{"title":"应用直接心理生理指标的基于脑电图的神经工效学集成便携式系统的理论设计","authors":"Awad M. Aljuaid","doi":"10.1109/IASEC.2019.8686703","DOIUrl":null,"url":null,"abstract":"Ensuring human mental and cognitive capabilities and limitations is crucial and it is studied deeply with the rapid development in technology recently. Quantifying and predicting human physical and mental state (e.g. Behavior, function, performance) in work environment is very important and always considered in designing job tasks and workplace to increase the performance and reduce risks. Lack/excess of attention, drowsiness, dizziness, anger and stress are usually occur in work environment and may lead to severe consequences. This paper presents design of an integrated portable system applying direct neuroimaging indicators based on psychophysiological neuroergonomics in addition to the physiological indicators. The psychophysiological measures of human biosignals which used in the design and programming of the proposed system design are EEG, EMG, blood pressure, body temperature and heart rate. This psychophysiological information is measured using acquired data and the ON/OFF control algorithm. The proposed design includes two setups; to be attached to the scalp and to be placed on the arm. The system will keep live feeds of all psychophysiological information using BCI approach and it will alert and notify both operator and supervisors if there is unwanted mental and cognitive behavior. Limitations of the device could be irritating to the user, and the brain EEG signals need a robust artifact removal if the worker perform high muscular effort. The expected results of the proposed paper will open a new approach of a comprehensive human monitoring in workplace as a result it will increase the performance and reduce potential of risks.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Theoretical design of EEG-based Neuroergonomics integrated portable system, applying direct Psychophysiological indicators\",\"authors\":\"Awad M. Aljuaid\",\"doi\":\"10.1109/IASEC.2019.8686703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ensuring human mental and cognitive capabilities and limitations is crucial and it is studied deeply with the rapid development in technology recently. Quantifying and predicting human physical and mental state (e.g. Behavior, function, performance) in work environment is very important and always considered in designing job tasks and workplace to increase the performance and reduce risks. Lack/excess of attention, drowsiness, dizziness, anger and stress are usually occur in work environment and may lead to severe consequences. This paper presents design of an integrated portable system applying direct neuroimaging indicators based on psychophysiological neuroergonomics in addition to the physiological indicators. The psychophysiological measures of human biosignals which used in the design and programming of the proposed system design are EEG, EMG, blood pressure, body temperature and heart rate. This psychophysiological information is measured using acquired data and the ON/OFF control algorithm. The proposed design includes two setups; to be attached to the scalp and to be placed on the arm. The system will keep live feeds of all psychophysiological information using BCI approach and it will alert and notify both operator and supervisors if there is unwanted mental and cognitive behavior. Limitations of the device could be irritating to the user, and the brain EEG signals need a robust artifact removal if the worker perform high muscular effort. The expected results of the proposed paper will open a new approach of a comprehensive human monitoring in workplace as a result it will increase the performance and reduce potential of risks.\",\"PeriodicalId\":198017,\"journal\":{\"name\":\"2019 Industrial & Systems Engineering Conference (ISEC)\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Industrial & Systems Engineering Conference (ISEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASEC.2019.8686703\",\"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 Industrial & Systems Engineering Conference (ISEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASEC.2019.8686703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theoretical design of EEG-based Neuroergonomics integrated portable system, applying direct Psychophysiological indicators
Ensuring human mental and cognitive capabilities and limitations is crucial and it is studied deeply with the rapid development in technology recently. Quantifying and predicting human physical and mental state (e.g. Behavior, function, performance) in work environment is very important and always considered in designing job tasks and workplace to increase the performance and reduce risks. Lack/excess of attention, drowsiness, dizziness, anger and stress are usually occur in work environment and may lead to severe consequences. This paper presents design of an integrated portable system applying direct neuroimaging indicators based on psychophysiological neuroergonomics in addition to the physiological indicators. The psychophysiological measures of human biosignals which used in the design and programming of the proposed system design are EEG, EMG, blood pressure, body temperature and heart rate. This psychophysiological information is measured using acquired data and the ON/OFF control algorithm. The proposed design includes two setups; to be attached to the scalp and to be placed on the arm. The system will keep live feeds of all psychophysiological information using BCI approach and it will alert and notify both operator and supervisors if there is unwanted mental and cognitive behavior. Limitations of the device could be irritating to the user, and the brain EEG signals need a robust artifact removal if the worker perform high muscular effort. The expected results of the proposed paper will open a new approach of a comprehensive human monitoring in workplace as a result it will increase the performance and reduce potential of risks.