메뉴 건너뛰기




Volumn , Issue , 2007, Pages 631-634

Best wavelet function identification system for ECG signal denoise applications

Author keywords

Best wavelet function; ECG denoise; Wavelet denoise; Wavelet function

Indexed keywords

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FUNCTIONS; PROBABILITY DENSITY FUNCTION; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; WAVELET DECOMPOSITION;

EID: 57949110814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAS.2007.4658464     Document Type: Conference Paper
Times cited : (30)

References (10)
  • 1
    • 67349209167 scopus 로고    scopus 로고
    • ECG Front End Design is Simplified by MicroConverter
    • Eckart Hartmann, "ECG Front End Design is Simplified by MicroConverter", Analogue Dialogue, pp. 37-11, 2003
    • (2003) Analogue Dialogue , pp. 37-11
    • Hartmann, E.1
  • 4
    • 50149105426 scopus 로고    scopus 로고
    • An Optimal Technique for ECG Noise Reduction in Real Time Applications
    • M.M.Elena, J.M. Quero, I.Borrego, "An Optimal Technique for ECG Noise Reduction in Real Time Applications", Computer in Cardiology, Vol. 33, pp. 225-228, 2006
    • (2006) Computer in Cardiology , vol.33 , pp. 225-228
    • Elena, M.M.1    Quero, J.M.2    Borrego, I.3
  • 6
    • 34548035645 scopus 로고    scopus 로고
    • Maria del Mar Elena, Jose Manuel Quero, and Inmaculada Borrego, Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression, ETRI Journal, 29, pp. 530-532, August 2007.
    • Maria del Mar Elena, Jose Manuel Quero, and Inmaculada Borrego, "Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression", ETRI Journal, Vol. 29, pp. 530-532, August 2007.
  • 9
    • 85008016574 scopus 로고    scopus 로고
    • The What, How, and Why of Wavelet Shrinkage Denoising
    • C.Taswell, "The What, How, and Why of Wavelet Shrinkage Denoising", Computing in Science & Engineering, Vol. 2, pp. 12-19, 2000.
    • (2000) Computing in Science & Engineering , vol.2 , pp. 12-19
    • Taswell, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.