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Diagnosis of Cardiac Signals (ECG) using The Wavelet Techniques

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Developments and Applications for ECG Signal Processing

signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range;

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ECG Made Easy

ECG Made Easy is a complete overview of ECG, examining its interpretation and resulting diagnosis, the possible causes of abnormalities and;

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ECG for Medical Diagnosis

practice. The final sections explain ECG interpretation and diagnosis of cardiac disorders. Enhanced by images of ECG readings, this new;

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Ecg Diagnosis

Medical, nursing, and allied health students need to master the fundamental aspects of ECG interpretation and diagnosis. The unique;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven;

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Master Visual Diagnosis of ECG

sections - Deep Analysis Section and Quick Diagnosis Section, giving trainees a strong foundation of the concept of ECG, and then an understanding;

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EEG-Based Diagnosis of Alzheimer Disease

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a;

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Pocket Guide to ECG Diagnosis

Following the highly successful model of the first edition, Pocket Guide to ECG Diagnosis, 2e describes every known common ECG;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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On Multi-Resolution Signal Decomposition Techniques

new wavelet decomposition technique using fast recursive generalised IIR filters. We have also proposed Oriented Laplacian Pyramid (OLP) using;

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ECG Diagnosis Made Easy

The reading of ECGs should be relatively straightforward since cardiac conditions are characterized by regular electrical patterns;

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Image Processing for Automated Diagnosis of Cardiac Diseases

diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion;

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Biomedical Signal Processing for Healthcare Applications

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions;

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ECG Complete

ECG Complete offers an uncomplicated but comprehensive account of all aspects of the ECG suitable for both the absolute beginner, as well;

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A Wireless Medical Surveillance System

system as its main theme. The system measures cardiac signals using two surface ECG leads from which individual heartbeats and pulse trends are;

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The ECG in Clinical Decision Making

Electrocardiogram (ECG) analysis is a valuable skill an is extremely useful in diagnosis, monitoring of disease progression and response to;

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Wavelet Analysis and Its Applications: An Introduction

is demonstrated using multiresolution analysis of wavelet in the book.;

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Wavelets in Neuroscience

spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches;

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Advanced Cardiac Imaging

are reconstructed using algorithms. Such CT techniques have facilitated the diagnosis of cardiac artery disease in a non-invasive way. MRI;

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Brain Seizure Detection and Classification Using EEG Signals

, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using;

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The ECG in Practice

text explains the variations in the patterns of ECGs which are seen in both healthy people as well as those with cardiac problems, and;

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The ECG In Practice

text explains the variations in the patterns of ECGs which are seen in both healthy people as well as those with cardiac problems, and;

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Discrete Fourier & Wavelet Transforms

and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains;

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Discrete Fourier and Wavelet Transforms

and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains;

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Interpreting Complex Arrhythmias: Part III, An Issue of Cardiac Electrophysiology Clinics

Interpreting Complex Arrhythmias. Topics include, but are not limited to: Simple and complex Arrhythmias; Standard ECG recording; Advanced cardiac;

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The ECG Made Easy

. A practical and highly informative guide to a difficult subject. Provides a full understanding of the ECG in the diagnosis and;

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