Application US20200046286 AI Biotech/Diagnostics: Cardio

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Application US20200046286

Published 2020-02-13

System For Characterizing Cardiovascular Systems From Single Channel Data

Systems to identify and risk stratify disease states, cardiac structural defects, functional cardiac deficiencies induced by teratogens and other toxic agents, pathological substrates, conduction delays and defects, and ejection fraction using single channel biological data obtained from the subject. A modified Matching Pursuit (MP) algorithm may be used to find a noiseless model of the data that is sparse and does not assume periodicity of the signal. After the model is derived, various metrics and subspaces are extracted to characterize the cardiac system. In another system, space-time domain is divided into a number of regions (which is largely determined by the signal length), the density of the signal is computed in each region and input to a learning algorithm to associate them to the desired cardiac dysfunction indicator target.

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3 Independent Claims

1. A system for detecting a cardiac dysfunction using a computing device, comprising: one or more processors; and a memory having instructions stored thereon, wherein execution of the instructions by the one or more processors, cause the one or more processors to: receive only one-dimensional electrophysiological data; construct multi-dimensional electrophysiological data from the only one-dimensional electrophysiological data; define a phase space system from the multi-dimensional electrophysiological data; detect the cardiac dysfunction from the phase space system; and provide an indicator of the cardiac dysfunction.
9. A system for detecting a cardiac dysfunction using a computing device, comprising: one or more processors; and a memory having instructions stored thereon, wherein execution of the instructions by the one or more processors, cause the one or more processors to: receive only one-dimensional electrophysiological data; construct multi-dimensional electrophysiological data from the only one-dimensional electrophysiological data; define a phase space system from the multi-dimensional electrophysiological data; determine a baseline measurement of a subject's physiological condition from the phase space system; determine a first risk score associated with the baseline measurement of the subject's physiological condition; apply a therapy to the subject and subsequently receiving only second one-dimensional electrophysiological data; construct second multi-dimensional electrophysiological data from the only second one-dimensional electrophysiological data; define a second phase space system from the second multi-dimensional electrophysiological data; determine a second measurement of the subject's physiological condition from the second phase space system after the therapy is applied; determine a second risk score associated with the second measurement of the subject's physiological condition; and compare the first risk score and the second risk score to determine a utility of patient therapies.
14. A system for detecting a cardiac dysfunction, comprising: one or more processors; and a memory having instructions stored thereon, wherein execution of the instructions by the one or more processors, cause the one or more processors to: receive only one-dimensional electrophysiological data; construct multi-dimensional electrophysiological data from the only one-dimensional electrophysiological data; define a model from the multi-dimensional electrophysiological data; detect the cardiac dysfunction from the model; and provide an indicator of the cardiac dysfunction.