Practical Signal and Image Processing in Clinical Cardiology
(Sprache: Englisch)
Written for cardiologists, this overview provides a basic understanding of digital signals used to extract information. Digital signal processing is applied to clinical procedures such as surface electrocardiography, enhancing the precision, accuracy and speed of data analysis.
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Produktdetails
Produktinformationen zu „Practical Signal and Image Processing in Clinical Cardiology “
Written for cardiologists, this overview provides a basic understanding of digital signals used to extract information. Digital signal processing is applied to clinical procedures such as surface electrocardiography, enhancing the precision, accuracy and speed of data analysis.
Klappentext zu „Practical Signal and Image Processing in Clinical Cardiology “
Modern signal and image acquisition systems used in the field of cardiology acquire, analyze, and store data digitally. Surface electrocardiography, intra-cardiac electrogram recording, echocardiograms, x-ray, magnetic resonance imaging, and computed tomography are among the modalities in the cardiology field where signal processing is applied. Digital signal processing techniques allow us to automate many of the analyses that had previously been done manually with greater precision, accuracy and speed, as well as detect features and patterns in data that may be too subtle to observe by eye. As more cardiologists are becoming more reliant on such technology, a basic understanding of digital signals and the techniques used to extract information from these signals are required.
Inhaltsverzeichnis zu „Practical Signal and Image Processing in Clinical Cardiology “
Fundamental Signal and Image Processing Concepts.- Architecture of the Basic Physiologic Recorder.- Analog and Digital Signals.- Signals in the Frequency Domain.- Filters.- Techniques for Event and Feature Detection.- Alternative Techniques for Rate Estimation.- Signal Averaging for Noise Reduction.- Data Compression.- Image Processing.- Cardiology Applications.- Electrocardiography.- Intravascular and Intracardiac Pressure Measurement.- Blood Pressure and Pulse Oximetry.- Coronary Angiography.- Echocardiography.- Nuclear Cardiology: SPECT and PET.- Magnetic Resonance Imaging.- Computed Tomography.- ECG Telemetry and Long Term Electrocardiography.- Intracardiac Electrograms.- Advanced Signal Processing Applications of the ECG: T-Wave Alternans, Heart Rate Variability, and the Signal Averaged ECG.- Digital Stethoscopes.
Autoren-Porträt
The book authors have a unique combination of clinical cardiology and engineering expertise. Jeffrey Goldberger, M.D., Cardiac Electrophysiologist at Northwestern University Feinberg School of Medicine, has had extensive research experience using signal processing to study the heart. Jason Ng, Ph.D., Research Assistant Professor at the Feinberg School of Medicine, has an electrical engineering background and specializes in signal processing in cardiology.
Bibliographische Angaben
- 2014, 2010, XV, 400 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jeffrey J Goldberger, Jason Ng
- Verlag: Springer, Berlin
- ISBN-10: 144715732X
- ISBN-13: 9781447157328
Sprache:
Englisch
Rezension zu „Practical Signal and Image Processing in Clinical Cardiology “
From the reviews:"This is a review of the technical aspects of signal processing and its application to various areas of cardiology. ... It is intended for cardiologists, physicians in training, and students interested in the basics of signal processing. ... This well-organized book provides readers with a clearer understanding of signal processing and data acquisition related to cardiovascular imaging." (Amit Prasad, Doody's Review Service, March, 2011)
Pressezitat
From the reviews:"This is a review of the technical aspects of signal processing and its application to various areas of cardiology. ... It is intended for cardiologists, physicians in training, and students interested in the basics of signal processing. ... This well-organized book provides readers with a clearer understanding of signal processing and data acquisition related to cardiovascular imaging." (Amit Prasad, Doody's Review Service, March, 2011)
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