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US 2024/0407694 A1Published application
Machine differentiation of abnormalities in bioelectromagnetic fields
AssigneeGenetesis, Inc.
InventorsRaj Muchhala, Emmanuel T. Setegn, Benjamin Donaldson Moore
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Abstract
Abnormalities in electromagnetic fields in the heart, brain, and stomach, among other organs and tissues of the human body, can be indicative of serious health conditions. Described herein are methods, software, systems and devices for detecting the presence of an abnormality in an organ or tissue of a subject by analysis of the electromagnetic fields generated by the organ or tissue.
Claims36
A diagnostic device configured to determine a medical diagnosis, said diagnostic device comprising:
- (i) an electromagnetic field sensor configured to sense an electromagnetic field measurement associated with an individual;
- (ii) a processor operably coupled to the electromagnetic field sensor;
- and
- (iii) a non-transitory computer-readable storage media encoded with software comprising a trained machine learning software module, wherein said software is executable by the processor and causes the processor to:
- (b) receive the electromagnetic field measurement from the electromagnetic field sensor;
- (c) extract an extraction value from the electromagnetic field measurement using an extraction technique, wherein the trained machine learning software module determines the extraction technique that is used;
- (d) associate the extraction value with one or more other values using a data association technique thereby generating a data association, wherein the trained machine learning software module determines the data association technique that is used;
- (e) generate a hypothesis function based on the association;
- and
- (f) determine a medical diagnosis for the individual based on the hypothesis function.
7 more elements
A diagnostic method comprising:
- (i) receiving an electromagnetic field measurement from an electromagnetic field sensor operably coupled to a sensing device comprising a processor and a trained machine learning software module;
- (ii) extracting, using the processor, an extraction value from the electromagnetic field measurement using an extraction technique, wherein a trained machine learning software module determines the extraction technique that is used;
- (iii) associating, using the processor, the extraction value with one or more other values using a data association technique thereby generating a data association, wherein the trained software module determines the data association technique that is used;
- (iv) generating, using the processor, a hypothesis function based on the association;
- and
- (v) determining, using the processor, a medical diagnosis for the individual based on the hypothesis function.
3 more elements
Dependencies are inferred from the claim text.