Ongoing projects

  • EPIC-AI (epic-ai.org)
    Enhancing Prognostication and Improving reliability of EEG assessments in Coma after Cardiac Arrest with Artificial Intelligence

  • The VIKING project
    The world’s largest database for clinical neurophysiological studies. And a study of the trust to AI decision support systems among patients and health care professionals

  • The ENTRAPME project – Improved diagnostics for nerve entrapments using machine learning
     
  • The DIGMINE project - Digital gold mining in historical neurophysiological data for more precise diagnostics
    • NEUDAG (part of the DIGMINE+ research group)
      Implementing new methods for neurophysiological diagnostics by using and implementing historical data to create reference limits and validate these against the most commonly encountered diseases
       
  • Neurological home hospital
    Innovation study funded by South-Eastern Health Authority. 2022 – 2024
     
  • Can People with Charcot-Marie-Tooth Disease improve their balance with added haptic input? (CIBAHI)
    Investigating the role of haptic input on improving balance in people with Charcot Marie Tooth (CMT) disease.
     
  • Innovation studies
  • Motor neurons – can they be counted? (MUNE and NI study)
    Study of new methods for diagnostics and follow-up of neuromuscular disease
     
  • Tak-861
    Clinical Studies of Treatment of Narcolepsy 
      
  • PETRA
    Multicenter randomized controlled study (PETRA-NMD) evaluating personalized exercise-based treatment for people with rare neuromuscular disorders, assessing effects on clinical outcomes and exploratory biomarkers.
     
  • Identifying Novel Imaging biomarkers in epileptogenesis post traumatic brain injury
    Studying the glymphatic system and its abnormalities as potential predictor for epilepsi after traumatic brain injury by using an advanced machine learning MRI post processing tool.
     
  • NOR-CACTUS
    Clinical project, in collaboration with Diakonhjemmet, evaluating a stepwise treatment strategy for mild to moderate idiopathic carpal tunnel syndrome (CTS), using ultrasound-guided corticosteroid injection, scheduled assessment, and surgery if needed, compared to primary surgical treatment, aiming to achieve non-inferior long-term outcomes while reducing adverse events and overall surgical interventions.

Wearable Mobility Solution in Parkinson’s Disease

From left: Kristian Bernhard Nilsen, project leader Tarun Arora and Christian Tronstad.
Photo: Jarli&Jordan/University of Oslo.

 
Wearable and non-invasive sensorimotor stimulation for walking difficulties in people with Parkinson’s disease.

Application
Freezing of gait detection, prediction and individualized stimulation

Competitive advantages
Non-invasive, low-cost, multimodal sensor modelling for event detection and signaling, personalized to individuals

Market assessment
The global Parkinson’s disease diagnosis and treatment market, valued ~ USD 7.5 billion (2025), is anticipated to reach USD 17.57 billion by 2035 (CAGR of 8.9%)

IP status
IP strategy / portfolio under development, discovered challenging patents and product descriptions

Needs
Technological validation for walking impairment detection and efficacy of stimulation patterns

Project leader
Tarun Arora - tararo@ous-hf.no

Project coordinator
Per Håvard Kleven

The team:
Christian Tronstad
Kristian Bernhard Nilsen
Lasse Pihlstrøm

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