Digital Signal Processing Course
Gain expertise in digital signal processing for heart rate monitoring and biosignals. Master filtering techniques, FFT analysis, noise reduction methods, and real-time algorithms to develop, validate, and optimise reliable signal processing for wearable devices and embedded systems in practical applications.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a practical approach to digital signal processing for analysing heart signals. Learn biosignal basics, noise handling, preprocessing filters, FFT spectral analysis, and effective time-frequency heart rate algorithms, supported by numerical examples, validation methods, and real-time tips.
Elevify advantages
Develop skills
- Robust heart rate extraction: design and tune real-time BPM algorithms.
- Wearable noise removal: clean ECG and PPG signals using filters and motion artifact fixes.
- Practical DSP filtering: build bandpass, notch, and smoothing filters quickly.
- FFT-based analysis: apply spectral methods and Welch’s technique for reliable HR detection.
- Algorithm validation: test using synthetic data, SNR analysis, and performance 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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