Methods, Systems and Devices for Detecting and Diagnosing Diabetic Diseases and Disorders
AssigneeDynacardia, Inc.
InventorWei-min Brian Chiu
Life of this patent
Estimating the term…
Abstract
Disclosed herein methods, devices, and systems for detecting and diagnosing a diabetic disease or disorder in a subject from a prime electrocardiogram which comprises calculating at least one distribution function of the prime electrocardiogram and determining whether the distribution function is indicative of the presence of absence of the diabetic disease or disorder.
Claims28
A method for diagnosing or detecting a diabetic disease or disorder in a subject which comprises
- creating a prime electrocardiogram from a raw electrocardiogram of the subject,
- obtaining harmonics from the prime electrocardiogram by performing discrete cosine transform analysis;
- obtaining a plurality of density functions for the harmonics in a range of harmonics of the prime electrocardiogram, wherein the density function refers to the sampling rate multiplied by the harmonic peak energy divided by the length of the period of the prime electrocardiogram;
- summing the plurality of density functions to give at least one distribution function;
- and
- determining the presence or absence of the diabetic disease or disorder based on whether the distribution function is indicative of the diabetic disease or disorder.
9-10. (canceled)
(canceled)
19-21. (canceled)
24-29. (canceled)
A system or device for detecting or diagnosing a subject as suffering from a diabetic disease or disorder comprising
- an electrocardiograph machine which obtains a raw electrocardiogram from the subject;
- a data acquisition module which converts the raw electrocardiogram into a raw digital electrocardiogram;
- a prime electrocardiogram converter which converts the raw digital electrocardiogram into a prime electrocardiogram;
- and
- means for calculating at least one distribution function of the prime electrocardiogram, and
- wherein the presence or absence of the diabetic disease or disorder is based on whether the distribution function is indicative of the diabetic disease or disorder.
Dependencies are inferred from the claim text.