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Adaptive energy-aware real-time detection models for cardiac atrial fibrillation

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Date Issued:
2012
Summary:
Though several clinical monitoring ways exist and have been applied to detect cardiac atril fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical treatments are after the fact and costly. Current portable healthcare monitoring systems come in the form of Ambulatory Event Monitors. They are small, battery-operated electrocardiograph devices used to record the heart's rhythm and activity. However, they are not energy-aware ; they are not personalized ; they require long battery life, and ultimately fall short on delivering real-time continuous detection of arrhythmia and specifically progressive development of cardiac A-Fib. The focus of this dissertation is the design of a class of adaptive and efficient energy-aware real-time detection models for monitoring, early real-time detection and reporting of progressive development of cardiac A-Fib.... The design promises to have a greater positive public health impact from predicting A-Fib and providing a viable approach to meeting the energy needs of current and future real-time monitoring, detecting and reporting required in wearable computing healthcare applications that are constrained by scarce energy resources.
Title: Adaptive energy-aware real-time detection models for cardiac atrial fibrillation.
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Name(s): Bouhenguel, Redjem.
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Electronic Thesis Or Dissertation
Issuance: multipart monograph
Date Issued: 2012
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xiv, 192 p. : ill. (some col.)
Language(s): English
Summary: Though several clinical monitoring ways exist and have been applied to detect cardiac atril fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical treatments are after the fact and costly. Current portable healthcare monitoring systems come in the form of Ambulatory Event Monitors. They are small, battery-operated electrocardiograph devices used to record the heart's rhythm and activity. However, they are not energy-aware ; they are not personalized ; they require long battery life, and ultimately fall short on delivering real-time continuous detection of arrhythmia and specifically progressive development of cardiac A-Fib. The focus of this dissertation is the design of a class of adaptive and efficient energy-aware real-time detection models for monitoring, early real-time detection and reporting of progressive development of cardiac A-Fib.... The design promises to have a greater positive public health impact from predicting A-Fib and providing a viable approach to meeting the energy needs of current and future real-time monitoring, detecting and reporting required in wearable computing healthcare applications that are constrained by scarce energy resources.
Identifier: 827936106 (oclc), 3358332 (digitool), FADT3358332 (IID), fau:4017 (fedora)
Note(s): by Redjem Bouhenguel.
Thesis (Ph.D.)--Florida Atlantic University, 2012.
Includes bibliography.
Mode of access: World Wide Web.
System requirements: Adobe Reader.
Subject(s): Medical informatics
Medicine -- Data processing
Imaging systems in medicine -- Design and construction
Cardiovascular system -- Diseases -- Diagnosis
Bioinformatics
Held by: FBoU FAUER
Persistent Link to This Record: http://purl.flvc.org/FAU/3358332
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Owner Institution: FAU