MétaCan
Menu
Back to cohort

Application of telemedical technologies in neurology – a historical aspect

2020· article· en· W3119449921 on OpenAlex
Anton V. Vladzymyrskyy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Telemedicine and E-Health · 2020
Typearticle
Languageen
FieldMedicine
TopicTechnology and Human Factors in Education and Health
Canadian institutionsnot available
Fundersnot available
KeywordsElectroencephalographyNeurologyTelemedicineClinical neurophysiologyClinical methodBiotelemetryComputer sciencePsychologyMedicineMedical physicsPsychiatryTelecommunicationsHealth careTelemetryPolitical science

Abstract

fetched live from OpenAlex

Introduction. In the middle of the twentieth century, biotelemetry technologies were actively used in neurology, in the form of remote transmission and interpretation of an electroencephalogram (tele-EEG) for solving scientific and practical problems. Previously, this aspect of the development of clinical neurology has not been studied sufficiently. Materials and methods. The period of 1940-1980 was chosen for study. The relevant papers were identified thought electronic database (eLibrary ru, Pubmed). There are 28 papers are included in review. Results. In a global prospect, tele-EEG concepts, methods and technologies have evolved in parallel. The main contribution of the USSR is the development of methodology and technological solutions for tele-EEG, also as its application for solving scientific problems of sports and occupational medicine. The most significant are the works of the Sverdlovsk biotelemetric group. The main contribution of the USA is the development of computational tele-EEG and applications for scientific solutions in clinical neurology and psychiatry. Also, in the United States, tele-EEG was first limitedly used to solve personnel problems. The main contribution of European countries is in the formation of in-hospital and outpatient tele-EEG systems, their application for solving scientific problems of clinical neurology. Conclusion. In the middle of the twentieth century, the intensive development of telemetric electroencephalography (tele-EEG) led to the formation of a new direction in clinical telemedicine – teleneurology. Distant fixation of the brain electrical activity carried out both for the purpose of neurophysiology study and for solving clinical problems. General methodological issues and neurophysiological results of the tele-EEG highlighted in papers published in 1974-1977 by scientists from the USSR, USA, Hungary, Germany, Canada, the Netherlands, France. From the clinical point of view, the main contribution of tele-EEG is the study of the pathophysiology and innovative diagnosis of seizure syndrome and epilepsy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.770
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.348
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it