Title:
ARTIFICIAL INTELLIGENCE SELF-LEARNING-BASED AUTOMATIC ELECTROCARDIOGRAPHY ANALYSIS METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2019/100560
Kind Code:
A1
Abstract:
An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, said method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead combination, heartbeat verification, analysis and calculation of electrocardiography events and parameters, and finally automatic output of reporting data, realizing an automated analysis method having a complete and rapid flow. The automatic electrocardiography analysis method can also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.
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Inventors:
CAO JUN (CN)
JIANG YAN (CN)
LIU TAO (CN)
ZANG KAIFENG (CN)
HU CHUANYAN (CN)
LIU CHANG (CN)
JIANG YAN (CN)
LIU TAO (CN)
ZANG KAIFENG (CN)
HU CHUANYAN (CN)
LIU CHANG (CN)
Application Number:
PCT/CN2018/072348
Publication Date:
May 31, 2019
Filing Date:
January 12, 2018
Export Citation:
Assignee:
LEPU MED TECH BEIJING CO LTD (CN)
International Classes:
A61B5/0402
Foreign References:
| CN107358196A | 2017-11-17 | |||
| CN106214123A | 2016-12-14 | |||
| CN105748063A | 2016-07-13 | |||
| CN107184198A | 2017-09-22 | |||
| CN106725420A | 2017-05-31 | |||
| US20040230105A1 | 2004-11-18 |
Other References:
See also references of EP 3692903A4
Attorney, Agent or Firm:
RECHWISE PATENT & TRADEMARK FIRM (CN)
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