Ellen R. Grass Lecture: The Future of Neurodiagnostics and Emergence of a New Science.
Electroencepholography (EEG) is the oldest and original brain measurement technology. Since EEG was first used in clinical settings, the role of neurodiagnostic professionals has focused on two principal tasks that require specialized training. These include collecting the EEG recording, performed p...
| Publicado en: | Neurodiagnostic Journal Vol. 63; no. 1; pp. 1 - 14 |
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| Autor principal: | |
| Formato: | pictorial tracings Journal Article |
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Taylor & Francis Ltd
Mar2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162968472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162968472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 21646821 ESX4 jtl: Neurodiagnostic Journal issn: 21646821 maglogo: N pubinfo: dt: Mar2023 vid: 63 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 162968472 162968472 162968472 10.1080/21646821.2023.2183012 162968472 ppf: 1 ppct: 13 formats: tig: atl: Ellen R. Grass Lecture: The Future of Neurodiagnostics and Emergence of a New Science. aug: au: Bosl, William J. affil: Health Informatics Program, University of San Francisco, San Francisco, California sug: subj: Diagnosis, Neurologic Electroencephalography Bioinformatics Machine Learning Algorithms Neuropsychology Technology, Medical ab: Electroencepholography (EEG) is the oldest and original brain measurement technology. Since EEG was first used in clinical settings, the role of neurodiagnostic professionals has focused on two principal tasks that require specialized training. These include collecting the EEG recording, performed primarily by EEG Technologists, and interpreting the recording, generally done by physicians with proper specialization. Emerging technology appears to enable non-specialists to contribute to these tasks. Neurotechnologists may feel vulnerable to being displaced by new technology. A similar shift occurred in the last century when human "computers," employed to perform repetitive calculations needed to solve complex mathematics for the Manhattan and Apollo Projects, were displaced by new electronic computing machines. Many human "computers" seized on the opportunity created by the new computing technology to become the first computer programmers and create the new field of computer science. That transition offers insights for the future of neurodiagnostics. From its inception, neurodiagnostics has been an information processing discipline. Advances in dynamical systems theory, cognitive neuroscience, and biomedical informatics have created an opportunity for neurodiagnostic professionals to help create a new science of functional brain monitoring. A new generation of advanced neurodiagnostic professionals that bring together knowledge and skills in clinical neuroscience and biomedical informatics will benefit psychiatry, neurology, and precision healthcare, lead to preventive brain health through the lifespan, and lead the establishment of a new science of clinical neuroinformatics. pubtype: Academic Journal doctype: pictorial tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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