ai-agent

Open-ECG-Digitizer: ECG Digitization

Name: Open-ECG-Digitizer: ECG Digitization
Author: Ahus-AIM

Digitize paper ECGs with this open-source algorithm. For clinical researchers and founders in healthcare.

102 stars37 forksJupyter NotebookGuide quality 8/10Updated 6/4/2026100% free · open source

What it does

The Open-ECG-Digitizer is an open-source algorithm that digitizes paper ECGs, allowing clinical researchers and healthcare founders to convert analog ECG data into a digital format for analysis and research.

When to use it

•When you have a large collection of paper ECGs that need to be digitized for a clinical study
•When you want to automate the process of ECG data extraction from paper records
•When you need to integrate ECG data into a digital health platform or electronic health record system

Ready-to-paste prompt

Run the digitization algorithm on an example ECG image using the command `digitize_ecg('example_ecg.png', 'csv')` to produce a digital ECG signal in CSV format

Heads up: Make sure you have the required dependencies installed, including OpenCV and scikit-image, and that your Jupyter Notebook is running with a compatible Python version (Python 3.8 or later) to avoid import errors and ensure proper functionality

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/open-ecg-digitizer && curl -fsSL https://workflowstacks.com/api/skills/open-ecg-digitizer/claude-skill -o ~/.claude/skills/open-ecg-digitizer/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Open-ECG-Digitizer: ECG Digitization works

Codeflow

Free to inspect

Open-ECG-Digitizer: ECG Digitization is a medium Jupyter Notebook project (~5.5k lines across 31 code files, plus 2 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 3 months ago, Other license, has a test suite.

Size

Medium codebase

~5.5k lines · 31 code files · 46 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

No API keys detected

Jupyter Notebook 50%Python 49%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
pyproject.toml
Dependencies and the commands it exposes
3
src/__init__.py
Inside src/ — the main logic begins here

What's in each folder

src/Core code — the actual logic42 files

weights/Folder2 files

test/Tests — proof it works9 files

.github/CI / automation (GitHub Actions)6 files

assets/Images & static assets4 files

READMEHas testsThin docsCI checksOther licenseUpdated 3 mo ago

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/open-ecg-digitizer && curl -fsSL https://workflowstacks.com/api/skills/open-ecg-digitizer/claude-skill -o ~/.claude/skills/open-ecg-digitizer/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

Ahus-AIM

Language

Jupyter Notebook