基于Transformer的多导联ECG分类(Pytorch框架)

上传者: 46163097 | 上传时间: 2022-06-05 16:07:01 | 文件大小: 74.89MB | 文件类型: RAR
使用Transformer模型应用于多通道ECG分类任务上,压缩包里有数据集(双通道ECG信号,处理后的信号每个通道长度为152,类别数为2,训练及测试样本数为100)、数据处理代码和模型代码,可以直接运行,准确率达到85%。下载者可以通过修改模型代码,使模型性能更好。 module文件夹里有Transformer模型的各子层代码

文件下载

资源详情

[{"title":"( 32 个子文件 74.89MB ) 基于Transformer的多导联ECG分类(Pytorch框架)","children":[{"title":"基于Transformer的多导联ECG分类","children":[{"title":".spyproject","children":[{"title":"config","children":[{"title":"codestyle.ini <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"encoding.ini <span style='color:#111;'> 64B </span>","children":null,"spread":false},{"title":"defaults","children":[{"title":"defaults-encoding-0.2.0.ini <span style='color:#111;'> 37B </span>","children":null,"spread":false},{"title":"defaults-workspace-0.2.0.ini <span style='color:#111;'> 126B </span>","children":null,"spread":false},{"title":"defaults-codestyle-0.2.0.ini <span style='color:#111;'> 77B </span>","children":null,"spread":false},{"title":"defaults-vcs-0.2.0.ini <span style='color:#111;'> 65B </span>","children":null,"spread":false}],"spread":true},{"title":"vcs.ini <span style='color:#111;'> 92B </span>","children":null,"spread":false},{"title":"backups","children":[{"title":"workspace.ini.bak <span style='color:#111;'> 812B </span>","children":null,"spread":false},{"title":"vcs.ini.bak <span style='color:#111;'> 92B </span>","children":null,"spread":false},{"title":"encoding.ini.bak <span style='color:#111;'> 64B </span>","children":null,"spread":false},{"title":"codestyle.ini.bak <span style='color:#111;'> 104B </span>","children":null,"spread":false}],"spread":true},{"title":"workspace.ini <span style='color:#111;'> 813B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"main.py <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false},{"title":"saved_model","children":[{"title":"ECG batch=3.pkl <span style='color:#111;'> 74.46MB </span>","children":null,"spread":false}],"spread":true},{"title":"result_figure","children":null,"spread":false},{"title":"dataset","children":[{"title":"ECG.mat <span style='color:#111;'> 46.06KB </span>","children":null,"spread":false}],"spread":true},{"title":"dataset_process","children":[{"title":"dataset_process.py <span style='color:#111;'> 5.49KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"dataset_process.cpython-38.pyc <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"module","children":[{"title":"loss.py <span style='color:#111;'> 339B </span>","children":null,"spread":false},{"title":"encoder.py <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"encoder.cpython-38.pyc <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"loss.cpython-38.pyc <span style='color:#111;'> 764B </span>","children":null,"spread":false},{"title":"feedForward.cpython-38.pyc <span style='color:#111;'> 938B </span>","children":null,"spread":false},{"title":"multiHeadAttention.cpython-38.pyc <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":"transformer.cpython-38.pyc <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"feedForward.py <span style='color:#111;'> 482B </span>","children":null,"spread":false},{"title":"multiHeadAttention.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"transformer.py <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false}],"spread":true},{"title":"font","children":[{"title":"simsun.ttc <span style='color:#111;'> 17.37MB </span>","children":null,"spread":false}],"spread":true},{"title":"utils","children":[{"title":"random_seed.py <span style='color:#111;'> 194B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"visualization.cpython-38.pyc <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"random_seed.cpython-38.pyc <span style='color:#111;'> 448B </span>","children":null,"spread":false}],"spread":true},{"title":"visualization.py <span style='color:#111;'> 3.40KB </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