£108.00

Springer - Advances in Cardiac Signal Processing Book

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Description

Explore the intersection of high-performance computing and healthcare in Advances in Cardiac Signal Processing. This text examines how modern computational tools assist clinicians in the diagnosis and treatment of heart conditions. As high-performance computing continues to benefit various disciplines, the field of healthcare utilizes these advancements to solve complex medical problems. The book focuses on the application of signal processing and data mining tools to enhance computational capabilities. A significant portion of the study centers on the electrocardiogram (ECG), a vital signal that provides essential information regarding heart health. By analyzing the shape and size of the P-QRS-T wave and the specific time intervals between various peaks, researchers and medical professionals can gain a deeper understanding of the nature of diseases affecting the heart. This resource is designed for those studying the integration of computer science and medical diagnostics.

Key Features

Examines how high-performance computing provides practical solutions for modern healthcare challenges.

Covers the application of signal processing and data mining tools to assist in clinical diagnosis and treatment.

Provides detailed information on the electrocardiogram (ECG) as a primary signal for heart condition monitoring.

Analyzes the significance of P-QRS-T wave shapes and sizes in identifying cardiac issues.

Explains how time intervals between peaks in cardiac signals contain vital data about disease states.

Connects computer science disciplines with medical signal analysis for better diagnostic outcomes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2010
Listed Since
14 June 2010

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No barcode data available

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