Title:
MODEL TRAINING METHOD, SIGNAL RECOGNITION METHOD AND APPARATUS, COMPUTING PROCESSING DEVICE, COMPUTER PROGRAM, AND COMPUTER-READABLE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/004572
Kind Code:
A1
Abstract:
A model training method, a signal recognition method and apparatus, a computing processing device, a computer program, and a computer-readable medium. The model training method comprises: obtaining a training sample set, the training sample set comprising sample electrocardiogram signals and anomaly labels of the sample electrocardiogram signals, and the anomaly labels comprising a target anomaly label and at least one related anomaly label; inputting the sample electrocardiogram signals into a multitask model, and training the multitask model on the basis of a multitask learning mechanism according to an output of the multitask model and the anomaly label, the multitask model comprising a target task model and at least one related task model, a target output of the target task model being a target anomaly label of the inputted sample electrocardiogram signals, and an target output of the related task model being a related anomaly label of the inputted sample electrocardiogram signals; and determining that a trained target task model is a target anomaly recognition model, the target anomaly recognition model being used for identifying a target anomaly in electrocardiogram signals inputted into the target anomaly recognition model.
Inventors:
ZHANG CHUNHUI (CN)
ZHANG ZHENZHONG (CN)
ZHANG ZHENZHONG (CN)
Application Number:
PCT/CN2021/108605
Publication Date:
February 02, 2023
Filing Date:
July 27, 2021
Export Citation:
Assignee:
BOE TECHNOLOGY GROUP CO LTD (CN)
International Classes:
A61B5/00; G06N3/08
Foreign References:
| CN111134662A | 2020-05-12 | |||
| CN111401558A | 2020-07-10 | |||
| CN111110224A | 2020-05-08 | |||
| CN112800222A | 2021-05-14 | |||
| US20190130247A1 | 2019-05-02 |
Attorney, Agent or Firm:
BEIJING RUN ZEHENG INTELLECTUAL PROPERTY LAW FIRM (CN)
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