A simple real-time QRS detection algorithm utilizing curve-length concept with combined adaptive threshold for electrocardiogram signal classification

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2012, Pages

  Lewandowski, Jacek ^a   Arochena, Hisbel E ^a   Naguib, Raouf N G ^a   Chao, Kuo Ming ^a  

^a Faculty of Engineering and Computing   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE THRESHOLDS; DAILY ACTIVITY; DETECTION ACCURACY; ELECTROCARDIOGRAM SIGNAL CLASSIFICATIONS; HOLTER MONITORING; NUMBER OF METHODS; PEAK-TO-PEAK; QRS DETECTION; QRS DETECTION ALGORITHMS; QRS DETECTOR; STANDARD DEVIATION; STANDARD PROCEDURES; THRESHOLD PARAMETERS;

DETECTORS; ELECTROCARDIOGRAPHY; PLANNING; SUSTAINABLE DEVELOPMENT;

SIGNAL DETECTION;

EID: 84873977790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2012.6412176     Document Type: Conference Paper

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