Tag: digital signal processing
As a Biomedical Engineer, I’ve always been fascinated by working with physiological signals. It amazes much how much stuff we can measure on the human body and what we can learn from it. Lately, I’ve been missing working with such data. To scratch that itch, I have been busy with a side project focused on estimating the respiratory rate from the heart rate variability signal (measured from single-lead ECG), as shown in the work by Schäfer and Kratky (2008).
Recently, I was going through my undergraduate lecture notes. I stumbled upon an exercise which I found interesting. The task consisted in implementing the algorithm proposed by Pei and Tseng, which uses vector projection to minimize the problem of transient values when applying an IIR notch filter to an ECG signal.