Blind Separation of Maternal and Fetal ECG’s using any Number of Channels
نویسنده
چکیده
Abstract— In this paper we report on the separation of maternal and fetal heartbeats from electrocardiogram (ECG) recordings based on a sparse generative signal model. The proposed algorithm uses Bayesian learning strategies to both learn the characteristic PQRST complexes and then infer their time location. Reconstruction of the signal based on each of the learned PQRST complexes leads to a separation of the maternal and fetal heartbeats. The method is flexible and can be used for single and multiple channel recordings. The extracted information is valuable for medical diagnostics, offering the fetal and maternal heart rate as well as the PQRST complexes from which diagnostic information such as pathological PQRST shapes become evident.
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