Digital Signal Processing Course
Master digital signal processing for heart-rate and biosignal applications. Learn filtering, FFT, noise reduction, and real-time algorithms to design, validate, and optimize wearable and embedded electronics with reliable, robust signal analysis.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Digital Signal Processing Course gives you a focused, hands-on path to clean, analyze, and interpret heart signals for accurate BPM estimation. You will learn biosignal fundamentals, sensor noise behavior, 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 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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