ecg_cardiac
Process electrocardiogram (ECG) and photoplethysmography (PPG) signals for cardiovascular analysis. This module provides comprehensive tools for R-peak detection, waveform delineation, quality assessment, and heart rate analysis.
- Skills
- Scientific
- 0
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/ecg-cardiac && curl -fsSL https://doutorai.pt/data/lib/skills__ecg-cardiac.md -o .claude/skills/ecg-cardiac/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# ECG and Cardiac Signal Processing
## Overview
Process electrocardiogram (ECG) and photoplethysmography (PPG) signals for cardiovascular analysis. This module provides comprehensive tools for R-peak detection, waveform delineation, quality assessment, and heart rate analysis.
## Main Processing Pipeline
### ecg_process()
Complete automated ECG processing pipeline that orchestrates multiple steps.
```python
signals, info = nk.ecg_process(ecg_signal, sampling_rate=1000, method='neurokit')
```
**Pipeline steps:**
1. Signal cleaning (noise removal)
2. R-peak detection
3. Heart rate calcula
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
Ask Dr AI - it explains things simply.
Need a tailor-made solution?
Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.
Save hours every week with AI, no hassle
Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.