Digital Signal Processing (DSP) for Biomedical Systems
Learners gain practical skills in analyzing and processing medical signals using DSP techniques.
Instructor
About This Course
Digital Signal Processing (DSP) for Biomedical Systems provides a focused introduction to DSP concepts and tools used in biomedical engineering. The course covers sampling, filtering, spectral analysis, and feature extraction applied to biomedical signals such as ECG, EEG, and EMG. It is designed for engineers and professionals seeking to apply DSP techniques in medical diagnostics and healthcare technologies.
Course Outline
Introduction to DSP in Biomedical Engineering
Sampling, Quantization & Aliasing
Discrete-Time Signals & Systems
Fourier Transform & Spectral Analysis
Digital Filter Design & Implementation
Time–Frequency Analysis Techniques
Feature Extraction from Biomedical Signals
DSP for ECG, EEG & EMG Analysis
Real-Time Signal Processing Concepts
DSP Tools & Software (MATLAB/Python Overview)
Clinical & Research Applications of DSP
Mr. Bit
Curriculum Overview
This course includes 0 modules, 0 lessons, and 0 hours of materials.
Course Specifications
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