Springer Nature
Self-Powered Soc Platform For Analysis And Prediction Of Cardiac Arrhythmias
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MarcaSpringer Nature
CondizioneNuovo
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This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
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