Basic Principles of Quantitative EEG
@article{Kaiser2005BasicPO, title={Basic Principles of Quantitative EEG}, author={David A. Kaiser}, journal={Journal of Adult Development}, year={2005}, volume={12}, pages={99-104} }
Principles of quantitative electroencephalography (EEG) relevant to neurotherapy are reviewed. A brief history of EEG, the general properties of human EEG, and the issues and obstacles associated with quantitative methods are discussed. Fourier analysis is also described.
55 Citations
EEG Spectral Analysis
- Biology
- 2018
This chapter covers some background principles of spectral analysis and introduces important issues that researchers must consider during EEG spectral analysis, and discusses the various methodological decisions the researchers have to make during the analysis.
The Nature of EEG Reactivity to Light, Sound, and Pain Stimulation in Neurosurgical Comatose Patients Evaluated by a Quantitative Method
- MedicineClinical EEG and neuroscience
- 2017
New knowledge is revealed about the nature of EEG-R, which contribute to the development of more reliable and objective clinical procedures for outcome prediction, in a study of 39 comatose neurosurgical patients.
EEG in psychiatric practice: to do or not to do?
- Psychology, Medicine
- 2011
This article describes specific EEG changes associated with major psychiatric disorders and offers pragmatic considerations when referring a patient for EEG, emphasising the fact that the information provided to the neurophysiologist plays a crucial role in interpreting the EEG recording in a diagnostically meaningful way.
Quantitative Electroencephalography and Behavioural Correlates of Daytime Sleepiness in Chronic Stroke
- Psychology, BiologyBioMed research international
- 2014
The results indicate sustained slowing in the qEEG in chronic stroke, but in contrast to healthy controls, these changes are not related to perceived sleepiness.
Removal of movement-induced EEG artifacts: current state of the art and guidelines.
- Computer ScienceJournal of neural engineering
- 2022
Recommendations for the use of each method based on independent component analysis depending on the intensity of the movement are provided and the advantages and disadvantages of the methods are highlighted.
Removal of movement-induced EEG artifacts: current state of the art and guidelines
- Computer ScienceJournal of neural engineering
- 2022
Recommendations for the use of each method depending on the intensity of the movement in EEG data during locomotion are provided and the advantages and disadvantages of the methods are highlighted.
Quantitative assessments of extracellular EEG to classify specific features of main phases of seizure acquisition based on kindling model in Rat
- BiologyNeuroscience Letters
- 2017
Computational Intelligence Approaches to Brain Signal Pattern Recognition
- Psychology
- 2008
The objective is to identify patterns in electrophysiological brain activity that are identified within the realm of pattern recognition, which facilitates a more generic description of existing approaches, and development or reuse of suitable pattern recognition methods.
Wavelet skeletons in sleep EEG-monitoring as biomarkers of early diagnostics of mild cognitive impairment.
- Biology, PsychologyChaos
- 2021
The wavelet-skeleton approach is used to find some characteristic patterns in the electroencephalograms of healthy adult patients and patients with cognitive dysfunctions that can be interpreted as related to the activity in the motor cortex, as a candidate for developing the criteria for early objective MCI.
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