The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 22, 2022

Filed:

Jul. 27, 2017
Applicant:

Vita-course Digital Technologies (Tsingtao) Co., Ltd., Shandong, CN;

Inventors:

Ying Lu, Haikou, CN;

Chuanmin Wei, Haikou, CN;

Jiwei Zhao, Haikou, CN;

Heng Peng, Haikou, CN;

Ziming Deng, Haikou, CN;

Zijian Huang, Haikou, CN;

Zhiyong Wang, Haikou, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/1455 (2006.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); A61B 5/021 (2006.01); A61B 5/00 (2006.01); G16H 10/60 (2018.01); A61B 5/318 (2021.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61B 5/14551 (2013.01); A61B 5/0022 (2013.01); A61B 5/021 (2013.01); A61B 5/02125 (2013.01); A61B 5/6802 (2013.01); A61B 5/726 (2013.01); A61B 5/7257 (2013.01); A61B 5/7271 (2013.01); A61B 5/7275 (2013.01); A61B 5/7475 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 5/02416 (2013.01); A61B 5/318 (2021.01);
Abstract

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for determining blood pressure may include: receiving a request to determine blood pressure of a first subject from a terminal, obtaining data related to heart activity of the first subject, determining a personalized model for predicting blood pressure with respect to the first subject, determining the blood pressure of the first subject using the personalized model based on the data related to heart activity of the first subject, and sending the blood pressure of the first subject to the terminal in response to the request.


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