CN110558975B - 一种心电信号分类方法及系统 - Google Patents
一种心电信号分类方法及系统 Download PDFInfo
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- CN110558975B CN110558975B CN201910973897.9A CN201910973897A CN110558975B CN 110558975 B CN110558975 B CN 110558975B CN 201910973897 A CN201910973897 A CN 201910973897A CN 110558975 B CN110558975 B CN 110558975B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
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- Veterinary Medicine (AREA)
- Computer Vision & Pattern Recognition (AREA)
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- Signal Processing (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Cardiology (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
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CN110558975A CN110558975A (zh) | 2019-12-13 |
CN110558975B true CN110558975B (zh) | 2020-12-01 |
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Families Citing this family (5)
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CN111000633B (zh) * | 2019-12-20 | 2020-11-03 | 山东大学齐鲁医院 | 一种内镜诊疗操作过程的监控方法及系统 |
CN112272074B (zh) * | 2020-10-27 | 2022-11-25 | 国网内蒙古东部电力有限公司电力科学研究院 | 一种基于神经网络的信息传输速率控制方法及系统 |
CN112600772B (zh) * | 2020-12-09 | 2022-05-17 | 齐鲁工业大学 | 一种基于数据驱动神经网络的ofdm信道估计与信号检测方法 |
CN113393936B (zh) * | 2021-07-06 | 2023-01-24 | 重庆大学 | 一种基于端-边-云架构的失能老人健康监护系统 |
CN114159070A (zh) * | 2021-12-20 | 2022-03-11 | 武汉大学 | 一种卷积神经网络的心脏骤停风险实时预测方法及系统 |
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CA2996475A1 (en) * | 2014-09-12 | 2016-03-17 | Blacktree Fitness Technologies Inc. | Portable devices and methods for measuring nutritional intake |
CN107890348B (zh) * | 2017-11-21 | 2018-12-25 | 郑州大学 | 一种基于深度学习法心电节拍特征自动化提取及分类方法 |
CN108720831B (zh) * | 2018-05-12 | 2021-01-15 | 鲁东大学 | 一种基于导联深度神经网络的自动心律失常分析方法 |
CN109820525A (zh) * | 2019-01-23 | 2019-05-31 | 五邑大学 | 一种基于cnn-lstm深度学习模型的驾驶疲劳识别方法 |
CN110090012A (zh) * | 2019-03-15 | 2019-08-06 | 上海图灵医疗科技有限公司 | 一种基于机器学习的人体疾病检测方法及检测产品 |
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Denomination of invention: A method and system for ECG signal classification Effective date of registration: 20230112 Granted publication date: 20201201 Pledgee: Qilu Bank Co.,Ltd. Jinan Wuying East Road Sub branch Pledgor: Shandong Shanke Zhixin Technology Co.,Ltd. Registration number: Y2023980030850 |
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