Digital Signal Processing Course
This course equips you with essential digital signal processing techniques for heart rate monitoring and biosignals. You will dive into filtering methods, FFT analysis, noise reduction strategies, and real-time algorithm development to create dependable systems for wearables and embedded devices, ensuring accurate and robust signal processing from start to finish.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in digital signal processing to process heart signals effectively. Master biosignal basics, noise handling from sensors, data cleaning with filters, spectral analysis using FFT, and reliable algorithms for heart rate in time and frequency domains, complete with examples, testing methods, and real-time tips.
Elevify advantages
Develop skills
- Develop strong heart rate extraction methods and fine-tune real-time BPM algorithms.
- Remove noise from wearables by applying filters and correcting motion artefacts on ECG and PPG signals.
- Implement practical DSP filters including bandpass, notch, and smoothing types quickly.
- Perform FFT-based spectral analysis with Welch’s method for dependable heart rate detection.
- Validate algorithms using synthetic data, SNR tests, and precise performance 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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