A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression
نویسندگان
چکیده
منابع مشابه
A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder (SAE) and softmax regression (SR) classifier was used to differentiate PVCs from other common Non-PVC rhythms, including normal sinus (N), left bu...
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ژورنال
عنوان ژورنال: Bio-Medical Materials and Engineering
سال: 2015
ISSN: 1878-3619,0959-2989
DOI: 10.3233/bme-151454