公开(公告)号：US11222653B2

公开(公告)日：2022-01-11

申请号：US16554708

申请日：2019-08-29

Applicant: SHINSUNG UNIVERSITY Industry-Academia Cooperation Group ,  Korea Research Institute of Standards and Science

Inventor： Se Jin Park ,  Seung Nam Min ,  Kyung Sun Lee ,  Jung Nam Im ,  Dong Joon Kim ,  Sung Kyun Im ,  Hea Sol Kim ,  Murali Subramaniyam ,  Seoung Eun Kim

IPC: G10L25/66 ,  G16H80/00 ,  A61B5/00 ,  G06K9/62 ,  G10L15/02 ,  G10L15/22

Abstract: The present invention relates to a system and a method for determining a stroke based on a voice analysis. According to the present invention, voice data of subjects are collected to extract and analyze voice onset times to determine stroke patients based on voices. The system for determining a stroke generates and collects voice data from test subjects reading a predetermined word that includes a plosive sound. The system for determining a stroke extracts and calculates voice onset times from the voice data to calculate probability parameters for the voice onset times of each of a normal group and a stroke patient group. The system for determining a stroke uses a set of probability parameters to determine an integration section, and calculates probabilities of being in the normal group and the stroke patient group. The system for determining a stroke applies the calculated probabilities to the Bayes theorem to determine whether the subjects are stroke patients.

公开(公告)号：US10786209B2

公开(公告)日：2020-09-29

申请号：US15943524

申请日：2018-04-02

Applicant: KOREA RESEARCH INSTITUTE OF STANDARDS AND SCIENCE

Inventor： Se Jin Park ,  Seung hee Hong ,  Da Mee Kim

IPC: A61B5/00 ,  A61B5/0488 ,  A61B5/0496 ,  A61B5/0484 ,  A61B5/16 ,  A61B5/18 ,  A61B5/0205 ,  A61B5/0476 ,  A61B5/024 ,  A61B5/021 ,  A61B5/053 ,  A61B5/11

Abstract: Provided is a stroke monitoring system capable of measuring a user's biometric signal including an electroencephalogram using a device such as a wearable device for determining whether a user has a stroke for 24 hours, building a database of the measured user's biometric signal and other information, and predicting an occurrence of a user's stroke.