| 基于脑电波信号的人体疲劳程度测试模型分析 |
| |
| 引用本文： | 顾宣宣,李鲁群,杜如东.基于脑电波信号的人体疲劳程度测试模型分析[J].上海师范大学学报(自然科学版),2019,48(1):102-105. |
| |
| 作者姓名： | 顾宣宣 李鲁群 杜如东 |
| |
| 作者单位： | 上海师范大学信息与机电工程学院 |
| |
| 摘 要： | 针对人体疲劳程度检测问题,采集被测试者的脑电图(EEG)信号,利用阈值小波变换对EEG信号进行消噪处理,提取脑电波中的特征值,分析疲劳程度与特征值的相关性,建立脑电波信号与疲劳程度的数学模型,并用十折交叉验证法来验证该模型的准确率.结果表明:该模型检测人体疲劳程度的准确率可以达到96%以上.
|
| 关 键 词： | 脑电图(EEG)信号 疲劳程度 小波变换 数学模型 十折交叉验证法 |
| 收稿时间： | 2017/5/15 0:00:00 |
Analysis of human body's fatigue testing model based on EEG signals |
| |
| GU Xuanxuan,LI Luqun and DU Rudong.Analysis of human body's fatigue testing model based on EEG signals[J].Journal of Shanghai Normal University(Natural Sciences),2019,48(1):102-105. |
| |
| Authors: | GU Xuanxuan LI Luqun and DU Rudong |
| |
| Institution: | College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China |
| |
| Abstract: | For the detection of degree of human body''s fatigue,we collected electroencephalographic(EEG) signals from the tested people.We eliminated the noise in the EEG signals by threshold wavelet transform technology,and extracted the eigenvalues in EEG signals.We analyzed the relationship between the fatigue and the eigenvalues,and built the mathematical model between EEG signals and the degree of fatigue.We verified the model by 10-fold cross-validation.The experimental results showed that the testing accuracy of the model reached up to 96%. |
| |
| Keywords: | electroencephalographic (EEG) signals degree of fatigue wavelet transform mathematical model 10-fold cross-validation method |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海师范大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《上海师范大学学报(自然科学版)》下载免费的PDF全文 |
|
