Title:
てんかん発作予測装置、心電指標データの分析方法、発作予測コンピュータプログラム、モデル構築装置、モデル構築方法、モデル構築コンピュータプログラム
Document Type and Number:
Japanese Patent JP7416432
Kind Code:
B2
Abstract:
This disclosure relates to an epileptic seizure predicting device (1) that executes a seizure predicting process (12). The seizure predicting process (12) includes: a process of providing, as input data, electrocardiographic index data generated from an electrocardiographic signal of a subject, to an autoencoder (AE) that has been provided with and has learned with, as learning input data, learning electrocardiographic index data generated from an electrocardiographic signal of an epilepsy patient, and obtaining output data which is reconstruction data of the input data; a process of calculating an error between the input data and the output data of the subject; and a detection process of detecting a sign of an epileptic seizure of the subject on the basis of whether or not the error exceeds a management limit that the error should not exceed in a case of a seizure-free interval of epilepsy.
Inventors:
Koichi Fujiwara
Fumiya Sakane
Fumiya Sakane
Application Number:
JP2020548217A
Publication Date:
January 17, 2024
Filing Date:
August 27, 2019
Export Citation:
Assignee:
Kyoto University
International Classes:
A61B5/346; A61B5/347; A61B5/352
Domestic Patent References:
| JP2009519803A | ||||
| JP6344912B2 |
Other References:
辰岡 鉄郎,ウェアラブルのための組み込みAI生体計測の研究,Interface 第44巻 第6号,日本,CQ出版株式会社 CQ Publishing Co.,Ltd.,2018年06月,第44巻,p.117-125
HASHIMOTO Hirotsugu, et al.,Analysis of Changes in HRV of Epileptic Patients in Preictal Period,生体医工学,日本,2013年,51巻 Supplement 号,p.R-198
HASHIMOTO Hirotsugu, et al.,Analysis of Changes in HRV of Epileptic Patients in Preictal Period,生体医工学,日本,2013年,51巻 Supplement 号,p.R-198
Attorney, Agent or Firm:
Hiroshi Sakamoto