Title:
ARRHYTHMIA SEVERITY CLASSIFICATION DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/218788
Kind Code:
A1
Abstract:
A first generation unit (330) generates resampled data by resampling acquired RRI data while shifting the data by one beat each within a time window of multiple beats. A second generation unit (340) generates, on the basis of the generated resampled data, indicator data that includes an indicator value for each of multiple types of indicators relating to heartbeats. A classification unit (400) classifies the indicator data according to arrhythmia severity by inputting the generated indicator data into an arrhythmia severity classification algorithm. The arrhythmia severity classification algorithm in the classification unit (400) is trained such that resampled data for training approximates any of multiple types of labels to which the resampled data for training have been classified in accordance with a predetermined rule base.
Inventors:
FUJIWARA KOICHI (JP)
NAGATA SHOYA (JP)
NAGATA SHOYA (JP)
Application Number:
PCT/JP2023/012844
Publication Date:
November 16, 2023
Filing Date:
March 29, 2023
Export Citation:
Assignee:
NATIONAL UNIV CORPORATION TOKAI NATIONAL HIGHER EDUCATION AND RESEARCH SYSTEM (JP)
International Classes:
A61B5/364; A61B5/352
Foreign References:
| JP6931880B1 | 2021-09-08 | |||
| JP2015112423A | 2015-06-22 |
Other References:
FAUST OLIVER; SHENFIELD ALEX; KAREEM MURTADHA; SAN TAN RU; FUJITA HAMIDO; ACHARYA U. RAJENDRA: "Automated detection of atrial fibrillation using long short-term memory network with RR interval signals", COMPUTERS IN BIOLOGY AND MEDICINE, NEW YORK, NY, US, vol. 102, 17 July 2018 (2018-07-17), US , pages 327 - 335, XP085515309, ISSN: 0010-4825, DOI: 10.1016/j.compbiomed.2018.07.001
FUJIWARA KOICHI, MIYATANI SHOTA, GODA ASUKA, MIYAJIMA MIHO, SASANO TETSUO, KANO MANABU: "Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis", SENSORS, MDPI, CH, vol. 21, no. 9, CH , pages 3235, XP093109247, ISSN: 1424-8220, DOI: 10.3390/s21093235
CZABANSKI ROBERT, HOROBA KRZYSZTOF, WROBEL JANUSZ, MATONIA ADAM, MARTINEK RADEK, KUPKA TOMASZ, JEZEWSKI MICHAL, KAHANKOVA RADANA, : "Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine", SENSORS, MDPI, CH, vol. 20, no. 3, CH , pages 765, XP093109249, ISSN: 1424-8220, DOI: 10.3390/s20030765
KISOHARA MASAYA, MASUDA YUTO, YUDA EMI, UEDA NORIHIRO, HAYANO JUNICHIRO: "Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning", BIOMEDICAL ENGINEERING ONLINE, BIOMED CENTRAL LTD, LONDON, GB, vol. 19, no. 1, 1 December 2020 (2020-12-01), GB , XP093109251, ISSN: 1475-925X, DOI: 10.1186/s12938-020-00795-y
FUJIWARA KOICHI, MIYATANI SHOTA, GODA ASUKA, MIYAJIMA MIHO, SASANO TETSUO, KANO MANABU: "Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis", SENSORS, MDPI, CH, vol. 21, no. 9, CH , pages 3235, XP093109247, ISSN: 1424-8220, DOI: 10.3390/s21093235
CZABANSKI ROBERT, HOROBA KRZYSZTOF, WROBEL JANUSZ, MATONIA ADAM, MARTINEK RADEK, KUPKA TOMASZ, JEZEWSKI MICHAL, KAHANKOVA RADANA, : "Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine", SENSORS, MDPI, CH, vol. 20, no. 3, CH , pages 765, XP093109249, ISSN: 1424-8220, DOI: 10.3390/s20030765
KISOHARA MASAYA, MASUDA YUTO, YUDA EMI, UEDA NORIHIRO, HAYANO JUNICHIRO: "Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning", BIOMEDICAL ENGINEERING ONLINE, BIOMED CENTRAL LTD, LONDON, GB, vol. 19, no. 1, 1 December 2020 (2020-12-01), GB , XP093109251, ISSN: 1475-925X, DOI: 10.1186/s12938-020-00795-y
Attorney, Agent or Firm:
MORISHITA Sakaki (JP)
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