| Title |
Novel feature extraction technique based on ranks of Hankel matrices with application for ECG analysis / |
| Authors |
Orinaitė, Ugnė ; Landauskas, Mantas |
| DOI |
10.21595/mme.2021.22138 |
| Full Text |
|
| Is Part of |
Mathematical models in engineering.. Kaunas : JVE International. 2021, vol. 7, iss. 2, p. 40-49.. ISSN 2351-5279. eISSN 2424-4627 |
| Keywords [eng] |
Hankel matrix ; ECG ; feature extraction ; CNN ; ResNet |
| Abstract [eng] |
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. |
| Published |
Kaunas : JVE International |
| Type |
Journal article |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
