Arrhythmia Foetus Heartbeat Detection Using Optimized Neural Network Based on Phonocardiograph Ensemble Feature and Principal Component Analysis
Abstract:High-risk maternal health condition is alarming, especially in developing countries. Intensive monitoring is mandatory to prevent such issue. However, the long-term invasive method to pregnant women harms both the baby and the mother. In this research, we proposed a cost-efficient non-invasive foetal heartbeat classification based on a phonocardiograph with feature assembly. Since the high number of features and computationally expensive, we cut the size to half by utilizing Principal Component Analysis. Furth… Show more
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