felixkrones/ECG-Digitiser
PhysioNet Challenge 2024 Winner: Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
This tool helps medical professionals, researchers, or archivists convert old paper ECG printouts into digital signals. You provide a scanned image of an ECG, and it outputs the raw electrical signal data, making it easy to analyze or store. This is ideal for digitizing historical patient data or for research involving legacy ECG records.
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Use this if you need to accurately convert scanned images of paper ECGs into usable digital signal data for analysis or electronic archiving.
Not ideal if your ECG images do not follow a standard 12-lead, 25 mm/s horizontally and 10 mm/mV vertically grid layout with a rhythm strip.
Stars
63
Forks
26
Language
Python
License
BSD-2-Clause
Category
Last pushed
Jun 18, 2025
Commits (30d)
0
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