Abstract
ECG annotation has been studied for decades for the development of signal processing techniques and artificial intelligence methods. In this chapter, the general technique roadmaps of ECG beat annotation (classification) are reviewed. The deep neuro network methods are introduced after the mention of supervised and unsupervised learning methods as well as the deep belief networks. A preliminary study on deep learning application in ECG classification is proposed in this chapter, which leads to better results and has a high potential both for performance improvement and unsupervised learning applications.
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