Reducing noise, artifacts and interference in single-channel emg signals: A review

M Boyer, L Bouyer, JS Roy, A Campeau-Lecours - Sensors, 2023 - mdpi.com
Electromyography (EMG) is gaining importance in many research and clinical applications,
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …

Use of surface EMG in clinical rehabilitation of individuals with SCI: barriers and future considerations

R Pilkar, K Momeni, A Ramanujam, M Ravi… - Frontiers in …, 2020 - frontiersin.org
Surface electromyography (sEMG) is a widely used technology in rehabilitation research
and provides quantifiable information on the myoelectric output of a muscle. In this …

Active proportional electromyogram controlled functional electrical stimulation system

BAC Osuagwu, E Whicher, R Shirley - Scientific reports, 2020 - nature.com
Neurophysiological theories and past studies suggest that intention driven functional
electrical stimulation (FES) could be effective in motor neurorehabilitation. Proportional …

Automatic selection of IMFs to denoise the sEMG signals using EMD

PK Koppolu, K Chemmangat - Journal of electromyography and kinesiology, 2023 - Elsevier
Surface Electromyography (sEMG) signals are muscle activation signals, which has
applications in muscle diagnosis, rehabilitation, prosthetics, and speech etc. However, they …

Muscle synergy-based functional electrical stimulation reduces muscular fatigue in post-stroke patients: a systematic comparison

S Bala, VY Vishnu, D Joshi - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Muscle synergy-based functional electrical stimulation had improved movement kinematics
instantly and in long-term use in post-stroke patients. However, the therapeutic benefits and …

Ultrasound echogenicity as an indicator of muscle fatigue during functional electrical stimulation

Q Zhang, A Iyer, K Lambeth, K Kim, N Sharma - Sensors, 2022 - mdpi.com
Functional electrical stimulation (FES) is a potential neurorehabilitative intervention to
enable functional movements in persons with neurological conditions that cause mobility …

VMD-based denoising methods for surface electromyography signals

F Xiao, D Yang, X Guo, Y Wang - Journal of Neural Engineering, 2019 - iopscience.iop.org
Objective. Since noise is inevitably introduced during the measurement process of surface
electromyographic (sEMG) signals, two novel methods for denoising based on the …

[HTML][HTML] Comparison of filtering methods for real-time extraction of the volitional EMG component in electrically stimulated muscles

MJ Hambly, ACC de Sousa, C Pizzolato - Biomedical Signal Processing …, 2024 - Elsevier
Objective Recorded electromyograms (EMG) of electrically stimulated muscles can contain
both an exogenous-evoked potential (M-wave) and an endogenous, or volitional …

A method for suppressing electrical stimulation artifacts from electromyography

Y Li, J Chen, Y Yang - International journal of neural systems, 2019 - World Scientific
When surface electromyography (EMG) signal is used in a real-time functional electrical
stimulation (FES) system for feedback control, the artifact from electrical stimulation is a key …

Volitional EMG estimation method during functional electrical stimulation by Dual-Channel surface EMGs

J Jung, DW Lee, YK Son, BS Kim, HC Shin - Sensors, 2021 - mdpi.com
We propose a novel dual-channel electromyography (EMG) spatio-temporal differential
(DESTD) method that can estimate volitional electromyography (vEMG) signals during time …