In this paper, a technique for processing data produced from an EEG though the use of an FPGA architecture is proposed. The proposed FPGA architecture should efficiently determine the wavelet transform of the inputted data. The transformed signal would then be used for diagnosis and monitoring of patients. The application of the wavelet transformed signal for the diagnosis of an epileptic patient is also proposed.
목차
Abstract 1. Introduction 2. Literature Survey 3. Implementation of the wavelet transform 4. Proposed Concept Model of the FPGA Archtecture 5. Application of the FPGA implemenation for diagonosis of an epileptic 6. PROs and CONs of Proposed Design 7. Conclusion Acknowledgments References
키워드
EEG (electroencephalogram) Analysis using FPGA(Field Programmable Gate Arrays)CWT (Continuous Wavelet Transforms)WT (Wavelet Transform) using FPGA DWT (Discrete Wavelet Transforms)FFT(Fast Fourier Transform)Automated EEG AnalysisHeat Stress on EEG
저자
Aaron Roopnarine [ Department of Electrical and Computer Engineering University of the West Indies St. Augustine, Trinidad ]
Marcus Lloyde George [ Dept. Electrical and Computer Engineering University of the West Indies St. Augustine, Trinidad and Tobago ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.6