Full Length Research Paper
References
Diab MO, El-Merhie A, El-Halabi N, Khoder L (2010). "Classification of uterine EMG signals using supervised classification method." J. Biomed. Sci. Eng. 3:837-842.
Crossref |
|
|
|
Diab MO, Marque C, Khalil MA (2007). "Classification for Uterine EMG Signals:
Comparison between AR Model and Statistical Classification Method." IJCC.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Hassan M, Terrien J, Alexandersson A, Marque C, Karlsson B (2010). "Nonlinearity of EHG signals used to distinguish active labor from normal pregnancy contractions," In Proceedings of the 32nd Annual International Conference of the IEEE EMBS: 31 August- 4 September 2010; Buenos Aires, Argentina.
|
|
|
|
|
|
|
|
|
|
|
|
Akay M (2001). Nonlinear biomedical signal processing. In dynamic analysis and modeling, IEEE Inc. New York. 2.
|
|
|
|
Naeem SM, Ali AF, Eldosoky MA (2013). "Comparison between Using Linear and Non-linear Features to Classify Uterine Electromyography Signals of Term and Preterm Deliveries," In Proceedings of the 30th National Radio
Science Conference NRSC: 16-18 April 2013; Cairo, Egypt. pp. 488-498.
|
|
|
|
|
|
|
|
Lee K (2010). File exchange – Mathworks. [Online]. Available: http://www.mathworks.com/matlabcentral/fileexchange/35784-sample-entropy.
|
|
|
|
Jovic A, Bogunovic N (2007). "Feature extraction for ECG time-series mining based on chaos theory," In Proceedings of the ITI 29th Int. Conf. on Information Technology Interfaces: 25-28June 2007; Cavtat, Croatia.
|
|
|
|
Packard NH, Cruchfield JP, Farmer JD, Shaw RS (1980). "Geometry from a Time Series," Physical Rev. Lett, 45:712-715.
|
|
|
|
Yung NK (2009). Singular Spectrum Analysis, Master's Thesis. University of California, Los Angeles.
|
|
Nielsen F (2001). Neural Networks – algorithms and applications, Niels Brock Business College
|
|
Goyal S, Goyal GK (2011). Cascade and Feed-forward Backpropagation rtificial Neural Network Models for Prediction of Sensory Quality of Instant Coffee Flavoured Sterilized Drink," Can. J. Artificial Intelligence, Mach. Learn. Pattern recognition.
|
Copyright © 2024 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0