公开(公告)号：US20250104861A1

公开(公告)日：2025-03-27

申请号：US18665282

申请日：2024-05-15

Applicant: Apple Inc.

Inventor： Hamidreza ABBASPOURAZAD ,  Udhyakumar NALLASAMY ,  Oussama ELACHQAR ,  Saba EMRANI ,  Andrew MILLER ,  Ian R. SHAPIRO

IPC: G16H50/20 ,  G16H10/60

Abstract: The subject technology provides for large-scale training of foundation models for physiological signals from wearable electronic devices. An apparatus receives receive input data having a plurality of physiological signal information segments associated with a user. The apparatus applies one or more augmentation functions to the plurality of physiological signal information segments to generate an augmented version of the plurality of physiological signal information segments. The apparatus trains a neural network to produce a trained machine learning model by generating, via an encoder, an embedding of the augmented version having a first number of dimensions in an embedding space. The apparatus maps, via a multilayer perceptron projection, the embedding into a representation having a second number of dimensions. The apparatus determines mutual information between a pair of representations of the augmented version. The apparatus can deploy the trained machine learning model to predict a physiological state of the user.