CPC G06N 3/08 (2013.01) [A61B 5/7275 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 20/00 (2019.01); G06V 10/776 (2022.01)] | 14 Claims |
1. A method comprising:
receiving, by a processor, a biophysical signal data set of a subject acquired from two or more channels of one or more sensors, including a first channel and a second channel;
pre-processing the biophysical signal data set to generate one or more pre-processed data sets, wherein the pre-processed data set of the first channel includes a plurality of singularly isolated complete phase synchronized cardiac cycles, each isolated complete phase synchronized cardiac cycle having a signal peak and a same time window correspondence at boundaries of an isolated complete phase synchronized cardiac cycle to another singularly isolated complete phase synchronized cardiac cycle of the second channel; and
determining, by the processor, a value indicative of presence or non-presence of heart failure by directly inputting the pre-processed data set to one or more deep neural networks trained with a set of training biophysical signal data acquired from patients diagnosed with the heart failure and labeled with the presence or non-presence of the heart failure,
wherein an output data set is outputted via a report and/or a display based on the determined value indicative of the presence or non-presence of heart failure.
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