Noise Reduction & Filtering Techniques
Learners gain practical knowledge of filtering methods applied to biosignals.
Instructor
About This Course
Noise Reduction & Filtering Techniques provides a practical introduction to methods used for removing noise and artifacts from biomedical signals. The course covers common noise sources, analog and digital filters, and filtering strategies applied to ECG, EEG, EMG, and wearable sensor data. It is designed for biomedical engineers and signal processing professionals working with medical and physiological signals.
Course Outline
Introduction to Noise in Biomedical Signals
Types & Sources of Noise (Power Line, Motion, EMG, Baseline Drift)
Signal-to-Noise Ratio (SNR) Concepts
Analog Filtering Fundamentals
Digital Filtering Basics
Low-Pass, High-Pass, Band-Pass & Notch Filters
FIR vs IIR Filters
Adaptive Filtering Concepts
Artifact Detection & Removal Techniques
Filtering ECG, EEG & EMG Signals
Practical Case Studies in Biomedical Filtering
Mr. Bit
Curriculum Overview
This course includes 0 modules, 0 lessons, and 0 hours of materials.
Course Specifications
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