ArticleSensors (Basel, Switzerland)2017
Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment.Sensors (Basel, Switzerland) · 2024Article
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- Automated recognition of epilepsy from EEG signals using a combining space-time algorithm of CNN-LSTM.Scientific reports · 2023Article
- Brain Microtubule Electrical Oscillations-Empirical Mode Decomposition Analysis.Cellular and molecular neurobiology · 2023Article
- CNN for a Regression Machine Learning Algorithm for Predicting Cognitive Impairment Using qEEG.Neuropsychiatric disease and treatment · 2023Article
- qEEG as Biomarker for Alzheimer's Disease: Investigating Relative PSD Difference and Coherence Analysis.Neuropsychiatric disease and treatment · 2023Article
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- Personalized brain stimulation for effective neurointervention across participants.PLoS computational biology · 2021Article
- Convolutional Neural Network for Drowsiness Detection Using EEG Signals.Sensors (Basel, Switzerland) · 2021Article
- Feature Selection Model based on EEG Signals for Assessing the Cognitive Workload in Drivers.Sensors (Basel, Switzerland) · 2020Article
- Targeting Gamma-Related Pathophysiology in Autism Spectrum Disorder Using Transcranial Electrical Stimulation: Opportunities and Challenges.Autism research : official journal of the International Society for Autism Research · 2020Article
- Empirical Mode Decomposition-Based Filter Applied to Multifocal Electroretinograms in Multiple Sclerosis Diagnosis.Sensors (Basel, Switzerland) · 2019Article
- Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain.Pain reportsArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30-60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.
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