Compressed Sensing and Classification of Cardiac Beats using Patient Specific Dictionaries

被引：0
|
作者：
Fira, Monica [1 ]
Goras, Liviu [1 ,2 ]
Maiorescu, Victor-Andrei [1 ,2 ]
Luca, Mihaela Catalina [1 ,3 ]
机构：
[1] Romanian Acad, Inst Comp Sci, Iasi, Romania
[2] Gheorghe Asachi Tech Univ Iasi, Iasi, Romania
[3] Univ Med & Pharm, Iasi, Romania
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH (ICT4AWE) | 2016年
关键词：
ECG; Compressed Sensing; Classification;
D O I：
10.5220/0005793401730179
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigated the benefits of compressed acquisition for monitoring applications of patients with various heart diseases. The possibility of heartbeat acquisition followed by classification into one of two classes, namely, normal beats or pathological has been approached using patient-specific dictionaries. Moreover, several types of projection matrices (matrices with random i.i.d. elements sampled from the Gaussian or Bernoulli distributions, and matrices optimized for the particular dictionary used in reconstruction by means of appropriate algorithms) have been compared. The dictionaries used in the reconstruction phase were built with and without centred R waves.
引用
收藏
页码：173 / 179
页数：7
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