ArticleCognitive neurodynamics2021
EEG based cognitive task classification using multifractal detrended fluctuation analysis.
Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Team Cognition Research Is Transforming Cognitive Science.Topics in cognitive science · 2026Article
- Task-specific dynamical entropy variations in EEG as a biomarker for Parkinson's disease progression.GeroScience · 2026Article
- Quantifying cognitive effort's impact on suppression of epilepsy-associated after discharges.Frontiers in network physiology · 2026Article
- Article
- Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data.Brain sciences · 2025Article
- Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis.Sensors (Basel, Switzerland) · 2025Article
- Self-perceptual blindness to mental fatigue in mining workers.Frontiers in neuroergonomics · 2024Article
- Investigation of frequency components embedded in EEG recordings underlying neuronal mechanism of cognitive control and attentional functions.Cognitive neurodynamics · 2023Article
- Stability analysis of fractional order memristor synapse-coupled hopfield neural network with ring structure.Cognitive neurodynamics · 2023Article
- [Research on mild cognitive impairment diagnosis based on Bayesian optimized long-short-term neural network model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- Single-trial motor imagery electroencephalogram intention recognition by optimal discriminant hyperplane and interpretable discriminative rectangle mixture model.Cognitive neurodynamics · 2022Article
- Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders.Entropy (Basel, Switzerland) · 2022Article
- Attaining the recesses of the cognitive space.Cognitive neurodynamics · 2022Article
- Removal of Dust Microelectric Signal Based on Empirical Mode Decomposition and Multifractal Detrended Fluctuation Analysis.Computational intelligence and neuroscience · 2021Article
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Authors and funding
3 authors.
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Abstract
Locating cognitive task states by measuring changes in electrocortical activity due to various attentional and sensory-motor changes, has been in research interest since last few decades. In this paper, different cognitive states while performing various attentional and visuo-motor coordination tasks, are classified using electroencephalogram (EEG) signal. A non-linear time-series method, multifractal detrended fluctuation analysis (MFDFA) , is applied on respective EEG signal for features. Using MFDFA based features a multinomial classification is achieved. Nine channel EEG signal was recorded for 38 young volunteers (age:
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