A new ECG enhancement algorithm for stress ECG tests

Computers in Cardiology

Volumn 33, Issue , 2006, Pages 917-920

  Blanco Velasco, Manuel ^a   Weng, B ^b   Barner, K E ^b  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; ELECTROCARDIOGRAPHY; SINGULAR VALUE DECOMPOSITION; STRESSES;

BASELINE WANDER; CLINICAL EVALUATION; ELECTROMYOGRAM; EMPIRICAL MODE DECOMPOSITION; HIGH-FREQUENCY NOISE; INDUCED NOISE; MECHANICAL FORCES; POWER LINES;

ELECTROCHROMIC DEVICES;

EID: 38049023855     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Afonso VX, Tompkins WJ, Nguyen TQ, Michler K, Luo S. Comparing stress ECG enhancement algorithms. IEEE Eng Med Bio May-June 1996;15(3):37-44.
2. Tikkanen PE. Nonlinear wavelet and wavelet packet denoising of electrocardiogram signal. Biological Cybernetics April 1999;80(4):259-267.
3. Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH. The empirical mode decomposition and hilbert spectrum for nonlinear and nonstationary time series analysis. Proc R Soc Lond 1998;454:903-995.
4. Liang H, Lin QH, Chen JDZ. Application of the empirical mode decomposition to the analysis of esophageal manometric data in gastroesophageal reflux disease. IEEE T BioMed Eng October 2005;52(10):1692-1701.
5. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation June 2000;101(23):215-220.