Automatic ECG characteristic analysis using wavelet packet transform

被引：0
|
作者：
Kusathitsiriphan, Wechit [1 ]
Yimman, Surapun [1 ]
Suwancheewasiri, Chaiyan [1 ]
Dejhan, Kobchai [1 ]
机构：
[1] King Mongkuts Inst Technol N Bangkok, Bangkok 10800, Thailand
来源：
2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3 | 2006年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper present the automatic ECG signal analysis by wavelet packet transform (WPT) along with signal squaring, window integration and frame creating to cover each cycle of ECG signal to ease the process to calculate the set on points, and set off points, and time intervals within QRS complexes, T waves and P waves. The results of QRS complex detection from automatic ECG analysis on 15 sets of ECG data from NUT-131H Arrhythmia with total number of 31,959 beats have shown that Selectivity Se = 99.79%, the Positive predictivety +P = 99.58% and the detection error DER = 0.632%.
引用
收藏
页码：338 / +
页数：3
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