PhysioNet 2010 Challenge: A robust multi-channel Adaptive filtering approach to the estimation of physiological recordings

Computing in Cardiology

Volumn 37, Issue , 2010, Pages 313-316

  Silva, Ikaro ^a,b  

^a HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FAST CONVERGENCE; LAGUERRE FILTER; MISSING DATA; MULTI-CHANNEL; ORIGINAL SIGNAL; PHYSIOLOGICAL RECORDINGS; PHYSIONET; PROBLEM DOMAIN; ROBUST APPROACHES; TARGET SIGNALS; TIME-VARYING WEIGHTS; WAVE FORMS;

ADAPTIVE FILTERS; CARDIOLOGY; ESTIMATION; FORECASTING; PHYSIOLOGY;

ADAPTIVE FILTERING;

EID: 79953806305     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. http://physionet.org/challenge/2010/
2. http://www.gnu.org/licenses/gpl.html
3. Fejzo Z, Lev-Ari L. Adaptive Laguerre-Lattice Filters. IEEE Transactions on Signal Processing 1997;45(12):3006-3016.
4. Moody G., Mark R., Zoccola A., Mantero S. Derivation of Respiratory Signals from Multi-lead ECGs. Computers in Cardiology 1985; 12:113-116. (Pubitemid 17485676)
5. Haykin S, Adaptive Filter Theory (Fourth Edition). Upper Sadle River, NJ: Prentice-Hall, 1990.