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Literature DB >> 12018610

Comparison of wavelet transform and FFT methods in the analysis of EEG signals.

Abstract

In this study, whether the wavelet transform method is better for spectral analysis of the brain signals is investigated. For this purpose, as a spectral analysis tool, wavelet transform is compared with fast Fourier transform (FFT) applied to the electroencephalograms (EEG), which have been used in the previous studies. In addition, the time-domain characteristics of the wavelet transform are also detected. The comparison results show that the wavelet transform method is better in detecting brain diseases.

Entities: Disease

Mesh：

Year: 2002 PMID： 12018610 DOI： 10.1023/a:1015075101937

Source DB: PubMed Journal: J Med Syst ISSN： 0148-5598 Impact factor: 4.460

1 in total

1. Application of periodogram and AR spectral analysis to EEG signals.

Authors: M Akin; M K Kiymik
Journal: J Med Syst Date: 2000-08 Impact factor: 4.460

1 in total

24 in total

1. The analgesic effect of pregabalin in patients with chronic pain is reflected by changes in pharmaco-EEG spectral indices.

Authors: Carina Graversen; Søren S Olesen; Anne E Olesen; Kristoffer Steimle; Dario Farina; Oliver H G Wilder-Smith; Stefan A W Bouwense; Harry van Goor; Asbjørn M Drewes
Journal: Br J Clin Pharmacol Date: 2012-03 Impact factor: 4.335

10. A novel approach to pharmaco-EEG for investigating analgesics: assessment of spectral indices in single-sweep evoked brain potentials.

Authors: Mikkel Gram; Carina Graversen; Anders K Nielsen; Thomas Arendt-Nielsen; Carsten D Mørch; Trine Andresen; Asbjørn M Drewes
Journal: Br J Clin Pharmacol Date: 2013-12 Impact factor: 4.335

Comparison of wavelet transform and FFT methods in the analysis of EEG signals.

1. Application of periodogram and AR spectral analysis to EEG signals.

1. The analgesic effect of pregabalin in patients with chronic pain is reflected by changes in pharmaco-EEG spectral indices.

2. Artificial neural network and wavelet based automated detection of sleep spindles, REM sleep and wake states.

3. A new method based for diagnosis of breast cancer cells from microscopic images: DWEE--JHT.

4. Analysis of spike waves in epilepsy using Hilbert-Huang transform.

5. Brain Imaging Techniques and Their Applications in Decision-Making Research.

6. Exploration of EEG features of Alzheimer's disease using continuous wavelet transform.

7. Classification of sleep apnea through sub-band energy of abdominal effort signal using Wavelets + Neural Networks.

8. Hilbert-Huang Transformation Based Analyses of FP1, FP2, and Fz Electroencephalogram Signals in Alcoholism.

9. Dynamics of high-frequency synchronization during seizures.

10. A novel approach to pharmaco-EEG for investigating analgesics: assessment of spectral indices in single-sweep evoked brain potentials.