Heart rate variability discovery: Algorithm for detection of heart rate from noisy, multimodal recordings

Computing in Cardiology

Volumn 41, Issue January, 2014, Pages 253-256

  Gierałtowski, Jan J ^a   Ciuchciński, Kamil ^a   Grzegorczyk, Iga ^a   Kos̈na, Katarzyna ^a   Soliński, Mateusz ^a   Podziemski, Piotr ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLOOD PRESSURE; CARDIOLOGY; ELECTROCARDIOGRAPHY; SIGNAL DETECTION;

AUTOMATIC ANALYSIS; BLOOD PRESSURE SIGNALS; HEART RATE VARIABILITY; HEART RATE VARIABILITY ANALYSIS; MULTI-CHANNEL RECORDING; PHYSIOLOGICAL SIGNALS; R-PEAK DETECTION; RELIABLE RESULTS;

HEART;

EID: 84931321842     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology Heart Rate Variability Standards of Measurement, Physiological Interpretation, and Clinical Use, Circulation. 1996;93: 1043-65.
2. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, 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 2000; 101 :e215-e220.
3. Podziemski P, Gieraltowski J. Fetal heart rate discovery: algorithm for detection of fetal heart rate from noisy, noninvasive fetal ECG recordings. Com put. Cardiol 2013;40;333-6.