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Cardiac Arrhythmias, Pacing & Electrophysiology

Cardiac Arrhythmias, Pacing & Electrophysiology
Author: P.E. Vardas
Publisher: Springer Science & Business Media
Total Pages: 461
Release: 2012-12-06
Genre: Medical
ISBN: 9401152543

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Europace '97 was held in Athens, Greece, on 8-11 June Leads were, as usual, an important topic, with the earl 1997 in the city of classical civilisation and learning. iest mention of the then-new polyurethane leads. Future Though now held in modem surroundings and meeting conferences elaborated on these basic topics while pro facilities, the influence of the ancient city-state was un gressively adding sensors and sensor function, dual mistakable, with the architecture and learning of antiquity chamber pacing, and recognising the development of looming over the city, by its influence over the intellectual clinical cardiac electrophysiology. activities of the symposium. The ancient magnificence of Clinical cardiac electrophysiology and compre the site was matched by the novelty of modem art and hension of arrhythmias has been largely a development science, Europace is a European symposium, begun in of the twentieth century. With the description and 1979, and has occurred every second year since. Con recording of the bundle of His depolarisation, by direct sistent with its importance and continental reach the actual access and by catheter, modem clinical investigation of symposium has moved to different cities throughout arrhythmias and cardiac electrophysiology began. The Western Europe. The first symposium was held in London disciplines of cardiac stimulation and of investigation of and subsequent symposia have been held in Torremolinos, arrhythmias, impulse formation and A V conduction Ostend, Florence, Istanbul and other cities. Because of the were essentially separate for many years.


Time-frequency Analysis of Intracardiac Electrogram

Time-frequency Analysis of Intracardiac Electrogram
Author: Erik Brockman
Publisher:
Total Pages: 39
Release: 2009
Genre: Arrhythmia
ISBN:

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The Cardiac Rhythm Management Division of St. Jude Medical specializes in the development of implantable cardioverter defibrillators that improve the quality of life for patients diagnosed with a variety of cardiac arrhythmias, especially for patients at risk of sudden cardiac death. With the goal to improve detection of cardiac arrhythmias, this study explored the value in time-frequency analysis of intracardiac electrogram in four steps. The first two steps characterized, in the frequency domain, the waveforms that construct the cardiac cycle. The third step developed a new algorithm that putatively provides the least computationally expensive way to identifying cardiac waveforms in the frequency domain. Lastly, this novel approach to analyzing intracardiac electrogram was compared to a threshold crossing algorithm that strictly operates in the time domain and that is currently utilized by St. Jude Medical. The new algorithm demonstrated an equally effective method in identifying the QRS complex on the ventricular channel. The next steps in pursing time-frequency analysis of intracardiac electrogram include implementing the new algorithm on a testing platform that emulates the latest implantable cardioverter defibrillator manufactured by St. Jude Medical and pursuing a similar algorithm that can be employed on the atrial channel.


Advances in Cardiac Signal Processing

Advances in Cardiac Signal Processing
Author: U. Rajendra Acharya
Publisher: Springer Science & Business Media
Total Pages: 478
Release: 2007-04-25
Genre: Technology & Engineering
ISBN: 354036675X

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This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.


Data Mining in Biomedical Imaging, Signaling, and Systems

Data Mining in Biomedical Imaging, Signaling, and Systems
Author: Sumeet Dua
Publisher: CRC Press
Total Pages: 434
Release: 2016-04-19
Genre: Computers
ISBN: 1439839395

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This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems. Written by experts in the field, it presents data mining techniques in the context of various important clinical issues, including diagnosis and grading of depression, identification and classification of arrhythmia and ischemia, and description of classification paradigms for mammograms. The book provides ample information and techniques to benefit researchers, practitioners, and educators of biomedical science and engineering.


Real-Time Arrhythmia Detection Using Convolutional Neural Network

Real-Time Arrhythmia Detection Using Convolutional Neural Network
Author: Thong Nguyen Vu
Publisher:
Total Pages: 0
Release: 2021
Genre: Arrhythmia
ISBN:

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Arrhythmia, defined as conditions related to abnormal rhythm of the heart, has become one of the leading cause of death in the United States. Currently, the most common diagnostic method of arrhythmia is through the analysis of an electrocardiogram (ECG or EKG) by a medical personnel. This method can be time-consuming as an entire ECG recording may be several minutes long. In this thesis, we present the study into real-time arrhythmic detection using neural networks. Most existing studies either look into arrhythmia classification but not in real-time, or propose a real-time method that does not have an in depth real-time analysis of the run time. We develop a simple convolutional neural network, which takes images of ECG segments as input, and classifies the arrhythmia conditions. One of the limitation of an image-based approach is that, for a time-series dataset, is not the most efficient method for classification. We carry out extensive experiments and evaluated the computational cost of each step of the classification workflow, and our result shows real-time arrhythmic detection using neural network is indeed possible. To further demonstrate the flexibility of this approach, we used the trained model with processed data collected by a customized wearable sensor from a lab setting, and the result shown that the model is highly accurate and efficient.


World Congress of Medical Physics and Biomedical Engineering 2006

World Congress of Medical Physics and Biomedical Engineering 2006
Author: Sun I. Kim
Publisher: Springer Science & Business Media
Total Pages: 4361
Release: 2007-07-05
Genre: Technology & Engineering
ISBN: 3540368418

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These proceedings of the World Congress 2006, the fourteenth conference in this series, offer a strong scientific program covering a wide range of issues and challenges which are currently present in Medical physics and Biomedical Engineering. About 2,500 peer reviewed contributions are presented in a six volume book, comprising 25 tracks, joint conferences and symposia, and including invited contributions from well known researchers in this field.


Applications of Machine Learning

Applications of Machine Learning
Author: Prashant Johri
Publisher: Springer Nature
Total Pages: 404
Release: 2020-05-04
Genre: Technology & Engineering
ISBN: 9811533571

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This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.