Selecting peaks in a recorded ECG signal

Published by The SciPy community

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The public work

The SciPy example applies height, spacing, prominence and width conditions to a recorded ECG segment. It displays selected peaks, interval arrays and property values, making each filtering choice inspectable.

What to notice

Define the operational meaning of a peak before tuning thresholds, and retain the selected indices and rejected alternatives for inspection.

Keep the context

A signal-processing demonstration on a supplied recording, not a validated diagnostic procedure. Noise, missing samples, sampling rate and threshold choices can alter detected peaks.

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Authored practice suggestion

Try the idea.
Check your own work.

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A prompt to adapt privately

Using a local copy of SciPy’s sample recording, compare two peak-selection rules on the same segment. Plot selected indices and tabulate their spacing and prominence. Add a separate missing-sample practice case, document its treatment, and keep all conclusions about the signal-processing method.

A check to adapt

Selected indices reproduce the stated rules; spacing units and missing-sample handling are explicit; no clinical conclusion is inferred from the demonstration.

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