Ellen R. Grass讲座:回到未来:从草根到微芯片

J. Drazkowski
{"title":"Ellen R. Grass讲座:回到未来:从草根到微芯片","authors":"J. Drazkowski","doi":"10.1080/1086508X.2011.11079805","DOIUrl":null,"url":null,"abstract":"ABSTRACT. The study of the electroencephalogram (EEG) and other clinical neurophysiology (CNP) measurement tools has evolved over the last 70 years. In this evolutionary process, Ellen Grass and many professional technologists along the way have been instrumental in the translation of new developments in CNP technology to clinical utility. Technological developments in long-term EEG/video intensive care unit (ICU) monitoring, intraoperative monitoring, high frequency oscillation (HFO) recordings, automated signal analysis tools, seizure prediction devices, and the study of implanted intracranial recording and stimulation devices will improve our understanding of how the nervous system works. Improved understanding and translation of this evolving technology for improved patient care and outcomes remains the ultimate goal of such endeavors. Professional organizations such as the American Board of Registration of Electroencephalographic and Evoked Potential Technologists (ABRET) and the American Society of Electroneurodiagnostic Technologists (ASET) must continue to serve the CNP community and society to guide the application of this technology with an emphasis on providing information, guidelines on its use, and setting standards of professionalism. Any prior prediction of the demise of CNP technology has been greatly exaggerated. Quite the opposite has occurred, considering that the humble origins of vacuum tube powered Grass EEG machines will eventually yield to intracranial implanted microchip based recording and stimulation devices; the future appears bright for our profession.","PeriodicalId":7480,"journal":{"name":"American Journal of Electroneurodiagnostic Technology","volume":"40 1","pages":"69 - 81"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ellen R. Grass Lecture: Back to the Future: From Grass Roots to Microchips\",\"authors\":\"J. Drazkowski\",\"doi\":\"10.1080/1086508X.2011.11079805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT. The study of the electroencephalogram (EEG) and other clinical neurophysiology (CNP) measurement tools has evolved over the last 70 years. In this evolutionary process, Ellen Grass and many professional technologists along the way have been instrumental in the translation of new developments in CNP technology to clinical utility. Technological developments in long-term EEG/video intensive care unit (ICU) monitoring, intraoperative monitoring, high frequency oscillation (HFO) recordings, automated signal analysis tools, seizure prediction devices, and the study of implanted intracranial recording and stimulation devices will improve our understanding of how the nervous system works. Improved understanding and translation of this evolving technology for improved patient care and outcomes remains the ultimate goal of such endeavors. Professional organizations such as the American Board of Registration of Electroencephalographic and Evoked Potential Technologists (ABRET) and the American Society of Electroneurodiagnostic Technologists (ASET) must continue to serve the CNP community and society to guide the application of this technology with an emphasis on providing information, guidelines on its use, and setting standards of professionalism. Any prior prediction of the demise of CNP technology has been greatly exaggerated. Quite the opposite has occurred, considering that the humble origins of vacuum tube powered Grass EEG machines will eventually yield to intracranial implanted microchip based recording and stimulation devices; the future appears bright for our profession.\",\"PeriodicalId\":7480,\"journal\":{\"name\":\"American Journal of Electroneurodiagnostic Technology\",\"volume\":\"40 1\",\"pages\":\"69 - 81\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Electroneurodiagnostic Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/1086508X.2011.11079805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Electroneurodiagnostic Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1086508X.2011.11079805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

摘要脑电图(EEG)和其他临床神经生理学(CNP)测量工具的研究已经发展了70年。在这一进化过程中,Ellen Grass和许多专业技术人员在将CNP技术的新发展转化为临床应用方面发挥了重要作用。长期脑电图/视频重症监护病房(ICU)监测、术中监测、高频振荡(HFO)记录、自动信号分析工具、癫痫发作预测设备以及植入颅内记录和刺激设备的研究等方面的技术发展将提高我们对神经系统如何工作的理解。提高对这一不断发展的技术的理解和翻译,以改善患者的护理和结果,仍然是这些努力的最终目标。专业组织,如美国脑电图和诱发电位技术专家注册委员会(ABRET)和美国电子神经诊断技术专家协会(ASET),必须继续为CNP社区和社会提供服务,指导这项技术的应用,重点是提供信息,指导其使用,并制定专业标准。任何先前关于CNP技术消亡的预测都被大大夸大了。考虑到最初的真空管供电的Grass脑电图机最终将被颅内植入的微芯片记录和刺激设备所取代,情况正好相反;我们这个职业的前途看来是光明的。
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
Ellen R. Grass Lecture: Back to the Future: From Grass Roots to Microchips
ABSTRACT. The study of the electroencephalogram (EEG) and other clinical neurophysiology (CNP) measurement tools has evolved over the last 70 years. In this evolutionary process, Ellen Grass and many professional technologists along the way have been instrumental in the translation of new developments in CNP technology to clinical utility. Technological developments in long-term EEG/video intensive care unit (ICU) monitoring, intraoperative monitoring, high frequency oscillation (HFO) recordings, automated signal analysis tools, seizure prediction devices, and the study of implanted intracranial recording and stimulation devices will improve our understanding of how the nervous system works. Improved understanding and translation of this evolving technology for improved patient care and outcomes remains the ultimate goal of such endeavors. Professional organizations such as the American Board of Registration of Electroencephalographic and Evoked Potential Technologists (ABRET) and the American Society of Electroneurodiagnostic Technologists (ASET) must continue to serve the CNP community and society to guide the application of this technology with an emphasis on providing information, guidelines on its use, and setting standards of professionalism. Any prior prediction of the demise of CNP technology has been greatly exaggerated. Quite the opposite has occurred, considering that the humble origins of vacuum tube powered Grass EEG machines will eventually yield to intracranial implanted microchip based recording and stimulation devices; the future appears bright for our profession.
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
0
期刊最新文献
The Use of Artificial Intelligence in Water Management Projects in the Kingdom of Saudi Arabia The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI Design and Implementation of a Secure Virtual Private Network Over an Open Network (Internet) Effects of ICT in Hotel Industry in South Africa Use of Mobile Phones in Nigeria to Prevent Crime
×
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