Digital Signal Processing Course
This course equips learners with essential DSP skills for heart rate estimation from biosignals, covering noise handling, filtering, spectral analysis, and algorithm validation for real-world applications.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Digital Signal Processing Course provides a focused, practical approach to cleaning, analysing, and interpreting heart signals for accurate BPM estimation. You will learn biosignal basics, how sensor noise behaves, preprocessing and filtering techniques, FFT-based spectral analysis, and strong time- and frequency-domain heart rate algorithms, including numerical examples, validation methods, and tips for real-time implementation.
Elevify advantages
Develop skills
- Robust heart-rate extraction: design and tune real-time BPM algorithms.
- Wearable noise removal: clean ECG/PPG with filters and motion-artifact fixes.
- Practical DSP filtering: build bandpass, notch, and smoothing filters fast.
- FFT-based analysis: use spectra and Welch’s method for reliable HR detection.
- Algorithm validation: test with synthetic data, SNR sweeps, and clear metrics.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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