Method and system for assessing disease using dynamic analysis of biophysical signals

Abstract

Exemplary methods and systems facilitate one or more dynamic analyses that can characterize and identify non-linear dynamic characteristics (e.g., Lyapunov exponent (LE), correlation dimensions, entropy (K2), or statistical and / or geometric characteristics derived from Poincare mapping, etc.) of biophysical signals (e.g., photoplethysmography signals and / or cardiac signals), indexes to predict the presence and / or location of a disease or condition, or to indicate one of them, including, but not limited to, coronary artery disease, heart failure (including, but not limited to, abnormal left ventricular end diastolic pressure), pulmonary arterial hypertension, and the like.

Description

[0001] Cross References to Related Applications [0002] This international PCT application claims priority to U.S. Provisional Patent Application No. 62 / 863,005, filed June 18, 2019, entitled "Method and System to Assess Disease Using Dynamical Analysis of Cardiac and Photoplethysmographic Signals," and filed on June 2019. Priority and benefit to U.S. Provisional Patent Application No. 62 / 862,991, entitled "Method and System to Assess Disease Using Dynamical Analysis of Biophysical Signals," filed on March 18, each of which is incorporated by reference Incorporated here in its entirety. technical field [0003] The present disclosure generally relates to non-invasive methods and systems for characterizing one or more physiological systems and their associated functions, activities, and abnormalities. More specifically, in one aspect, the present disclosure relates to non-invasive methods for predicting and / or detecting cardiovascular, pulmonary, and cardiopulmonary diseases ...

AI Technical Summary

Problems solved by technology

and, in the case of, for example, exercise or treadmill testing, may trigger moderate or even serious adverse events (eg, myocardial infarction) that would not otherwise occur

Furthermore, these different modalities often increase the time required to determine the health, disease, or condition of the patient whose biophysical signature is being characterized, often requiring weeks or months for patients who already have or are likely to have a moderate or even severe health condition. month time

This results in reduced productivity and increased healthcare costs for society as a whole

This delay can also cause emotional trauma to the patient (which itself can be detrimental to the patient's health), their family, friends, and other caregivers who cater to the patient's needs

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