willparker123/multimodal-cardiography-learning
Multimodal Transformer Networks with synchronised ECG and PCG data to detect and classify Cardiovascular Diseases
This project helps medical researchers and cardiologists automate the detection and classification of cardiovascular diseases. It takes raw electrocardiogram (ECG) and phonocardiogram (PCG) data from patient recordings, processes them, and then outputs classifications indicating the presence and type of heart conditions. It's designed for professionals analyzing heart rhythm and sound data for diagnostic insights.
No commits in the last 6 months.
Use this if you need to combine and analyze synchronized ECG and PCG data to automatically identify cardiovascular diseases.
Not ideal if you are looking for a standalone diagnostic tool for immediate patient care without prior data processing.
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Language
Python
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Last pushed
Aug 14, 2023
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