Method and system for assessing disease using dynamic analysis of cardiac and photoplethysmography signals

Abstract

Exemplary methods and systems facilitate one or more dynamic analyses that can characterize and identify synchronism between acquired cardiac signals and photoplethysmography signals to predict / estimate the presence or absence, localization, and / or severity of an abnormal cardiovascular condition or disease, such as the presence or absence, localization, and / or severity of the abnormal cardiovascular condition or disease. Comprise, but not limited to, coronary artery diseases, heart failure (including but not limited to indexes of diseases or symptoms, such as abnormal left ventricular end diastolic pressure diseases), pulmonary hypertension and the like. In some embodiments, statistical characteristics of synchronism between a cardiac signal and a photoplethysmography signal are evaluated. In some embodiments, statistical characteristics of a histogram of synchronism between a cardiac signal and a photoplethysmography signal are evaluated. In some embodiments, statistical and / or geometric characteristics of a Poincare mapping of synchronism between a cardiac signal and a photoplethysmography signal are evaluated.

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 , the presence, severity and / or location...

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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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