Title :
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
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893371
