Machine learning approach for fetal QRS complexes detection
Author: Gamberger Dragan, Krstai Goran
Journal: Cardiometry @cardiometry
Section: Extended abstract
Article in issue: 4, 2014.
Free access
Ecg signals, fetal qr, random rules algorithm, pattern recognition
Short address: https://sciup.org/148308772
ID: 148308772 | DOI: 10.12710/cardiometry.2014.4.145
References Machine learning approach for fetal QRS complexes detection
- Pfahringer, B., Holmes, G., Wang, C. (2004). Millions of random rules. In Proc. of the Workshop on Advances in Inductive Rule Learning, 15th European Conference on Machine Learning (ECML), Pisa, 2004.
- Physionet Challenge 2013: Noninvasive Fetal ECG(http://www.physionet.org/challenge/2013).
