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Biomedical Signal Processing - Student Guide | Prep4Uni.online

Introduces how biological signals are captured, cleaned, analysed, and converted into meaningful health information. Covers common signals (ECG, EEG, EMG), filtering and noise reduction, feature extraction, time/frequency analysis, and modern ML-based detection for monitoring and diagnosis.

Keywords:: arrhythmia detection, spectral analysis, EEG, ECG, time series, physiological monitoring, machine learning, seizure detection, feature extraction, wavelets, noise reduction, wearable sensors, filtering, biomedical signal processing, EMG

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Health Sciences

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Material Type:: Reference Material
Date Added to MERLOT:: January 22, 2026
Date Modified in MERLOT:: January 22, 2026
Author:: Jacob Gan
Submitter:: Jacob Gan
Primary Audience:: High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: Yes
Creative Commons:: This work is licensed under a Attribution 4.0 International