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

被引：0

作者：

Przystup, Piotr ^{[1
]}

Przystup, Anna ^{[2
]}

Bujnowski, Adam ^{[1
]}

Wtorek, Jerzy ^{[1
]}

机构：

[1] Gdansk Univ Technol, Dept Biomed Engn, Gdansk, Poland

[2] Med Univ Gdansk, Gdansk, Poland

来源：

2014 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA) | 2014年

关键词：

sudden cardiac death; ventricular fibrillation; principal component analysis; spectrogram; SUDDEN CARDIAC DEATH; T-WAVE ALTERNANS; DURATION;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：649 / 653

页数：5

共 15 条

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