Practical Signal and Image Processing in Clinical Cardiology / edited by Jeffrey J Goldberger, Jason Ng.

Springer eBooks

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.

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.

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