公开(公告)号：US20240079112A1

公开(公告)日：2024-03-07

申请号：US18076367

申请日：2022-12-06

Applicant: Apple Inc.

Inventor： Andrew MILLER ,  Gregory DARNELL ,  Guillermo R. SAPIRO ,  Seyedeh Sana TONEKABONI ,  You REN ,  Achille NAZARET

IPC: G16H20/30

CPC classification number: G16H20/30

Abstract: The subject technology provides a framework for generating physiological predictions for a user of an electronic device. The physiological predictions may include user-specific predictions of a heartrate, a heartrate range, a number of steps, a number of calories, or other physiological conditions or aspects that may occur if the user engages in a future activity, such as a future workout. The physiological predictions may be generated by a machine learning model that incorporates a physiological state equation, and that generates, and utilizes, a user-specific embedding, along with user-agnostic parameters of the future activity, to make the predictions.

公开(公告)号：US20240374164A1

公开(公告)日：2024-11-14

申请号：US18486030

申请日：2023-10-12

Applicant: Apple Inc.

Inventor： Julia K. NICHOLS ,  James P. OCHS ,  Gregory DARNELL ,  You REN ,  Agni KUMAR ,  En-Tzu YANG ,  Eshika MANCHANDA ,  Britni O. CHAU ,  Riley ROBERTS

IPC: A61B5/11 ,  A61B5/00

Abstract: The subject technology provides a framework for generating physiological predictions for a user of an electronic device. The physiological predictions may include user-specific predictions of functional threshold power (FTP) that may occur if the user engages in a future activity, such as a future workout. The FTP predictions may be generated by a machine learning model that utilizes user-specific and user-agnostic physiological measures such as VO2 max to generate multiple FTP estimates according to different physiological approaches in calculating the FTP estimates and arbitrating between the FTP estimates to make the prediction with the best FTP estimate.