• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[脑电图与具有不同神经系统类型特征的人学习自动运输司机工作的成功率]

[EEG and success in learning the job of autotransport driver in persons with different typologic characteristics of the nervous system].

作者信息

Shevko G N, Moldavskaia S I, Troshikhin V A

出版信息

Zh Vyssh Nerv Deiat Im I P Pavlova. 1977 Nov-Dec;27(6):1234-41.

PMID:595876
Abstract

The properties of nervous processes: mobility and strength (capacity for work), were determined by the Khilchenko method in healthy subjects learning the trade of an automobile driver. People with different individual typological characteristics of higher nervous activity displayed significant differences in EEG energo-frequency parameters of different brain areas. It has been shown that EEG of practically healthy people at rest, in conjunction with other informative psycho-physiological data, offers promise for appraising the individual typological characteristics of a person in predicting the professional suitability for driving automobiles.

摘要

采用希尔琴科方法,对学习汽车驾驶行业的健康受试者的神经过程特性(灵活性和强度(工作能力))进行了测定。具有不同高级神经活动个体类型特征的人,其不同脑区的脑电图能量频率参数存在显著差异。研究表明,实际健康人在静息状态下的脑电图,结合其他信息性心理生理数据,有望在预测驾驶汽车的职业适应性时,评估一个人的个体类型特征。

相似文献

1
[EEG and success in learning the job of autotransport driver in persons with different typologic characteristics of the nervous system].[脑电图与具有不同神经系统类型特征的人学习自动运输司机工作的成功率]
Zh Vyssh Nerv Deiat Im I P Pavlova. 1977 Nov-Dec;27(6):1234-41.
2
[Electroencephalographic characteristics in animals with different typologic characteristics of their higher nervous activity].[具有不同高级神经活动类型特征动物的脑电图特征]
Zh Vyssh Nerv Deiat Im I P Pavlova. 1975 Mar-Apr;25(2):342-9.
3
[Role of individual-typological features of higher nervous activity and occupational choice].[高级神经活动的个体类型特征与职业选择的作用]
Fiziol Zh (1978). 1980 Jul-Aug;26(4):505-11.
4
EEG mapping in children with different dermatoglyphic patterns.不同皮纹模式儿童的脑电图图谱
Brain Topogr. 1998 Spring;10(3):221-5.
5
[The bioelectrical activity of the human brain in representatives of different temperamental types].
Zh Vyssh Nerv Deiat Im I P Pavlova. 1993 May-Jun;43(3):530-42.
6
Different slopes for different folks: alpha and delta EEG power predict subsequent video game learning rate and improvements in cognitive control tasks.因人而异:α 和 δ EEG 功率可预测随后的视频游戏学习率和认知控制任务的改善。
Psychophysiology. 2012 Dec;49(12):1558-70. doi: 10.1111/j.1469-8986.2012.01474.x. Epub 2012 Oct 23.
7
[Interrelationship between spatial synchronization and rhythmic components of the human EEG].[人类脑电图的空间同步与节律成分之间的相互关系]
Zh Vyssh Nerv Deiat Im I P Pavlova. 1977 May-Jun;27(3):561-7.
8
[The dependence of the achievement of students on the individual typological properties of their nervous systems].
Fiziol Zh (1978). 1990 Jul-Aug;36(4):89-93.
9
Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents.利用车载电生理记录监测嗜睡以预防睡眠不足引发的交通事故。
Clin Neurophysiol. 2007 Sep;118(9):1906-22. doi: 10.1016/j.clinph.2007.04.031. Epub 2007 Jul 24.
10
[Some features of spatiotemporal organization of brain biopotentials in persons with different levels of anxiety and other personality traits].
Zh Vyssh Nerv Deiat Im I P Pavlova. 2004 May-Jun;54(3):331-9.