公开(公告)号：US20250009307A1

公开(公告)日：2025-01-09

申请号：US18765920

申请日：2024-07-08

Applicant: Cornell University

Inventor： Hayford Agbanu Perry Fordson ,  Adam K. Anderson ,  Eve DeRosa

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/0245 ,  A61B5/308 ,  A61B5/318 ,  G16H40/67

Abstract: A method in an illustrative embodiment comprises obtaining an input data signal for a given individual, generating a noisy version of the input data signal, processing the noisy version of the input data signal in a denoising encoder-decoder neural network to generate a classification for the input data signal, and executing at least one automated action based at least in part on the generated classification. The automated action may comprise, for example, a remedial action, or another type of action. In some embodiments, the input data signal comprises at least one ECG data signal from at least one ECG sensor and/or at least one PPG data signal from at least one PPG sensor, although additional or alternative data signals can be used. The classification for the input data signal in some embodiments comprises, for example, a pain recognition classification providing a pain biomarker for the input data signal.