Title :
Enhanced period-peak analysis of the electroencephalogram using a fast sinc function
Author :
Barr, Ronald E. ; Ferdjallah, Mohammed
Author_Institution :
Biomed. Eng. Program, Texas Univ., Austin, TX, USA
Abstract :
In an effort to reduce memory space and processing time required by the fast Fourier transform (FFT), a new method, the enhanced period-peak detection (EPPD), is investigated. The method is based on a combination of the Fourier transform (FT) and period-peak detection. The signal is considered as a train of truncated sinusoidal functions. Each truncated sinusoidal function is limited by two successive local extrema. The Fourier transform of the truncated sinusoidal function is a sinc function. The summation of these sinc functions taken from the train of truncated sinusoids yields an approximate frequency spectrum of the signal. This EPPD spectrum compares favorably to the actual frequency spectrum of the signal as determined by the Fourier transform using both a random generated signal and a sample EEG segment
Keywords :
electroencephalography; fast Fourier transforms; medical signal processing; signal detection; spectral analysis; electroencephalogram; enhanced period-peak analysis; fast Fourier transform; fast sinc function; memory space; period-peak detection; processing time; random generated signal; sample EEG segment; truncated sinusoidal functions; Algorithm design and analysis; Artificial intelligence; Biomedical engineering; Electroencephalography; Fast Fourier transforms; Fourier transforms; Frequency; Signal detection; Signal resolution; Time domain analysis;
Conference_Titel :
Biomedical Engineering Conference, 1997., Proceedings of the 1997 Sixteenth Southern
Conference_Location :
Biloxi, MS
Print_ISBN :
0-7803-3869-3
DOI :
10.1109/SBEC.1997.583273