Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
Nourhan Bayasi, Hani Saleh, Baker Mohammad, et al.
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ca. 96,29 €
Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik
Beschreibung
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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Schlagwörter
prediction of VT/Vf, Circuits for Remote healthcare, ECG remote processing, ECG Data Analysis, ECG Signal Processing, Classification and Interpretation, Prediction of cardiac arrhythmias