VIKING logo
VIKING
The road to AI in neurology and clinical neurophysiology
 Open to collaboration

VIKING

Norwegian research project

The world’s largest clinical neurophysiology dataset

VIKING establishes secure, FAIR and reusable infrastructure for raw signal and report data from clinical neurophysiology practice — enabling research into AI-based clinical decision support systems, quality assurance and method development for neurology and clinical neurophysiology.

Explore the data dashboard See the infrastructure
Preserve raw signals icon
Mission

Preserve raw signals

Build a national-scale archive of raw clinical neurophysiology signals, reports and metadata.

AI-based clinical decision support icon
Clinical AI

AI-based CDSS

Develop decision-support tools for neurology and clinical neurophysiology with human oversight.

Better methods icon
Quality

Better methods

Support quality assurance, reference limits, validation studies and method development.

Reusable by design icon
Open science

Reusable by design

Work toward FAIR principles with standardized structuring of data, open formats and open source tools.

Data

Data dashboard

Approximate processed data currently represented in the VIKING database. Counts are public aggregate values and will be updated as conversion and indexing progresses.

Processed VIKING data as of May 2026

Public aggregate counts by modality and data type.

500,000
Unique patients
1,000,000
Unique examinations
330,000
EEG studies
1,300,000
EEG hours
250,000
EMG studies
800,000
EMG traces
100,000
EMG minutes
250,000
NCS studies
1,500,000
NCS curves
Coming…
PSG studies
Coming…
PSG hours
Coming…
EP studies
Coming…
QST studies
Network

Norwegian research project with focused international partnerships

VIKING connects Norwegian clinical neurophysiology environments with selected international partners in standards, data infrastructure and AI development.

Map of VIKING collaboration network

Norwegian Collaborators

Helse Nord

  • Tromsø
  • Finnmark
  • Bodø

Helse Midt

  • Trondheim
  • Nord-Trøndelag
  • Ålesund
  • Molde

Helse Vest

  • Stavanger
  • Førde
  • Fonna

Helse Sør-Øst

  • Oslo
  • Akershus
  • Vestre Viken
  • Vestfold
  • Skien
  • Kristiansand
  • Elverum
  • Gjøvik
  • Lillehammer

Other

  • University of South-Eastern Norway, Kongsberg
  • Østfold University College, Halden
  • University of Oslo, Oslo
  • University of Science and Technology, Trondheim
  • eBains Norway

International collaborators

International

  • Uppsala, Sweden
  • Lund, Sweden
  • Copenhagen, Denmark
  • Leiden, Netherlands
  • Boston, USA
Infrastructure

From proprietary recordings to reusable research data

VIKING develops software and standards-aware pipelines for extraction, conversion, annotation, metadata harmonisation and downstream AI development.

1

Extract & convert

VIKING develops open tools to convert proprietary EEG data to EDF+ and proprietary EMG/NCS data to waveform time-series and structured reports.

2

Annotate

EpiCurrents supports browser-based annotation and visualisation across neurophysiology modalities for education and research.

3

Harmonise

Metadata stored in SQL, JSON and Parquet with BIDS/FAIR/EDF+ alignment and provenance tracking.

4

Link

Approved joins with patient journals, national registries and laboratory codes provide metadata on diagnoses, outcomes, care-pathway and more.

5

Develop & validate

Develop AI-based clinical decision support systems, novel methods, and tools for modern quality assurance and benchmarking.

NeuroTrace

EMG/NCS extraction

Extraction of EMG and NCS waveform time-series and reports from proprietary files.

EpiCurrents

Annotation and review

Open-source browser-based tooling for visualisation, annotation and research workflows across neurophysiology modalities.

Projects

Ongoing studies leveraging VIKING data

Selected projects and information pages connected to VIKING infrastructure and clinical neurophysiology AI.

↗EPIC-AI

EEG prognosis after cardiac arrest

Advanced research on neurological outcome assessment in comatose cardiac arrest survivors using AI-enhanced EEG analysis and multimodal prognostication.

 ↗ENTRAPME

Nerve entrapment diagnostics

Develop a machine-learning based clinical decision support system for diagnosing nerve entrapments.
DIGTIPS

Diagnostics at the fingertips

Developing a new device for diagnosing carpal tunnel syndrome.

NYDAG

Implementing new methods for neurophysiological diagnostics

Implementation research: New reference limits for nerve conduction studies at Norwegian hospitals.

↗DIGMINE

Digital gold mining in historical neurophysiological data

Developing and validating new indirect methods to create local reference limits for nerve conduction studies.

 ↗VIKING at OUH

Project page

Official Oslo University Hospital research project page.

 ↗VIKING at OUH

Patient information and patient rights

English information page for patients and rights.

 ↗VIKING ved OUS

Pasientinformasjon og -rettigheter

Norsk informasjonsside for pasienter og rettigheter.
Collaboration

Standards, interoperability and future collaboration

VIKING is built for controlled reuse, validation and future method development with clinical and technical partners.

Future-oriented

Open infrastructure for clinical neurophysiology research

VIKING welcomes partners in clinical neurophysiology, neurology, signal processing, AI safety, data standards and open infrastructure. The project enables research into AI-based clinical decision support systems, quality assurance and method development for neurology and clinical neurophysiology. Simultaneously, our goal is to build a foundation for controlled data reuse in approved future projects, guided by FAIR principles and aligned where possible with BIDS, EDF+ interoperability, and EBRAINS collaboration.

Open to collaboration