NDLI: Sudden cardiac death prediction using ECG signal derivative (Heart Rate Variability): A review

Content Provider	IEEE Xplore Digital Library
Author	Murukesan, L. Murugappan, M. Iqbal, M.
Copyright Year	2013
Description	Author affiliation: Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Pauh Putra, Malaysia (Murukesan, L.; Murugappan, M.; Iqbal, M.)
Abstract	Sudden cardiac death (SCD) prediction using Electrocardiogram (ECG) signal is a popular area of research because of the seriousness of the matter. There are tons of papers published in this research which available online. Severe importance for prediction and recent development of new algorithms fuels this research further. There are numerous methods to detect or predict SCD based on Heart Rate Variability (HRV), T-Wave Alternans (TWA), Heart Rate Turbulence (HRT), Signal Averaged Electrocardiogram (SA-ECG), Data Mining, and Non Linear Analysis to state few. Researchers favors statistical analysis over other classifier (Neural network, KNN etc.,) based methods since it gives more perspective to the research findings. Various statistical methods like Kaplan-Meier method, t-test, Mann-Whitney U test, Wilk's Lambda test were carried out to describe correlation between ECG derived parameters (HRV, TWA, HRT etc.,) and SCD. Even though there are many papers published, none of them are clinically practicable because of its own limitations. In this review, we would see methods and techniques based on HRV used by researchers in order to detect and predict sudden cardiac death.
Sponsorship	IEEE Malaysia Sect. CS Chapter
Starting Page	269
Ending Page	274
File Size	306490
Page Count	6
File Format	PDF
ISBN	9781467356084
e-ISBN	9781467356091
DOI	10.1109/CSPA.2013.6530054
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Artificial neural networks Electrocardiography Feature extraction Electrocardiogram (ECG) sudden cardiac death (SCD) Heart rate variability Time-domain analysis HRV
Content Type	Text
Resource Type	Article

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