Research of Automatic QT Interval Detection Based on Morphological Method / 航天医学与医学工程

ABSTRACT

Objective To study and design a new algorithm of QT interval measurement based on multi-scale morphological derivative transform(MMDT) according to the demands of mobile monitoring platform.Methods After the MMDT of ECG signals by inducing a triangle and a short line as a pair of structure elements,they were classified into four types by their morphological characteristics and the optimal strategy for each type was described to detect the onset of Q-wave.By introducing the "wing" function,two referenced points of T peak were picked out,which was helpful to locate the peak and offset of T wave,and improve the precision and recognition rate of MMDT method when detecting the bifid T wave(90.9%)and biphasic T wave(86.7%).Results Eighty data records from CSE database were used to evaluate the availability.By contrast with the wavelet transform method,the statistical results showed that the proposed algorithm had generally less error and smaller standard deviation especially for abnormal-phase T wave.Conclusion Compared with those algorithms based on wavelet transform and self-adaptive threshold techniques,our algorithm needs less empirical parameters and calculation.It is also suitable for mobile monitoring and HOLTER system,and has a wide prospect of application.