Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system.
Expert Systems with Applications(2018)
摘要
•New methodology based on single lead and analysis of longer (10-s) ECG signal fragments is proposed.•New training based on genetic algorithm coupled with 10-fold cross-validation is employed.•17 classes: normal sinus rhythm + pacemaker rhythm + 15 cardiac disorders are recognized.•New feature extraction and selection based on PSD, DFT and GA are employed.•Recognition sensitivity at a level of 90.20% (98 errors per 1000 classifications) is promising.
更多查看译文
关键词
ECG,Biomedical signal processing and analysis,Classification,Machine learning algorithms,Neural networks,Support vector machine,K-nearest neighbor algorithm,Evolutionary-neural system,Genetic algorithm,Feature extraction and selection,Discrete Fourier transform
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络