ECG-based prediction of ventricular fibrillation by means of the PCA

Author

Przystup, Piotr ; Przystup, Anna ; Bujnowski, Adam ; Wtorek, Jerzy

Author_Institution

Dept. of Biomed. Eng., Gdansk Univ. of Technol., Gdansk, Poland

fYear

2014

fDate

11-12 June 2014

Firstpage

1

Lastpage

5

Abstract

A Sudden Cardiac Death (SCD) is a death resulting from cardiac failure with no significant symptoms earlier than one hour before occurrence. It is the cause of for approximately 400000 deaths per year in United States and millions of deaths worldwide. The proposed system, including two-stage algorithm and wearable diagnostic device allows for SCD risk estimation and continuous monitoring of high risk patients. A single channel of the ECG is analyzed. A classification of the patients into normal and high risk group is based on the evaluation of a QRS complex by means of the PCA. The algorithm has been tested using Sudden Cardiac Death Holter Database.

Keywords

bioelectric potentials; diseases; electrocardiography; medical signal processing; patient monitoring; principal component analysis; QRS complex evaluation; SCD risk estimation; electrocardiography; high risk patient monitoring; principal component analysis; sudden cardiac death Holter database; two-stage algorithm; ventricular fibrillation; wearable diagnostic device; Classification algorithms; Databases; Electrocardiography; Fibrillation; Heart; Monitoring; Principal component analysis; principal component analysis; spectrogram; sudden cardiac death; ventricular fibrillation;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on

Conference_Location

Lisboa

Print_ISBN

978-1-4799-2920-7

Type

conf

DOI

10.1109/MeMeA.2014.6860142

Filename

6860142