Title:
INFORMATION PROCESSING DEVICE, RECORDING MEDIUM, AND METHOD FOR PROCESSING INFORMATION
Document Type and Number:
WIPO Patent Application WO/2023/074341
Kind Code:
A1
Abstract:
[Problem] To provide an information processing device capable of recognizing a state of heart failure deterioration. [Solution] One aspect of the present invention provides an information processing device. This information processing device has a read-out unit, a calculation unit, and an output unit. The read-out unit reads a first electrocardiogram waveform of a first subject. The calculation unit calculates an index that depends on the expected value of heart failure severity on the basis of the first electrocardiogram waveform and reference information. The reference information shows the correlation between the index and a second electrocardiogram waveform of a second subject that is different from the first subject. The output unit outputs the index.
Inventors:
FUJIU KATSUHITO (JP)
SHIMIZU YU (JP)
KOMURO ISSEI (JP)
HASUMI ERIKO (JP)
CHEN YING (JP)
SAITO RYU (JP)
SHIRATSUCHI MINORU (JP)
SHIMIZU YU (JP)
KOMURO ISSEI (JP)
HASUMI ERIKO (JP)
CHEN YING (JP)
SAITO RYU (JP)
SHIRATSUCHI MINORU (JP)
Application Number:
PCT/JP2022/037794
Publication Date:
May 04, 2023
Filing Date:
October 11, 2022
Export Citation:
Assignee:
UNIV TOKYO (JP)
SIMPLEX QUANTUM INC (JP)
SIMPLEX QUANTUM INC (JP)
International Classes:
A61B5/346; G16H10/00
Foreign References:
| JP6893002B1 | 2021-06-23 | |||
| JP2006507510A | 2006-03-02 | |||
| JP2008528958A | 2008-07-31 | |||
| JP2007521921A | 2007-08-09 |
Other References:
LI DENGAO, TAO YE, ZHAO JUMIN, WU HANG: "Classification of Congestive Heart Failure from ECG Segments with a Multi-Scale Residual Network", SYMMETRY, vol. 12, no. 12, pages 2019, XP093061934, DOI: 10.3390/sym12122019
HASUMI, ERIKO ET AL.: "Classification of heart failure severity and determination of heart failure exacerbation by single-lead ECG using convolutional neural network (CNN)", PROCEEDINGS OF THE ANNUAL MEETING OF THE JAPANESE COLLEGE OF CARDIOLOGY: ABSTRACTS OF JAPANESE COLLEGE OF CARDIOLOGY, vol. 69, no. O-229, 18 September 2021 (2021-09-18), XP009546674
HASUMI, ERIKO ET AL.: "Classification of heart failure severity and determination of heart failure exacerbation by single-lead ECG using convolutional neural network (CNN)", PROCEEDINGS OF THE ANNUAL MEETING OF THE JAPANESE COLLEGE OF CARDIOLOGY: ABSTRACTS OF JAPANESE COLLEGE OF CARDIOLOGY, vol. 69, no. O-229, 18 September 2021 (2021-09-18), XP009546674
Attorney, Agent or Firm:
IPX PATENT PARTNERS (JP)
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