Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)
An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also a mediator between the external world and the brain, especially in the case of any mental illness; however, it has been widely used to monitor the dynamics of the brain in healthy subjects. This paper discus...
Saved in:
Main Authors: | Ahmed M. A. Mohamed, Osman N. Uçan, Oğuz Bayat, Adil Deniz Duru |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Applied Bionics and Biomechanics |
Online Access: | http://dx.doi.org/10.1155/2020/8853238 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Classification of Lactate Level Using Resting-State EEG Measurements
by: Applied Bionics and Biomechanics
Published: (2023-01-01) -
The Effects of Neuroinflammation Induced by Typhoid Vaccine on Resting and Task‐Based Electroencephalography
by: Julia R Plank, et al.
Published: (2025-01-01) -
Multiple DGs for Reducing Total Power Losses in Radial Distribution Systems Using Hybrid WOA-SSA Algorithm
by: Khalid Mohammed Saffer Alzaidi, et al.
Published: (2019-01-01) -
Effects of Mental Workload Manipulation on Electroencephalography Spectrum Oscillation and Microstates in Multitasking Environments
by: Wenbin Li, et al.
Published: (2025-01-01) -
Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI
by: Tae-Ju Lee, et al.
Published: (2013-01-01)