R - Peak detection using Bayesian Regularization Neural Network

被引：0
|
作者：
Parihar, Nilesh [1 ]
机构：
[1] Bhartiya Inst Engn & Technol, ECE Dept, Sikar, Rajasthan, India
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION, INSTRUMENTATION AND CONTROL (ICICIC) | 2017年
关键词：
QRS DETECTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R peaks detection baseline wonder is removed to minimize the noise interference. We use Kaiser Windowing technique and automated Bayesian regularization neural network to learn the characteristics of QRS complex to detect R peaks. This algorithm detection performance is high with the sensitivity is 98.6% and positive Predictivity 98.64%.
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页数：3
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