Biomedical Signal Processing 1st Edition

Capture immediate relevance with Biomedical Signal Processing, 1st Edition by Ganesh R. Naik — a practical, clearly written guide that brings signal theory into real-world biomedical applications.

This book introduces core concepts of biomedical signal processing with clarity and precision. Beginning with fundamentals such as sampling, noise reduction, and digital filtering, it progresses to essential techniques for ECG, EEG and EMG analysis, feature extraction, time–frequency methods, and signal classification. Carefully structured chapters, illustrative examples and real-data case studies make complex topics accessible to students, clinicians and practicing engineers.

Readers will gain practical skills to preprocess and analyze physiological signals, design robust filters, implement spectral and wavelet analyses, and interpret results for diagnostics, monitoring and research. The text balances mathematical rigor with applied insights, making it suitable for classroom use, projects and professional reference. Ideal for biomedical engineering courses, clinical technologists, signal-processing researchers and development teams working on medical devices and health informatics.

Written with a global audience in mind — from academic institutions in India to research labs across North America and Europe — this edition emphasizes methods and workflows you can apply immediately to patient data and experimental datasets. Clear figures, step-by-step explanations and problem sets reinforce learning and build confidence.

Add Biomedical Signal Processing by Ganesh R. Naik to your library to strengthen your foundation in biomedical signal analysis and accelerate practical outcomes in healthcare technology. Order your copy today and start transforming signals into meaningful clinical insight.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.