Title :
Automatic Detection of T-Wave End in ECG Signals
Author :
Shuo, Yang ; Desong, Bian
Author_Institution :
Coll. of Precision Instrum. & Opto-Electron. Eng., TianJin Univ., Tianjin
Abstract :
In this paper, we describe a modified algorithm based on the multi-scale morphological derivative (MMD) transform. By introducing the ´wing´ function and by delineating the time interval over which the location of the T-wave end are searched, the T wave pattern and T wave length can be determined. According to the different lengths of T waves, different scales are calculated to perform the MMD transform. According to our experiments, we find the formula to calculate the transform scales which is significant for the MMD detector processing lots of signals with various waveforms effectively in real time system.
Keywords :
electrocardiography; medical signal detection; transforms; ECG signals; T-wave end; automatic detection; detector processing; multiscale morphological derivative transform; Detectors; Educational institutions; Electrocardiography; Filtering; Heart rate interval; Information technology; Instruments; Noise shaping; Shape measurement; Signal processing;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.260
