Self-powered SoC platform for analysis and prediction of cardiac arrhythmias 1st ed.

Author

• Saleh, Hani

Additional Author(s)

• Bayasi, Nourhan
• Mohammad, Baker
• Ismail, Mohammed

Publisher

Cham: Springer International Publishing, 2018

Language

English

ISBN

9783319639734

Series

Analog Circuits and Signal Processing

Subject(s)

• CARDIOVASCULAR INSTRUMENTS, IMPLANTED
• HEART RATE MONITORING
• MICROPROCESSORS

Notes

. .

Abstract

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. Provides a full overview of ECG signal processing basics and contemporary advances in the field; Introduces a new set of novel ECG signal features for automated ECG signal analysis; Enables readers to invent new ECG signal features and determine if they can be effective in predicting or diagnosing cardiac arrhythmias and related disorders; Demonstrates results, supported by silicon validation and real-chip tape-outs.

Physical Dimension

Number of Page(s)

1 online resource (xvi, 74 p.)

Dimension

-

Other Desc.

ill.

Summary / Review / Table of Content

Introduction --
Literature Review --
System Design and Development --
Hardware Design and Implementation --
Performance and Result --
Conclusions --
Bibliography --
Index.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00672/20	618.320754 Sal S	Online !	Available