CN103610461B - 基于双密度小波邻域相关阈值处理的脑电信号消噪方法 - Google Patents
基于双密度小波邻域相关阈值处理的脑电信号消噪方法 Download PDFInfo
- Publication number
- CN103610461B CN103610461B CN201310492498.3A CN201310492498A CN103610461B CN 103610461 B CN103610461 B CN 103610461B CN 201310492498 A CN201310492498 A CN 201310492498A CN 103610461 B CN103610461 B CN 103610461B
- Authority
- CN
- China
- Prior art keywords
- signal
- wavelet
- eeg
- frequency
- subspace
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
Description
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310492498.3A CN103610461B (zh) | 2013-10-17 | 2013-10-17 | 基于双密度小波邻域相关阈值处理的脑电信号消噪方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310492498.3A CN103610461B (zh) | 2013-10-17 | 2013-10-17 | 基于双密度小波邻域相关阈值处理的脑电信号消噪方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103610461A CN103610461A (zh) | 2014-03-05 |
CN103610461B true CN103610461B (zh) | 2016-03-02 |
Family
ID=50161198
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310492498.3A Active CN103610461B (zh) | 2013-10-17 | 2013-10-17 | 基于双密度小波邻域相关阈值处理的脑电信号消噪方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103610461B (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110420022A (zh) * | 2019-07-29 | 2019-11-08 | 浙江大学 | 一种基于双密度小波变换的p波检测方法 |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103961092B (zh) * | 2014-05-09 | 2016-08-24 | 杭州电子科技大学 | 基于自适应阈值处理的脑电信号去噪方法 |
CN104688201A (zh) * | 2014-08-26 | 2015-06-10 | 安徽工程大学 | 老年人健康监护系统及其方法 |
CN105741305A (zh) * | 2016-03-02 | 2016-07-06 | 深圳竹信科技有限公司 | 一种基于平稳小波变换滤除肌电干扰的方法和系统 |
CN105809124B (zh) * | 2016-03-06 | 2018-06-01 | 北京工业大学 | 基于DWT和Parametric t-SNE的运动想象脑电信号的特征提取方法 |
CN106527169B (zh) * | 2017-01-20 | 2019-03-19 | 东莞优先家居有限公司 | 基于蓝牙的智能家居控制系统 |
WO2019127559A1 (zh) | 2017-12-30 | 2019-07-04 | 深圳迈瑞生物医疗电子股份有限公司 | 一种高频射频干扰去除装置及方法 |
CN108478215A (zh) * | 2018-01-25 | 2018-09-04 | 深圳市德力凯医疗设备股份有限公司 | 基于小波分析的脑电信号去噪方法、存储介质以及装置 |
CN110464298B (zh) * | 2019-07-25 | 2021-11-02 | 深圳大学 | 一种脑电信号处理装置和方法 |
CN110575164B (zh) * | 2019-09-20 | 2022-04-12 | 桂林电子科技大学 | 脑电信号伪迹去除方法及计算机可读存储介质 |
CN111184509A (zh) * | 2019-11-29 | 2020-05-22 | 杭州电子科技大学 | 一种基于传递熵的情绪诱导脑电信号分类方法 |
CN111528825A (zh) * | 2020-05-14 | 2020-08-14 | 浙江大学 | 一种光电容积脉搏波信号优化方法 |
CN112354055A (zh) * | 2020-11-03 | 2021-02-12 | 遵义医科大学 | 一种剂量可调的吸入式持续麻醉系统及方法 |
CN112914588B (zh) * | 2021-02-25 | 2023-05-26 | 深圳大学 | 一种脑电爆发抑制指数计算方法及系统 |
CN117708682B (zh) * | 2024-02-06 | 2024-04-19 | 吉林大学 | 脑电波智能采集分析系统及方法 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102697495A (zh) * | 2012-05-23 | 2012-10-03 | 杭州电子科技大学 | 基于总体平均经验模式分解的二代小波肌电信号消噪方法 |
-
2013
- 2013-10-17 CN CN201310492498.3A patent/CN103610461B/zh active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102697495A (zh) * | 2012-05-23 | 2012-10-03 | 杭州电子科技大学 | 基于总体平均经验模式分解的二代小波肌电信号消噪方法 |
Non-Patent Citations (2)
Title |
---|
基于EEMD和二代小波变换的表面肌电信号消噪方法;席旭刚 等;《传感技术学报》;20121130;第25卷(第11期);第1488-1492页 * |
基于双密度小波变换的信号去噪研究;曹世超;《邢台职业技术学院学报》;20110228;第28卷(第1期);第48-51页 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110420022A (zh) * | 2019-07-29 | 2019-11-08 | 浙江大学 | 一种基于双密度小波变换的p波检测方法 |
Also Published As
Publication number | Publication date |
---|---|
CN103610461A (zh) | 2014-03-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103610461B (zh) | 基于双密度小波邻域相关阈值处理的脑电信号消噪方法 | |
CN102697495B (zh) | 基于总体平均经验模式分解的二代小波肌电信号消噪方法 | |
CN110969108B (zh) | 一种基于自主运动想象脑电的肢体动作识别方法 | |
CN102697493B (zh) | 一种快速的脑电信号中眼电伪迹自动识别和去除的方法 | |
US20080262371A1 (en) | Method for Adaptive Complex Wavelet Based Filtering of Eeg Signals | |
Ma et al. | EMG signal filtering based on variational mode decomposition and sub-band thresholding | |
CN102973264B (zh) | 基于形态学多分辨率分解的心电信号预处理方法 | |
CN104688220A (zh) | 一种去除脑电信号中眼电伪迹的方法 | |
CN105942974A (zh) | 一种基于低频脑电的睡眠分析方法及系统 | |
CN105342605A (zh) | 一种去除脑电信号中肌电伪迹的方法 | |
CN102955889B (zh) | 一种用于提取时域特征点的脉搏波重构方法 | |
Shi et al. | Feature extraction of brain–computer interface electroencephalogram based on motor imagery | |
Patro et al. | De-noising of ECG raw signal by cascaded window based digital filters configuration | |
CN103761424A (zh) | 基于二代小波和ica的肌电信号降噪与去混迭方法 | |
CN105286860A (zh) | 一种基于双树复小波能量差的运动想象脑电信号识别方法 | |
Li et al. | Application of an EMG interference filtering method to dynamic ECGs based on an adaptive wavelet-Wiener filter and adaptive moving average filter | |
CN106236083A (zh) | 睡眠状态分析中去除眼电伪迹的设备 | |
Wang et al. | Wavelet transform based ECG denoising using adaptive thresholding | |
Durka | Time-frequency analyses of EEG | |
CN104515905A (zh) | 基于cqt多分辨率的被试的脑电信号自适应频谱分析方法 | |
Chen et al. | A hybrid method for muscle artifact removal from EEG signals | |
Wang et al. | EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm | |
CN103816007B (zh) | 一种基于脑电频域特征指标化算法的耳鸣治疗设备及方法 | |
CN117349598B (zh) | 脑电信号处理方法及装置、设备、存储介质 | |
Xu et al. | Digital filter design for peak detection of surface EMG |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20181127 Address after: 313000 industrial zone of Donglin Town, Wuxing District, Huzhou, Zhejiang Patentee after: ZHEJIANG YUANTE NEW MATERIAL CO.,LTD. Address before: 310018 2 street, Xiasha Higher Education Park, Hangzhou, Zhejiang Patentee before: HANGZHOU DIANZI University |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20191216 Address after: No. 988, Guangyu South Road, Guangchen Town, Pinghu City, Jiaxing City, Zhejiang Province Patentee after: Pinghu Taijie packaging material Co.,Ltd. Address before: 313000 Zhejiang Province, Huzhou city Wuxing District East Town Industrial Zone Patentee before: ZHEJIANG YUANTE NEW MATERIAL CO.,LTD. |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: De-noising method of eeg signal based on dual density wavelet neighborhood correlation threshold processing Effective date of registration: 20221025 Granted publication date: 20160302 Pledgee: Zhejiang Pinghu Rural Commercial Bank Co.,Ltd. Guangchen sub branch Pledgor: Pinghu Taijie packaging material Co.,Ltd. Registration number: Y2022330002797 |