Use of machine learning for classification of magneto cardiograms

This invention describes a method to automatically analyze magnetic field readings from a patient's heart (magnetocardiograms) to detect abnormal patterns. It works by first applying a wavelet transform, then a kernel transform, to the raw data before using machine learning to classify the heart's activity. The goal is to identify heart conditions more accurately than human experts.

Why it matters: Filed before modern machine learning frameworks and computational power made training complex models efficient and accessible. The ability to process and classify intricate physiological signals with high accuracy using machine learning has advanced significantly since 2004.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMagnetocardiography sensors, machine learning software

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