Reducing noise, artifacts and interference in single-channel emg signals: A review
Electromyography (EMG) is gaining importance in many research and clinical applications,
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …
including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical …
A review of classification techniques of EMG signals during isotonic and isometric contractions
In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
ECG arrhythmia classification by using a recurrence plot and convolutional neural network
BM Mathunjwa, YT Lin, CH Lin, MF Abbod… - … Signal Processing and …, 2021 - Elsevier
Cardiovascular diseases affect approximately 50 million people worldwide; thus, heart
disease prevention is one of the most important tasks of any health care system. Despite the …
disease prevention is one of the most important tasks of any health care system. Despite the …
[HTML][HTML] Surface electromyography signal processing and classification techniques
Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …
Stress detection using ECG and EMG signals: A comprehensive study
S Pourmohammadi, A Maleki - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective In recent years, stress and mental health have been
considered as important worldwide concerns. Stress detection using physiological signals …
considered as important worldwide concerns. Stress detection using physiological signals …
[引用][C] Research Methods in Biomechanics
G Robertson - 2013 - books.google.com
Research Methods in Biomechanics, Second Edition, demonstrates the range of available
research techniques and how to best apply this knowledge to ensure valid data collection. In …
research techniques and how to best apply this knowledge to ensure valid data collection. In …
Advanced bioelectrical signal processing methods: Past, present, and future approach—Part III: Other biosignals
Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly developing. This paper is a Part III …
advanced signal processing methods. This area is rapidly developing. This paper is a Part III …
A review of techniques for surface electromyography signal quality analysis
E Farago, D MacIsaac, M Suk… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Electromyography (EMG) signals are instrumental in a variety of applications including
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …
Deep learning models for denoising ECG signals
Effective and powerful methods for denoising electrocardiogram (ECG) signals are important
for wearable sensors and devices. Deep Learning (DL) models have been used extensively …
for wearable sensors and devices. Deep Learning (DL) models have been used extensively …
Tutorial. Surface electromyogram (sEMG) amplitude estimation: Best practices
This tutorial intends to provide insight, instructions and “best practices” for those who are
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …