Novel feature extraction technique based on ranks of Hankel matrices with application for ECG analysis

Mathematical Models in Engineering

Ugnė Orinaitė¹  Mantas Landauskas¹ 

[1] Department of Mathematical Modelling, Faculty of Mathematics and Natural Sciences, Kaunas University of Technology, Kaunas, Lithuania;

关键词: hankel matrix;    ecg;    feature extraction;    cnn;    resnet;   

DOI  :  10.21595/mme.2021.22138

来源: DOAJ

【 摘 要 】

A novel feature extraction technique is presented in this paper. The term H-rankgram is coined here due to the similarity in concept with other feature extraction methods like spectrogram. The H-rankgram is two-dimensional feature pattern which shows the change in algebraic complexity (measured using ranks of Hankel matrices) of a given signal at a different scale in time (estimated using phase space reconstruction with different time lags). In general feature extraction techniques could be classified into two broad types: time domain and frequency domain. The proposed technique fits into the first one. The proof of concept for the technique to detect changes in the signal was explained and an effect of additive noise was tested. Application of the technique was demonstrated to classify ECG signals for healthy and ill patients. The results shows that Myocardial infarction is detected most accurately although there is high imbalance in classification accuracy between the classes.

【 授权许可】

Unknown