P Wave Demarcation in Electrocardiogram

M Elgendi; Mirjam Jonkman; Friso De Boer

P Wave Demarcation in Electrocardiogram

M Elgendi, Mirjam Jonkman, Friso De Boer

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MITIBIH Arrhythmia Database resulting in 0.72% incorrectly detected P waves.

Original language	English
Title of host publication	Bioengineering, Proceedings of the Northeast Conference
Editors	A Gupta
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	-
Number of pages	2
ISBN (Print)	9781424443628
Publication status	Published - 2009
Event	35th Annual Northeast Bioengineering Conference - Boston, Massachusetts Duration: 3 Apr 2009 → 5 Apr 2009

Conference

Conference	35th Annual Northeast Bioengineering Conference
Period	3/04/09 → 5/04/09

Cite this

@inproceedings{f59334ede99543cfbba9f9095dd39413,

title = "P Wave Demarcation in Electrocardiogram",

abstract = "Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MITIBIH Arrhythmia Database resulting in 0.72\% incorrectly detected P waves.",

keywords = "Computationally efficient, ECG signals, Feature extraction algorithms, Feature extractor, P waves, Algorithms, Electrocardiography, Electrochromic devices, Feature extraction",

author = "M Elgendi and Mirjam Jonkman and \{De Boer\}, Friso",

year = "2009",

language = "English",

isbn = "9781424443628",

pages = "--",

editor = "A Gupta",

booktitle = "Bioengineering, Proceedings of the Northeast Conference",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "35th Annual Northeast Bioengineering Conference ; Conference date: 03-04-2009 Through 05-04-2009",

}

TY - GEN

T1 - P Wave Demarcation in Electrocardiogram

AU - Elgendi, M

AU - Jonkman, Mirjam

AU - De Boer, Friso

PY - 2009

Y1 - 2009

N2 - Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MITIBIH Arrhythmia Database resulting in 0.72% incorrectly detected P waves.

AB - Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MITIBIH Arrhythmia Database resulting in 0.72% incorrectly detected P waves.

KW - Computationally efficient

KW - ECG signals

KW - Feature extraction algorithms

KW - Feature extractor

KW - P waves

KW - Algorithms

KW - Electrocardiography

KW - Electrochromic devices

KW - Feature extraction

M3 - Conference Paper published in Proceedings

SN - 9781424443628

SP - -

BT - Bioengineering, Proceedings of the Northeast Conference

A2 - Gupta, A

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 35th Annual Northeast Bioengineering Conference

Y2 - 3 April 2009 through 5 April 2009

ER -

P Wave Demarcation in Electrocardiogram

Abstract

Conference

Fingerprint

Cite this