An EMG patch for the real-time monitoring of muscle-fatigue conditions during exercise

SH Liu, CB Lin, Y Chen, W Chen, TS Huang, CY Hsu - Sensors, 2019 - mdpi.com
In recent years, wearable monitoring devices have been very popular in the health care field
and are being used to avoid sport injuries during exercise. They are usually worn on the …

A permutation Lempel-Ziv complexity measure for EEG analysis

Y Bai, Z Liang, X Li - Biomedical Signal Processing and Control, 2015 - Elsevier
Objective In this study we develop a new complexity measure of time series by combining
ordinal patterns and Lempel-Ziv complexity (LZC) for quantifying the dynamical changes of …

A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All‐Out Cycling Exercise

L Wang, Y Wang, A Ma, G Ma, Y Ye… - BioMed research …, 2018 - Wiley Online Library
The increased popularization of cycling has brought an increase in cycling‐related injuries,
which has been suggested to be associated with muscle fatigue. However, it still remains …

The application of Lempel-Ziv complexity in medicine science, nature science, social science, and engineering: a review and prospect

J Yin, W Sui, X Zhuang, Y Sheng, Y Li - IEEE Access, 2024 - ieeexplore.ieee.org
Lempel-Ziv complexity (LZC) is an algorithm used to quantify the complexity of a data
sequence by calculating the number of independent substrings contained in the sequence …

Investigations on precursor measures for aeroelastic flutter

J Venkatramani, S Sarkar, S Gupta - Journal of Sound and Vibration, 2018 - Elsevier
Wind tunnel experiments carried out on a pitch-plunge aeroelastic system in the presence of
fluctuating flows reveal that flutter instability is presaged by a regime of intermittency. It is …

Permutation Lempel–Ziv complexity measure of electroencephalogram in GABAergic anaesthetics

Y Bai, Z Liang, X Li, LJ Voss… - Physiological …, 2015 - iopscience.iop.org
Monitoring the brain state in anaesthesia is crucial for clinical doctors. In this study, we
propose a novel nonlinear method, the permutation Lempel–Ziv complexity (PLZC) index …

Dynamic elbow flexion force estimation through a muscle twitch model and sEMG in a fatigue condition

Y Na, J Kim - IEEE Transactions on Neural Systems and …, 2016 - ieeexplore.ieee.org
We propose a joint force estimation method to compute elbow flexion force using surface
electromyogram (sEMG) considering time-varying effects in a fatigue condition. Muscle …

Detecting muscle fatigue among community-dwelling senior adults with shape features of the probability density function of sEMG

J Ou, N Li, H He, J He, L Zhang, N Jiang - Journal of NeuroEngineering …, 2024 - Springer
Background Physical exercise is an important method for both the physical and mental
health of the senior population. However, excessive exertion can lead to increased risks of …

[HTML][HTML] Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity

A Diaz-Martinez, R Monfort-Ortiz, Y Ye-Lin… - biocybernetics and …, 2023 - Elsevier
The prolonged latent phase of Induction of Labour (IOL) is associated with increased risks of
maternal mortality and morbidity. Electrohysterography (EHG) has outperformed traditional …

Electromyography (EMG) signal classification based on detrended fluctuation analysis

A Phinyomark, P Phukpattaranont… - Fluctuation and Noise …, 2011 - World Scientific
Electromyography (EMG) signal is a useful signal in various medical and engineering
applications. To extract the useful information in the EMG signal, feature extraction method …