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- W3118471574 abstract "In the previous few decades, maximum number of the studies has been centered on the process of medical specialty indicators. Routine clinical exercise creates huge quantity of biomedical signals like ECG in the course of observance of sufferers and for diagnostic functions []. Thus, automatic process systems are oftentimes utilized in clinical records analysis. Advanced methods will modify and advances volumes of facts. The medical doctor terribly oftentimes must check a patient’s designation on the thought of analytical results in the course of examination. The coronary heart characteristic could also be analyzed through the electrocardiographic signal []. The popularity of ECG communication is predicated completely on its simplicity and non-invasiveness." @default.
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- W3118471574 date "2020-12-16" @default.
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- W3118471574 title "Design of Cardiovascular Disease Classification Using Wavelet Transform and Detection Using Neural Network" @default.
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- W3118471574 doi "https://doi.org/10.1007/978-981-15-8354-4_5" @default.
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