Heart beat detection method with estimation of regular intervals between ECG and blood pressure

Computing in Cardiology

Volumn 41, Issue January, 2014, Pages 561-564

  Yu, Jongmin ^a   Jeon, Taegyun ^a   Jeon, Moongu ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD PRESSURE; CARDIOLOGY; ELECTROCARDIOGRAPHY; HEART; LOCATION; SIGNAL DETECTION; SIGNAL PROCESSING;

ADAPTIVE FILTERING MODEL; CARDIAC ACTIVITY; ECG SIGNALS; EEG SIGNALS; HEART BEAT DETECTIONS; MULTI-MODAL DATA; QRS DETECTION; QRS DETECTOR;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84931437006     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. The PhysioNet/Computers in Cardiology Challenge 2014: Robust Detection of Heart Beats in Multimodal Data, http://physionet.org/challenge/2014.
2. Jinho P, Witold P, Moongu J. Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection. Biomed Eng Online 2012;11:1-22.
3. Devuyst S, Dutoit T, Stenuit P, Kerkhofs M, Stanus E. Removal of ECG artifacts from EEG using a modified independent component analysis approach. Conf Proc IEEE Eng Med Biol Soc 2008;1:5204-7.
4. Singh G, Singh C. Estimation of coherence between ECG signal and EEG signal at different heart rates and respiratory rates. Int J Eng Innov Technol 2012; I: 159-163.
5. Agustina Garces Correa M, Eric L. Noise removal from EEG signals in polisomnographic records applying adaptive filters. In: Lino Garcia. Adaptive Filtering Applications. Croatia: InTech, 2011 : 173-196, Available from: http://www.intechopen.com/books/adaptive-filteringapplications/noise-removal-from-eeg-signals-inpolisomnographic-records-applying-adaptive-filters-incascade