Characterization of Surface EMG Signal Based on Fuzzy Entropy
By Wei-Ting Chen, Zhizhong Wang, Hongbo Xie, Wangxin Yu. IEEE transactions on neural systems and rehabilitation engineering, 2007
978 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/07651c51d2a36062389e5c07ae1a98764d15221c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Cardiology and Cardiovascular Medicine
- Z. J. Lau
- Apiwat Lek-uthai
- Poomipat Boonyakitanont
- Tam Pham
- Shen-Hsing Annabel Chen
- Jitkomut Songsiri
- Shubin Si
- Krisnachai Chomtho
In Cognitive Neuroscience
- Z. J. Lau
- Apiwat Lek-uthai
- Poomipat Boonyakitanont
- Tam Pham
- Shen-Hsing Annabel Chen
- Jitkomut Songsiri
- Shubin Si
- Krisnachai Chomtho
Citations in the corpus
- Hierarchical diversity entropy for the early fault diagnosis of rolling bearing (2021, background): “Fuzzy entropy (FE) has been proposed to improve the stability of SE [4].”
- Measuring complexity using FuzzyEn, ApEn, and SampEn. (2009, methodology): “We [19] developed most recently a new related family of statistics, fuzzy entropy (FuzzyEn), as a measure of complexity .”
- Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial (2021, background): “For example, new measures such as fuzzy entropy (FuzzEn) [88] and fuzzy measure entropy (FuzzyMEn) [89] that were developed to overcome the poor statistical stability of ApEn and SampEn [90,91] have been gaining traction.”
- A review of feature extraction and performance evaluation in epileptic seizure detection using EEG (2019, methodology): “Fuzzy entropy ( FuzzEn ) is another measure of the process uncertainty, where its calculation is based on a zero-mean sequence [CWXY07].”