Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
| Author: | Baker Mohammad, Mohammed Ismail, Nourhan Bayasi, Hani Saleh | ISBN: | 9783319639734 |
| Publisher: | Springer International Publishing | Publication: | October 20, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | Baker Mohammad, Mohammed Ismail, Nourhan Bayasi, Hani Saleh |
| ISBN: | 9783319639734 |
| Publisher: | Springer International Publishing |
| Publication: | October 20, 2017 |
| Imprint: | Springer |
| Language: | English |
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.
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.
