Cognitive state recognition using wavelet singular entropy and ARMA entropy with AFPA optimized GP classification
Authors:
- Zhengxiang CaiZCZhengxiang Cai
- Qi WuQWQi Wu
- Dan HuangDHDan Huang
- Lu DingLDLu Ding
- Biting YuBYBiting Yu
- Rob LawRLRob Law
- Jiayang HuangJHJiayang Huang
- Shan FuSFShan Fu
- 1 July 2016
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 197, 29-44
Abstract
No abstract availableKeywords
This publication has 43 references indexed in Scilit:
- An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networksNeurocomputing, 2013
- ECG beat classification using particle swarm optimization and radial basis function neural networkExpert Systems with Applications, 2010
- A qualitative comparison of Artificial Neural Networks and Support Vector Machines in ECG arrhythmias classificationExpert Systems with Applications, 2010
- Human action recognition by feature-reduced Gaussian process classificationPattern Recognition Letters, 2009
- SVM-based algorithm for recognition of QRS complexes in electrocardiogramIRBM, 2008
- ECG beat classifier designed by combined neural network modelPattern Recognition, 2005
- Physiological workload reactions to increasing levels of task difficultyErgonomics, 1998
- Metabolic and cardiorespiratory measures of mental effort: the effects of level of difficulty in a working memory taskInternational Journal of Psychophysiology, 1994
- A theory for multiresolution signal decomposition: the wavelet representationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- The singular value decomposition: Its computation and some applicationsIEEE Transactions on Automatic Control, 1980