Application of surface electromyography in exercise fatigue: a review

J Sun, G Liu, Y Sun, K Lin, Z Zhou, J Cai - Frontiers in Systems …, 2022 - frontiersin.org
Exercise fatigue is a common physiological phenomenon in human activities. The
occurrence of exercise fatigue can reduce human power output and exercise performance …

Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey

N Li, R Zhou, B Krishna, A Pradhan, H Lee, J He… - ACM Computing …, 2024 - dl.acm.org
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

Boosting personalized musculoskeletal modeling with physics-informed knowledge transfer

J Zhang, Y Zhao, T Bao, Z Li, K Qian… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Data-driven methods have become increasingly more prominent for musculoskeletal
modeling due to their conceptually intuitive simple and fast implementation. However, the …

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

IB Abdallah, Y Bouteraa - Sensors, 2024 - mdpi.com
The utilization of robotic systems in upper limb rehabilitation has shown promising results in
aiding individuals with motor impairments. This research introduces an innovative approach …

Assessment of muscle fatigue based on motor unit firing, muscular vibration and oxygenation via hybrid mini-grid sEMG, MMG, and NIRS sensing

W Guo, X Sheng, X Zhu - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
It is vital to measure muscular fatigue for human–machine interaction (HMI) and avoiding
muscle impairment. This article presents a novel approach to comprehensively evaluate …

Recognizing and predicting muscular fatigue of biceps brachii in motion with novel fabric strain sensors based on machine learning

C Wang, X Wang, Q Li, X Tao - Biomedical Signal Processing and Control, 2024 - Elsevier
Localized muscle fatigue is of major kinematic and medical significance in the field of sports
and rehabilitations. However, only few works reported fatigue recognition for field training …

Identification With Your Mind: A Hybrid BCI-Based Authentication Approach for Anti-Shoulder-Surfing Attacks Using EEG and Eye Movement Data

S Cheng, J Wang, D Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Biometric authentication has been applied in many domains due to the promoting
awareness of privacy and security risks. Most of the previous work has shown the …

Continuously monitoring of muscle fatigue based on a wearable micromachined ultrasonic transducer probe

M Qu, J Zhou, D Lv, Z Wang, Y Zheng, G Zhang… - Sensors and Actuators A …, 2024 - Elsevier
Ultrasound based methods can assess muscle fatigue by penetrating deep muscles and are
not susceptible to electrical noise, but traditional ultrasound probes have bulky size that …

Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features

LM Hari, G Venugopal… - Proceedings of the …, 2022 - journals.sagepub.com
In this study, the dynamic contractions and the associated fatigue condition in biceps brachii
muscle are analysed using Synchrosqueezed Wavelet Transform (SST) and singular value …

EMAHA-DB1: A new upper limb sEMG dataset for classification of activities of daily living

NK Karnam, AC Turlapaty, SR Dubey… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we present electromyography analysis of human activity-database 1 (EMAHA-
DB1), a novel dataset of multichannel surface electromyography (sEMG) signals to evaluate …