A robust QRS complex detection algorithm using dynamic thresholds

Proceedings - International Symposium on Computer Science and Its Applications, CSA 2008

Volumn , Issue , 2008, Pages 153-158

  Elgendi, Mohamed ^a   Mahalingam, Sivaram ^a   Jonkman, Mirjam ^a   De Boer, Friso ^a  

^a CHARLES DARWIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL SHIFT; COMPLEXATION; COMPUTER SCIENCE; COMPUTERS; ELECTRIC CURRENTS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; MAGNETIC ANISOTROPY; SIGNAL ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO;

DETECTION RATES; DYNAMIC THRESHOLDS; ECG RECORDINGS; ECG SIGNALS; GENERIC ALGORITHMS; MIT-BIH DATABASES; NEW ALGORITHMS; PREDICTIVITY; QRS COMPLEX DETECTIONS; QRS COMPLEXES; QRS DETECTIONS; SIGNAL-TO-NOISE RATIOS;

ALGORITHMS;

EID: 56849098879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSA.2008.16     Document Type: Conference Paper

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