公开(公告)号：US20240062911A1

公开(公告)日：2024-02-22

申请号：US18355246

申请日：2023-07-19

Applicant: VUNO Inc.

Inventor： Sunghoon JOO ,  Mineok CHANG ,  Kyung Geun KIM ,  Sungjae LEE ,  Yeongyeon NA

IPC: G16H50/30 ,  G06N3/09 ,  G06N3/096 ,  G06N3/045

CPC classification number: G16H50/30 ,  G06N3/09 ,  G06N3/096 ,  G06N3/045

Abstract: An exemplary embodiment of the present disclosure discloses a method of estimating a heart age by using a pre-trained artificial neural network model. In particular, according to the present disclosure, a computing device obtains vital sign data of a user. The computing device estimates a heart age of the user based on the vital sign data of the user by using a pre-trained artificial neural network model. The pre-trained artificial neural network model corresponds to an artificial neural network model pre-trained based on information related to a heart disease.

公开(公告)号：US20240366100A1

公开(公告)日：2024-11-07

申请号：US18291164

申请日：2022-08-10

Applicant: VUNO Inc.

Inventor： Youngjae SONG ,  Sungjae LEE

IPC: A61B5/024 ,  A61B5/00

Abstract: Disclosed is a method for extracting a heart rate variability (HRV) feature value performed by a computing device including one or more processors. The method includes acquiring first biosignal data measured during a first time period. The method includes outputting one or more heart rate variability feature values corresponding to a time period longer than the first time period by inputting the first biosignal data into a pre-trained neural network model.