Digital Signal Processing Course
This course equips learners with essential DSP skills for heart rate estimation from biosignals, covering noise removal, filtering, spectral analysis, and algorithm validation through practical examples and real-time techniques.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Digital Signal Processing Course provides a focused, hands-on approach to cleaning, analysing, and interpreting heart signals for accurate BPM estimation. You will learn biosignal fundamentals, sensor noise behaviour, preprocessing and filtering, FFT-based spectral analysis, and robust time- and frequency-domain heart rate algorithms, with numeric examples, validation workflows, and real-time implementation tips.
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 the 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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