Use of machine learning for classification of magneto cardiograms

This invention uses machine learning to analyze magnetic signals from the heart, called magnetocardiograms (MCG), to tell if heart patterns are normal or abnormal. It works by first processing the raw heart signal with a wavelet transform, and then applying another mathematical transformation, often a radial basis function, to identify important features for classification.

Why it matters: Filed before modern ML frameworks and computational power streamlined implementing and optimizing kernel methods. This makes hyperparameter tuning much faster.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, data processing, algorithm implementation

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10