Categorization of EEG rhythmic patterns based on PLL approach

Author

Lee, Yu-Yun ; Lo, Pei-Chen

Author_Institution

Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

3

fYear

2000

fDate

2000

Firstpage

1436

Abstract

This paper demonstrates a new approach based on phase-locked loop (PLL) model to categorizing the EEG (electroencephalogram) rhythmic band (delta, theta, alpha, or beta). The main idea is to translate the EEG spectrum to a higher frequency band by single-sideband (SSB) modulation scheme. A few factors determine the system performance in EEG analysis. According to the results of computer simulation, a satisfactory performance can be achieved by using the PLL model with a properly selected loop gain and loop-filter bandwidth

Keywords

electroencephalography; pattern recognition; phase locked loops; EEG analysis; EEG rhythmic band; EEG rhythmic pattern categorization; EEG spectrum; PLL approach; SSB modulation scheme; computer simulation; electroencephalogram; loop gain; loop-filter bandwidth; phase-locked loop model; single-sideband modulation scheme; Amplitude modulation; Bandwidth; Brain modeling; Computer simulation; Electroencephalography; Frequency; Performance analysis; Performance gain; Phase locked loops; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.893371

Filename

893371