temporal analysis of muscle activation is of great interest in many
research areas, spanning from neurorobotic systems to the assessment of altered …

Wavelet-based assessment of the muscle-activation frequency range by EMG analysis

F Di Nardo, T Basili, S Meletani, D Scaradozzi - IEEE Access, 2022 - ieeexplore.ieee.org
The assessment of muscle-recruitment timing from electromyography (EMG) signal is
relevant in different fields, including clinical gait analysis and robotic systems to interpret …

An adaptive algorithm for the determination of the onset and offset of muscle contraction by EMG signal processing

Q Xu, Y Quan, L Yang, J He - IEEE Transactions on Neural …, 2012 - ieeexplore.ieee.org
Estimation of on–off timing of human skeletal muscles during movement is an ongoing issue
in surface electromyography (sEMG) signal processing for relevant clinical applications …

Accurate EMG onset detection in pathological, weak and noisy myoelectric signals

D Yang, H Zhang, Y Gu, H Liu - Biomedical Signal Processing and Control, 2017 - Elsevier
In this paper, we propose an alternative onset detection method dealing with pathological,
weak and noisy myoelectric signals. We evaluate our method on simulated, offline EMG …

Machine learning for detection of muscular activity from surface EMG signals

F Di Nardo, A Nocera, A Cucchiarelli, S Fioretti… - Sensors, 2022 - mdpi.com
Background: Muscular-activity timing is useful information that is extractable from surface
EMG signals (sEMG). However, a reference method is not available yet. The aim of this …

[PDF][PDF] A detail study of wavelet families for EMG pattern recognition

J Too, AR Abdullah, NM Saad, NM Ali… - International Journal of …, 2018 - researchgate.net
Wavelet transform (WT) has recently drawn the attention of the researchers due to its
potential in electromyography (EMG) recognition system. However, the optimal mother …