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BrainFocus

BrainFocus develops a cloud-based software that automates the localization of epileptic foci from intracranial EEG recordings, providing neurologists with detailed patient reports and spatio-temporal maps of seizure activity. This technology enhances diagnostic accuracy and efficiency for patients with drug-resistant epilepsy by revealing seizure patterns that are not visible to the human eye.

Barcelona, SpainFounded 20236300+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Patients with drug-resistant epilepsy require precise localization of seizure onset zones using intracranial EEG (iEEG) recordings, a process that is often time-consuming and prone to human error due to the complexity of the data. Visual inspection of iEEG data may miss subtle but critical seizure patterns, leading to suboptimal surgical planning and outcomes.

Solution

BrainFocus iEEG is a cloud-based software solution that automates the analysis of intracranial EEG recordings to assist neurologists in localizing the epileptic focus. The software identifies and highlights pathological activity that may be invisible to the human eye, providing clinicians with detailed patient reports. These reports include an automatic localization of the epileptic focus, a description of characteristic ictal-onset patterns, and spatio-temporal maps representing the dynamic activation and propagation of recorded regions during each seizure. By automating the analysis and providing interactive visualizations, BrainFocus iEEG enhances diagnostic accuracy and efficiency, potentially improving surgical outcomes for patients with drug-resistant epilepsy.

Target Audience

The primary users are neurologists and epilepsy specialists working in epilepsy programs and hospitals who need to analyze intracranial EEG recordings for patients with drug-resistant epilepsy.

Features

  • Automated localization of the epileptic focus from iEEG recordings
  • Identification of characteristic ictal-onset patterns
  • Spatio-temporal maps visualizing seizure activation and propagation dynamics
  • Interactive interface for clinicians to compare observations with raw iEEG signals
  • Automatic detection of ictal patterns and contacts
  • Cloud-based platform for easy access and collaboration
  • Seizure-specific analysis
  • Validated high accuracy
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