matlab偏最小二乘法代码-glucolynx:使用德州仪器DLPNIRScanNano的血糖监测应用程序

上传者: 38647517 | 上传时间: 2023-03-29 20:14:22 | 文件大小: 3.61MB | 文件类型: ZIP
matlab 偏最小二乘法代码 Glucolynx-App Glucolynx 应用程序是一个使用近红外光谱 (NIRS) 的简单血糖监测应用程序。 MATLAB 中的机器学习算法用于预测血糖水平。 NIR 数据由德州仪器 (TI)的DLP:registered: NIRscan:trade_mark: Nano 评估模块通过扫描指尖生成为.csv文件。 默认情况下,此代码将从 .csv 文件中提取吸光度数据。 入门 MATLAB (R2016a 以上)必须安装在本地机器上。 安装 如果你想从 git 运行最新的代码,下面是如何开始: 克隆代码: git clone https://github.com/theinhtut/glucolynx.git cd glucolynx 打开MATLAB并运行 run('glucolynxApp.m'); 内置 - MathWorks 开发的多范式数值计算环境和专有编程语言。 - 提供布局和代码视图的丰富开发环境,是 MATLAB:registered: 编辑器的完全集成版本。 版本 Glucolynx-App v1.0.0 作者 Thein Htut - Glucolynx-App - Lars Nørgaa

文件下载

资源详情

[{"title":"( 59 个子文件 3.61MB ) matlab偏最小二乘法代码-glucolynx:使用德州仪器DLPNIRScanNano的血糖监测应用程序","children":[{"title":"glucolynx-master","children":[{"title":"pretrainedModel.mat <span style='color:#111;'> 986.89KB </span>","children":null,"spread":false},{"title":"iplsplot.m <span style='color:#111;'> 8.85KB </span>","children":null,"spread":false},{"title":"sub_pls_val.m <span style='color:#111;'> 8.73KB </span>","children":null,"spread":false},{"title":"iplsdemo.m <span style='color:#111;'> 3.66KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 44B </span>","children":null,"spread":false},{"title":"plsrmse.m <span style='color:#111;'> 4.76KB </span>","children":null,"spread":false},{"title":"contents.m <span style='color:#111;'> 2.73KB </span>","children":null,"spread":false},{"title":"ipcaloadplot.m <span style='color:#111;'> 5.67KB </span>","children":null,"spread":false},{"title":"ipcavarexp.m <span style='color:#111;'> 2.98KB </span>","children":null,"spread":false},{"title":"makeManualSegments.m <span style='color:#111;'> 308B </span>","children":null,"spread":false},{"title":"makeClasses.m <span style='color:#111;'> 197B </span>","children":null,"spread":false},{"title":"cal.m <span style='color:#111;'> 23B </span>","children":null,"spread":false},{"title":"mwplsdemo.m <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"intervals.m <span style='color:#111;'> 862B </span>","children":null,"spread":false},{"title":"ipca.m <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"plsmodel.m <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"testCSV","children":[{"title":"BGL_0420.csv <span style='color:#111;'> 9.02KB </span>","children":null,"spread":false},{"title":"others","children":[{"title":"fingertest_2.csv <span style='color:#111;'> 11.62KB </span>","children":null,"spread":false},{"title":"fingertest_1.csv <span style='color:#111;'> 11.62KB </span>","children":null,"spread":false},{"title":"csvSample.csv <span style='color:#111;'> 84B </span>","children":null,"spread":false}],"spread":false},{"title":"BGL_0540.csv <span style='color:#111;'> 9.02KB </span>","children":null,"spread":false}],"spread":false},{"title":"sub_bipls_limit.m <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false},{"title":"makeSampleNames.m <span style='color:#111;'> 29B </span>","children":null,"spread":false},{"title":"sub_bipls_vector.m <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"ipls.m <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false},{"title":"biplstable.m <span style='color:#111;'> 949B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"sipls.m <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"bipls.m <span style='color:#111;'> 6.07KB </span>","children":null,"spread":false},{"title":"nirbgipls.m <span style='color:#111;'> 174B </span>","children":null,"spread":false},{"title":"mwplsplot.m <span style='color:#111;'> 3.46KB </span>","children":null,"spread":false},{"title":"glucolynxApp.m <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false},{"title":"sub_pca.m <span style='color:#111;'> 1.97KB </span>","children":null,"spread":false},{"title":"glucolynxGUI.m <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"sub_iplsreverse.m <span style='color:#111;'> 3.61KB </span>","children":null,"spread":false},{"title":"glucolynxGUI.fig <span style='color:#111;'> 25.33KB </span>","children":null,"spread":false},{"title":"imgs","children":[{"title":"glucolynx-logo-hor.png <span style='color:#111;'> 12.11KB </span>","children":null,"spread":false},{"title":"run-app.gif <span style='color:#111;'> 2.37MB </span>","children":null,"spread":false}],"spread":false},{"title":"sub_pls.m <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"ipcascoplotall.m <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false},{"title":"makeManualIntervals.m <span style='color:#111;'> 122B </span>","children":null,"spread":false},{"title":"makeClasses.asv <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"siplstable.m <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"makeEntropyIntervals.m <span style='color:#111;'> 861B </span>","children":null,"spread":false},{"title":"plspredict.m <span style='color:#111;'> 4.34KB </span>","children":null,"spread":false},{"title":"ipcademo.m <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"glucolynx.mlapp <span style='color:#111;'> 35.29KB </span>","children":null,"spread":false},{"title":"ipcascoplot.m <span style='color:#111;'> 5.51KB </span>","children":null,"spread":false},{"title":"plspress.m <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"bipls_dyn.m <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false},{"title":"plspvsm.m <span style='color:#111;'> 14.04KB </span>","children":null,"spread":false},{"title":"siplsdemo.m <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"mwplsplot_comp.m <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"biplsdemo.m <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"mwpls.m <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"nirbloodglucose_yameen_ab_preprocessed_2.mat <span style='color:#111;'> 145.58KB </span>","children":null,"spread":false},{"title":"sub_bipls_vector_limit.m <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"sub_pls_pre.m <span style='color:#111;'> 549B </span>","children":null,"spread":false}],"spread":false}],"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