matlab人头检测的代码-eegfmripy:用于对来自eeg-fmri实验的eeg数据进行去噪并与FMRI融合的python代码

上传者: 38618784 | 上传时间: 2021-06-02 09:26:01 | 文件大小: 42KB | 文件类型: ZIP
matlab人头检测的代码精神病 注意:此python代码可以运行,但是由于多种原因(特定于Python的问题和特定于MNE的问题),它不是最佳的。 我们已经在Matlab中实现了它,效果更好: 用于对来自eeg-fmri实验的eeg数据进行去噪并融合eeg-fmri数据的Python代码。 全自动管道,用于清除扫描仪内部采集的原始EEG数据。 程序包按顺序执行以下操作: 梯度伪影去除 心电图伪影去除 将来可能会添加以下功能: 使用ICA消除残留噪声 脑电运动检测和审查 清洁头皮空间信号的源定位 源空间与FMRI体素空间的共配准 每个体素中特定于频率的EEG-FMRI相关性 基于脑电图心动图伪影频率的时变心率 基于脑电图心电图伪影振幅的呼吸量 基于宽带高频EEG功率的毫秒级精确头部运动幅度 注意:由于开销较大,具有16 Gb RAM的计算机的最大EEG数据集为1.5Gb,这通常只会在梯度降噪步骤中出现问题 依赖项可以通过以下方式安装 cd eegfmripy python setup.py install 这些依赖性与mne-python()相同。 安装后,您可以运行eegfmripy

文件下载

资源详情

[{"title":"( 37 个子文件 42KB ) matlab人头检测的代码-eegfmripy:用于对来自eeg-fmri实验的eeg数据进行去噪并与FMRI融合的python代码","children":[{"title":"eegfmripy-dev","children":[{"title":"eegfmripy","children":[{"title":"clianalysis","children":[{"title":"work_singlechan.py <span style='color:#111;'> 7.14KB </span>","children":null,"spread":false},{"title":"config_examplecli.yml <span style='color:#111;'> 11B </span>","children":null,"spread":false},{"title":"setup_src_space.py <span style='color:#111;'> 767B </span>","children":null,"spread":false},{"title":"isolate_start_time.py <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"RemoveGradient.py <span style='color:#111;'> 3.07KB </span>","children":null,"spread":false},{"title":"work_singlechan2.py <span style='color:#111;'> 6.75KB </span>","children":null,"spread":false},{"title":"remove_bcg.py <span style='color:#111;'> 5.66KB </span>","children":null,"spread":false},{"title":"examplecli.py <span style='color:#111;'> 498B </span>","children":null,"spread":false},{"title":"run_bcg_denoise.py <span style='color:#111;'> 6.98KB </span>","children":null,"spread":false},{"title":"remove_gradient.py <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"LearnEEGFMRI.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"remove_nosync_gradient.py <span style='color:#111;'> 6.43KB </span>","children":null,"spread":false},{"title":"clean.py <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"ica_all.py <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false},{"title":"isolate_fmri_comps.py <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false},{"title":"basic_gradient.py <span style='color:#111;'> 7.96KB </span>","children":null,"spread":false},{"title":"component_clean.py <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"postproc_gradient.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"remove_gradient_single.py <span style='color:#111;'> 8.54KB </span>","children":null,"spread":false},{"title":"denoise_eeg_ica.py <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"configs","children":[{"title":"config_remove_gradient_single.yml <span style='color:#111;'> 258B </span>","children":null,"spread":false},{"title":"config_run_bcg_denoise.yml <span style='color:#111;'> 245B </span>","children":null,"spread":false},{"title":"config_clean.yml <span style='color:#111;'> 309B </span>","children":null,"spread":false}],"spread":false},{"title":"merge_eegfmri.py <span style='color:#111;'> 8.99KB </span>","children":null,"spread":false},{"title":"isolate_scan_start.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":false},{"title":"cli.py <span style='color:#111;'> 2.77KB </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"test_srcloc.py <span style='color:#111;'> 2.37KB </span>","children":null,"spread":false},{"title":"tests.py <span style='color:#111;'> 372B </span>","children":null,"spread":false}],"spread":true},{"title":"resources","children":[{"title":"requirements.txt <span style='color:#111;'> 46B </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"general_utils.py <span style='color:#111;'> 320B </span>","children":null,"spread":false},{"title":"helpers.py <span style='color:#111;'> 4.11KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"setup.py <span style='color:#111;'> 909B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 288B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明