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DIY Heart Rate Variability (HRV): Generation of a Tachogram from Electrocardiography (ECG) Signals

Notebook Difficulty Level: ★★☆☆☆

Like described on another Jupyter Notebook entitled “Event Detection – R Peaks (ECG)”  , periodicity is one of the distinctive characteristics of electrocardiographic signals.

For studying periodicity it is necessary to detect a specific event in all the cardiac cycles. The QRS complex is the most prominent structure of ECG signal, being the event commonly chosen.

After detecting each R peak the time interval between them can be determined. With each time interval a time series may be generated, named Tachogram .

Essentially, the tachogram describes how the cardiac period changes along time and is the inverse of heart rate time series.

Here, it will be presented a simple way to generate a tachogram from the acquired data.

Updated on 23 de March de 2022

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