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.
Patent No.:
Date of Patent:
Feb. 18, 2025
Filed:
Apr. 19, 2021
National Health Research Institutes, Miaoli County, TW;
Chang Gung Memorial Hospital, Keelung, Keelung, TW;
Acer Medical Inc., New Taipei, TW;
Acer Incorporated, New Taipei, TW;
Yun-Hsuan Chan, New Taipei, TW;
Chun-Hsien Li, New Taipei, TW;
Jun-Hong Chen, New Taipei, TW;
Tsung-Hsien Tsai, New Taipei, TW;
Ting-Fen Tsai, Miaoli County, TW;
Chi-Hsiao Yeh, Keelung, TW;
ACER INCORPORATED, New Taipei, TW;
National Health Research Institutes, Miaoli County, TW;
CHANG GUNG MEMORIAL HOSPITAL, KEELUNG, Keelung, TW;
ACER MEDICAL INC., New Taipei, TW;
Abstract
An electronic device and a method for predicting a blockage of a coronary artery are provided. The method includes: obtaining multiple pieces of electrocardiogram (ECG) data respectively corresponding to a coronary artery set; generating multiple first probabilities corresponding to the multiple pieces of electrocardiogram data respectively according to the multiple pieces of electrocardiogram data and a first phase model, generating a first determined result according to the multiple first probabilities, and selecting a first data subset corresponding to a first probability subset from the multiple pieces of electrocardiogram data in response to each one in the first data subset of the multiple first probabilities being greater than a first threshold; generating multiple second probabilities corresponding to the first data subset according to the first data subset and a second phase model, and generating a second determined result according to the multiple second probabilities.