cnn源码matlab去噪-SeizurePrediction:一种CNN+LSTM架构,可根据EEG数据预测癫痫发作

上传者: 38663837 | 上传时间: 2021-08-27 11:18:14 | 文件大小: 86.64MB | 文件类型: ZIP
cnn源码matlab去建立癫痫发作预测 该项目使用 CNN + LSTM 架构从 EEG 数据预测癫痫发作。 它将数据分类为 preictal(label = 1) 或 interictal (label = 0)。 可在此处找到用于该项目的数据: 。 该项目有两部分: 预处理: 预处理脚本使用小波变换对 EEG 信号进行去噪,降低采样频率并将 10 分钟片段分成 15 个时间序列。 项目的这部分是用 MATLAB 编写的。 该脚本位于 source/Preprocessing/Preprocess_data.m 下。 CNN + LSTM: 预处理完成后,将使用此数据训练 CNN + LSTM 模型。 架构如下图所示: source/DataGenerator.py 脚本是一个自定义类,用于将数据批量加载到内存中,而不是一次加载整个数据集。 有关该类的更多信息,请参阅脚本中的注释。 注意:要安装使用的 python 库: 下载此存储库。 使用以下命令安装依赖项:pip3 install -r requirements.txt(假设已经安装了 python3 和 pip) sourc

文件下载

资源详情

[{"title":"( 28 个子文件 86.64MB ) cnn源码matlab去噪-SeizurePrediction:一种CNN+LSTM架构,可根据EEG数据预测癫痫发作","children":[{"title":"SeizurePrediction-master","children":[{"title":"source","children":[{"title":"seizure_prediction.py <span style='color:#111;'> 13.09KB </span>","children":null,"spread":false},{"title":"DataGenerator.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"Preprocessing","children":[{"title":"Preprocess_data.m <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"img","children":[{"title":"net_arch.png <span style='color:#111;'> 40.71KB </span>","children":null,"spread":false},{"title":"Screenshot.png <span style='color:#111;'> 141.33KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"contest_test_data_labels_public.csv <span style='color:#111;'> 46.31KB </span>","children":null,"spread":false},{"title":"Preprocessed","children":[{"title":"Pat3Train","children":[{"title":"1","children":[{"title":"Pat3Train_42_1.mat <span style='color:#111;'> 5.68MB </span>","children":null,"spread":false},{"title":"Pat3Train_41_1.mat <span style='color:#111;'> 5.68MB </span>","children":null,"spread":false}],"spread":true},{"title":"0","children":[{"title":"Pat3Train_8_0.mat <span style='color:#111;'> 5.66MB </span>","children":null,"spread":false},{"title":"Pat3Train_7_0.mat <span style='color:#111;'> 5.65MB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Testing_Data","children":[{"title":"Pat1Test_41_0.mat <span style='color:#111;'> 5.66MB </span>","children":null,"spread":false},{"title":"Pat1Test_44_0.mat <span style='color:#111;'> 5.69MB </span>","children":null,"spread":false},{"title":"Pat1Test_43_0.mat <span style='color:#111;'> 5.67MB </span>","children":null,"spread":false},{"title":"Pat1Test_42_0.mat <span style='color:#111;'> 3.67MB </span>","children":null,"spread":false}],"spread":true},{"title":"Pat1Train","children":[{"title":"1","children":[{"title":"Pat1Train_16_1.mat <span style='color:#111;'> 5.70MB </span>","children":null,"spread":false},{"title":"Pat1Train_15_1.mat <span style='color:#111;'> 5.69MB </span>","children":null,"spread":false},{"title":"file.md <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":true},{"title":"0","children":[{"title":"Pat1Train_8_0.mat <span style='color:#111;'> 5.66MB </span>","children":null,"spread":false},{"title":"file.md <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"Pat1Train_7_0.mat <span style='color:#111;'> 5.67MB </span>","children":null,"spread":false}],"spread":true},{"title":"file.md <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":true},{"title":"Pat2Train","children":[{"title":"1","children":[{"title":"Pat2Train_1_1.mat <span style='color:#111;'> 5.67MB </span>","children":null,"spread":false},{"title":"Pat2Train_2_1.mat <span style='color:#111;'> 5.67MB </span>","children":null,"spread":false}],"spread":true},{"title":"0","children":[{"title":"Pat2Train_1_0.mat <span style='color:#111;'> 3.98MB </span>","children":null,"spread":false},{"title":"Pat2Train_2_0.mat <span style='color:#111;'> 5.20MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"file.md <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":true}],"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