CN112120694B - 一种基于神经网络的运动想象脑电信号分类方法 - Google Patents
一种基于神经网络的运动想象脑电信号分类方法 Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/726—Details of waveform analysis characterised by using transforms using Wavelet transforms
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- A—HUMAN NECESSITIES
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- 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
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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
- 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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CN112932504B (zh) * | 2021-01-16 | 2022-08-02 | 北京工业大学 | 偶极子成像与识别方法 |
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CN113057657B (zh) * | 2021-03-22 | 2022-09-13 | 华南理工大学 | 基于多尺度连通性特征和元迁移学习的脑电情绪分类方法 |
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CN113143295A (zh) * | 2021-04-23 | 2021-07-23 | 河北师范大学 | 基于运动想象脑电信号的设备控制方法及终端 |
CN113065526B (zh) * | 2021-05-06 | 2022-05-31 | 吉林大学 | 一种基于改进深度残差分组卷积网络的脑电信号分类方法 |
CN113261980B (zh) * | 2021-05-14 | 2022-10-21 | 清华大学 | 一种基于脑电联合特征学习的大规模视觉分类方法及装置 |
CN114330457B (zh) * | 2022-01-06 | 2024-07-02 | 福州大学 | 基于dscnn和elm的eeg信号mi任务分类方法 |
CN114533066B (zh) * | 2022-04-28 | 2022-08-19 | 之江实验室 | 基于复合表情加工脑网络的社交焦虑评估方法和系统 |
CN115081489A (zh) * | 2022-07-13 | 2022-09-20 | 重庆大学 | 基于小波分解矩阵和残差网络的时间序列分类方法 |
CN115474899A (zh) * | 2022-08-17 | 2022-12-16 | 浙江大学 | 一种基于多尺度卷积神经网络的基本味觉感知识别方法 |
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CN109711383A (zh) * | 2019-01-07 | 2019-05-03 | 重庆邮电大学 | 基于时频域的卷积神经网络运动想象脑电信号识别方法 |
CN110929581A (zh) * | 2019-10-25 | 2020-03-27 | 重庆邮电大学 | 一种基于时空特征加权卷积神经网络的脑电信号识别方法 |
KR102096565B1 (ko) * | 2018-11-08 | 2020-04-02 | 광운대학교 산학협력단 | 움직임 상상 뇌신호 인식을 위한 웨이블릿 변환 기반의 컨볼루션 신경망 분석 방법 |
CN111012336A (zh) * | 2019-12-06 | 2020-04-17 | 重庆邮电大学 | 时空特征融合的并行卷积网络运动想象脑电图分类方法 |
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US7127100B2 (en) * | 2001-06-25 | 2006-10-24 | National Instruments Corporation | System and method for analyzing an image |
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KR102096565B1 (ko) * | 2018-11-08 | 2020-04-02 | 광운대학교 산학협력단 | 움직임 상상 뇌신호 인식을 위한 웨이블릿 변환 기반의 컨볼루션 신경망 분석 방법 |
CN109711383A (zh) * | 2019-01-07 | 2019-05-03 | 重庆邮电大学 | 基于时频域的卷积神经网络运动想象脑电信号识别方法 |
CN110929581A (zh) * | 2019-10-25 | 2020-03-27 | 重庆邮电大学 | 一种基于时空特征加权卷积神经网络的脑电信号识别方法 |
CN111012336A (zh) * | 2019-12-06 | 2020-04-17 | 重庆邮电大学 | 时空特征融合的并行卷积网络运动想象脑电图分类方法 |
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