机车车组驾驶员放松技能培养能力的预测

N. V. Shcherbina
{"title":"机车车组驾驶员放松技能培养能力的预测","authors":"N. V. Shcherbina","doi":"10.35596/1729-7648-2022-20-7-95-101","DOIUrl":null,"url":null,"abstract":"The effectiveness of biofeedback training for the development of relaxation skills using the NeuroDog hardware-software complex is investigated. The relaxation skill is one of the conditions for maintaining the functional state of drivers and assistant drivers of locomotive crews at an optimal level during a working trip, and it is also one of the factors for a successful inter-trip rest. A multiple regression analysis has been carried out, which allows to predict the indicators characterizing the success of developing the relaxation skill, depending on the severity of psychophysiological and personal indicators of drivers and assistant drivers of locomotive crews. Two regression models have been constructed to explain the dependence of the indicators of developing the skill of achieving relaxation on the psychophysiological and personal characteristics of drivers and assistant drivers of locomotive crews. Models are characterized by sufficient quality. Quality indicators: of the first regression model – coefficient of determination R2 = 0.71 (with F(40, 65) = 4.06, p = 0.00000027), Durbin-Watson statistics d = 1.81, of the second regression model – R2 = 0.75 (with F(49, 56) = 3.51, p = 0.0000043), d = 2.09. To predict the indicators of developing the skill of achieving relaxation, regression equations were obtained depending on the severity of psychophysiological and personal indicators of locomotive crew drivers.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of the Ability to Develop the Relaxation Skill in Drivers of Locomotive Crews\",\"authors\":\"N. V. Shcherbina\",\"doi\":\"10.35596/1729-7648-2022-20-7-95-101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effectiveness of biofeedback training for the development of relaxation skills using the NeuroDog hardware-software complex is investigated. The relaxation skill is one of the conditions for maintaining the functional state of drivers and assistant drivers of locomotive crews at an optimal level during a working trip, and it is also one of the factors for a successful inter-trip rest. A multiple regression analysis has been carried out, which allows to predict the indicators characterizing the success of developing the relaxation skill, depending on the severity of psychophysiological and personal indicators of drivers and assistant drivers of locomotive crews. Two regression models have been constructed to explain the dependence of the indicators of developing the skill of achieving relaxation on the psychophysiological and personal characteristics of drivers and assistant drivers of locomotive crews. Models are characterized by sufficient quality. Quality indicators: of the first regression model – coefficient of determination R2 = 0.71 (with F(40, 65) = 4.06, p = 0.00000027), Durbin-Watson statistics d = 1.81, of the second regression model – R2 = 0.75 (with F(49, 56) = 3.51, p = 0.0000043), d = 2.09. To predict the indicators of developing the skill of achieving relaxation, regression equations were obtained depending on the severity of psychophysiological and personal indicators of locomotive crew drivers.\",\"PeriodicalId\":33565,\"journal\":{\"name\":\"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35596/1729-7648-2022-20-7-95-101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35596/1729-7648-2022-20-7-95-101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

使用NeuroDog硬件-软件复合体的生物反馈训练对放松技能发展的有效性进行了调查。放松技巧是使机车乘员驾驶员和副驾驶员在工作行程中保持最佳功能状态的条件之一,也是确保车组间休息成功的因素之一。通过多元回归分析,可以根据机车乘务员驾驶员和辅助驾驶员的心理生理和个人指标的严重程度,预测表征放松技巧发展成功的指标。建立了两个回归模型来解释机车乘员驾驶员和辅助驾驶员的心理生理和个人特征对放松技能发展指标的依赖关系。模型的特点是有足够的质量。质量指标:第一个回归模型-决定系数R2 = 0.71(其中F(40,65) = 4.06, p = 0.00000027), Durbin-Watson统计量d = 1.81;第二个回归模型- R2 = 0.75(其中F(49,56) = 3.51, p = 0.0000043), d = 2.09。为了预测机车乘务员放松技能发展的指标,根据机车乘务员的心理生理严重程度和个人指标建立了回归方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Prediction of the Ability to Develop the Relaxation Skill in Drivers of Locomotive Crews
The effectiveness of biofeedback training for the development of relaxation skills using the NeuroDog hardware-software complex is investigated. The relaxation skill is one of the conditions for maintaining the functional state of drivers and assistant drivers of locomotive crews at an optimal level during a working trip, and it is also one of the factors for a successful inter-trip rest. A multiple regression analysis has been carried out, which allows to predict the indicators characterizing the success of developing the relaxation skill, depending on the severity of psychophysiological and personal indicators of drivers and assistant drivers of locomotive crews. Two regression models have been constructed to explain the dependence of the indicators of developing the skill of achieving relaxation on the psychophysiological and personal characteristics of drivers and assistant drivers of locomotive crews. Models are characterized by sufficient quality. Quality indicators: of the first regression model – coefficient of determination R2 = 0.71 (with F(40, 65) = 4.06, p = 0.00000027), Durbin-Watson statistics d = 1.81, of the second regression model – R2 = 0.75 (with F(49, 56) = 3.51, p = 0.0000043), d = 2.09. To predict the indicators of developing the skill of achieving relaxation, regression equations were obtained depending on the severity of psychophysiological and personal indicators of locomotive crew drivers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
87
审稿时长
8 weeks
期刊最新文献
Recognition of Aerodynamic Objects on Spectral Portraits Taking into Account Design Features of Turbojets Skeleting of Low-Contrast Noisy Halftone Images Electrically Tunable Four-Mirror Gyrotron with Crossed Fields Assessment of the Contribution of Radiations of User Equipment to the Anthropogenic Electromagnetic Background Created by Mobile (Cellular) Communications Ontological Representation of Business Processes in an Educational Institution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1