id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_o632qjptwnb6pdz5sfk3z3jm6a	C LIN	Adaptive wavelet network for multiple cardiac arrhythmias recognition	2008	12	.pdf	application/pdf	5980	836	70	Adaptive wavelet network for multiple cardiac arrhythmias recognition This paper proposes a method for electrocardiogram (ECG) heartbeat detection and recognition using adaptive wavelet network The ECG beat recognition can be divided into a sequence of stages, starting with feature extraction from QRS complexes, to enhance the features from each heartbeat, and probabilistic neural network (PNN) performs the recognition tasks. Compared with conventional multi-layer neural networks, the test results also show accurate discrimination, fast learning, good Keywords: Electrocardiogram (ECG); Adaptive wavelet network (AWN); Cardiac arrhythmia; Morlet wavelet; Probabilistic neural network (PNN) To develop a diagnostic method for arrhythmia classification, signal analysis based on wavelet transform (WT) Subsequently, the PNN is an adaptive network with automatic tuning parameters and is used to classify cardiac arrhythmias. 212 (Goldberger et al., 2000) containing normal beats, pattern Vs, and pattern Rs, the results show that high accuracies of the proposed algorithm, as shown in Table 2.	./cache/work_o632qjptwnb6pdz5sfk3z3jm6a.pdf	./txt/work_o632qjptwnb6pdz5sfk3z3jm6a.txt