The book Biomedical Signal and Image Processing by Kayvan Najarian and Robert Splinter provides an in-depth exploration of signal and image processing techniques applied to biomedical data. It is an essential resource for senior undergraduate and first-year graduate students. Below is an overview:
Key Themes and Topics:
- Fundamentals of Signal and Image Processing:
- Covers foundational techniques in signal and image processing.
- Focuses on methods particularly relevant to biomedical data analysis.
- Biomedical Signal Applications:
- Discusses the processing of key biomedical signals, including:
- EEG (Electroencephalogram).
- ECG (Electrocardiogram).
- Discusses the processing of key biomedical signals, including:
- Biomedical Image Applications:
- Explores processing techniques for major biomedical imaging modalities such as:
- MRI (Magnetic Resonance Imaging).
- CT (Computed Tomography).
- Explores processing techniques for major biomedical imaging modalities such as:
- Technical Updates and Enhancements:
- Includes updated content in each chapter to reflect the latest advancements.
- Provides numerous examples, with a strong emphasis on MATLAB-based implementations.
New Features in This Edition:
- Technical Updates: Reflects advancements in biomedical signal and image processing techniques.
- Expanded Examples: Offers a larger collection of MATLAB-based examples to enhance practical understanding.
Audience:
- Students: Senior-level undergraduates and first-year graduate students in biomedical engineering, signal processing, or related fields.
- Researchers and Practitioners: Those working in biomedical data analysis or imaging research seeking practical tools and insights.
Significance:
- Practical Approach: Emphasizes real-world applications of signal and image processing techniques in the biomedical domain.
- Hands-On Learning: Extensive MATLAB examples enable readers to practice and implement the concepts.
- Comprehensive Coverage: Bridges the gap between fundamental theory and applications in biomedical signals and imaging.
This book is an excellent resource for students and professionals aiming to master signal and image processing techniques and apply them to solve challenges in biomedical research and healthcare.