Title:
BIOLOGICAL SIGNAL ANALYSIS SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/113792
Kind Code:
A1
Abstract:
This biological signal analysis system is a series of biological signal analysis systems that determine arrhythmia on the basis of electrocardiographic information, the biological signal analysis system comprising: an input unit that receives input of electrocardiographic information; a data conversion unit that generates determination data by performing time/frequency conversion on the electrocardiographic information; a data restoration unit that generates restored data by restoring the determination data using a learned model constituted of an autoencoder; a difference calculation unit that calculates the difference between the restored data and the determination data; and a determination unit that determines whether the determination data is normal waveform data or arrhythmic waveform data on the basis of the difference.
Inventors:
OKAMOTO RIKU (JP)
MIZUTA SHINGO (JP)
MIZUTA SHINGO (JP)
Application Number:
PCT/JP2021/041847
Publication Date:
June 02, 2022
Filing Date:
November 15, 2021
Export Citation:
Assignee:
TORAY INDUSTRIES (JP)
International Classes:
A61B5/361; A61B5/363; A61B5/364
Foreign References:
| JP2019033878A | 2019-03-07 | |||
| JP2020156927A | 2020-10-01 | |||
| JP2020036633A | 2020-03-12 | |||
| JP2014150826A | 2014-08-25 | |||
| JP2014100473A | 2014-06-05 |
Other References:
HEALEY: "Robust detection of atrial fibrillation for a long term telemonitoring system", COMPUTERS IN CARDIOLOGY, 2005, LYON, 2005, pages 619 - 622, XP010889911, DOI: 10.1109/CIC.2005.1588177
A. QAYYUMF. MERIAUDEAUG. C. Y. CHAN: "Classification of Atrial Fibrillation with Pre-Trained Convolutional Neural Network Models", 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), SARAWAK, MALAYSIA, 2018, pages 594 - 599, XP033514160, DOI: 10.1109/IECBES.2018.8626624
A. QAYYUMF. MERIAUDEAUG. C. Y. CHAN: "Classification of Atrial Fibrillation with Pre-Trained Convolutional Neural Network Models", 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), SARAWAK, MALAYSIA, 2018, pages 594 - 599, XP033514160, DOI: 10.1109/IECBES.2018.8626624
Attorney, Agent or Firm:
SAKAI INTERNATIONAL PATENT OFFICE (JP)
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