Advances in Cardiac Signal Processing
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.
Why Read This Book
This book is useful if you want to see how DSP concepts are applied in a high-impact biomedical setting. It connects classical signal processing methods—filtering, feature extraction, and signal analysis—to real cardiac diagnostics and research problems, making it valuable for engineers who want practical, domain-specific examples.
Who Will Benefit
Best for biomedical engineers, electrical engineers, researchers, and graduate students working on ECG analysis, physiological signal processing, or medical instrumentation. It is also helpful for DSP practitioners interested in seeing how core algorithms are adapted for noisy, real-world biological signals.
Level: Intermediate — Prerequisites: Readers should be comfortable with basic digital signal processing, including sampling, filtering, spectral analysis, and time-domain signal interpretation. Some familiarity with physiology, ECG basics, or biomedical signal acquisition will help, though the book’s review-style structure should make it accessible to technically prepared readers.
Key Takeaways
- How ECG and related cardiac signals are acquired and preprocessed for analysis
- Filtering approaches used to remove noise and artifacts from physiological recordings
- Methods for measuring and interpreting heart rate variability
- Signal-processing techniques for estimating cardiovascular parameters such as aortic pressure
- Ways to assess cardiac mechanical function from signal-derived features
- A view of emerging research directions in cardiac signal processing and clinical monitoring
Topics Covered
- Introduction to Cardiac Signal Processing
- Cardiac Signal Acquisition and Instrumentation
- Electrocardiogram Signal Characteristics
- Noise Sources and Artifact Removal
- Filtering Techniques for Biomedical Signals
- Feature Extraction and Waveform Analysis
- Heart Rate Variability Analysis
- Aortic Pressure and Hemodynamic Signal Measurement
- Assessment of Left Ventricular Contractile Effort
- Clinical Applications and Diagnostic Support
- Emerging Trends in Cardiac Health Monitoring
- Future Directions in Cardiac Signal Processing
Languages, Platforms & Tools
How It Compares
Compared with general DSP texts, this book is far more application-specific and oriented toward biomedical problems rather than broad algorithm design. Compared with ECG-focused clinical references, it is more engineering-centered, emphasizing signal acquisition, processing methods, and analytical techniques rather than only diagnosis or physiology.
