Entropy and Analysis of EEG/ECG
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (30 January 2024) | Viewed by 2060
Special Issue Editors
Interests: biomedical signal processing; ECG analysis; heart rate variability; autonomic nervous system
Special Issue Information
Dear Colleagues,
Biomedical signals, such as electrocardiogram (ECG) and electroencephalogram (EEG), are windows to the electrical activities of the heart and brain, both in a noninvasive manner, which reflect the activities and influence of other organs such as the autonomic nervous system, among others, and can be used to study the healthy function as well the state of disease.
ECG and EEG can be analyzed using derived signals such as heart rate variability and energy of the corresponding frequency bands, respectively.
These signals exhibit nonlinear behaviors, which have been successfully analyzed using entropy-based quantifiers, fractals and other nonlinear techniques.
For this Special Issue, original contributions or reviews related to heart rate variability, morphological ECG analysis, dynamics of EEG sub-band energies, spike timing in EEG, etc., using nonlinear dynamic tools such as entropy, fractality, and others will be welcome.
Prof. Dr. Marcelo Risk
Prof. Dr. Francisco O. Redelico
Guest Editors
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Keywords
- heart rate variability, blood pressure variability, blood volume variability, and other cardiovascular time series
- energy sub-band decomposition, inter-spike times, and others neurological time series
- clinical applications of nonlinear times series analysis
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