{"title":"基于综合参数分析的精神疲劳判别模型","authors":"Da-peng Ren, Yuwei An, Z. Li","doi":"10.1109/phm-qingdao46334.2019.8943037","DOIUrl":null,"url":null,"abstract":"In order to establish a quantitative model to measure mental fatigue of the human body, subjects electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) are collected through the designed experimental method. Through optimized parameters setting, subjects states of mental fatigue are comprehensively analyzed and evaluated. Moreover, the entropy weight method is used for analyzing and verifying the above three kinds of data including EEG, ECG and GSR as well as comparing the data acquired from the subjects with various mental fatigue states. Thus, a parametric model is constructed to determine the degree of mental fatigue.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Discriminative Model of Mental Fatigue Based on Comprehensive Parameter Analysis\",\"authors\":\"Da-peng Ren, Yuwei An, Z. Li\",\"doi\":\"10.1109/phm-qingdao46334.2019.8943037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to establish a quantitative model to measure mental fatigue of the human body, subjects electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) are collected through the designed experimental method. Through optimized parameters setting, subjects states of mental fatigue are comprehensively analyzed and evaluated. Moreover, the entropy weight method is used for analyzing and verifying the above three kinds of data including EEG, ECG and GSR as well as comparing the data acquired from the subjects with various mental fatigue states. Thus, a parametric model is constructed to determine the degree of mental fatigue.\",\"PeriodicalId\":259179,\"journal\":{\"name\":\"2019 Prognostics and System Health Management Conference (PHM-Qingdao)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Prognostics and System Health Management Conference (PHM-Qingdao)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/phm-qingdao46334.2019.8943037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-qingdao46334.2019.8943037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Discriminative Model of Mental Fatigue Based on Comprehensive Parameter Analysis
In order to establish a quantitative model to measure mental fatigue of the human body, subjects electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) are collected through the designed experimental method. Through optimized parameters setting, subjects states of mental fatigue are comprehensively analyzed and evaluated. Moreover, the entropy weight method is used for analyzing and verifying the above three kinds of data including EEG, ECG and GSR as well as comparing the data acquired from the subjects with various mental fatigue states. Thus, a parametric model is constructed to determine the degree of mental fatigue.
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