EEG Hero Background Image

Solution

Clinical EEG Intelligence

Advanced foundation model for clinical EEG analysis with unprecedented accuracy in seizure detection, sleep disorder diagnosis, and neurological pattern recognition.

AdvancedEEG Foundation Model

Utilizing biometric data such as brainwaves and heart rate variability to quantify mental health status

Easy assessment and management of mental health status, allowing early detection of mental illness in everyday life and delaying its progression.

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EEG measurement voltage range-300uV~300uV
EEG Resolution12bit
EEG Bandwidth51.2Hz
EEG Sampling Rate1024Hz
EEG FFT Bandwidth0 ~ 51.2Hz
EEG FFT Segment2048 samples
Thermo sensor Sampling rate1Hz
Gyrosensor Sampling rate10Hz
Communication2.4GHz wireless
PRODUCT

EZRest

Senior mental health monitoring headset

Capability to monitor both emotional and cognitive functions

Automatic noise elimination through surrounding facial sensors

Simple UX that can be checked at any time without assistance

Ability to distinguish between pseudodementia, dementia, and normal aging

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PRODUCT

Bluesafe

Brainwave-Based Instant Concentration Analysis Smart Safety Helmet

Immediate alerts through real-time concentration analysis

Can be attached to various types of helmets

No separate device needed

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PRODUCT

Algorithms

Wearable data analysis algorithm

Quantification of concentration/stress levels and recommendations for improvement activities

Data collection through existing wearable devices such as smartwatches or bands

Management of concentration and stress through daily behaviors and routines

Analysis of caffeine impact and management of appropriate caffeine intake

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Technology Stack

AI/ML Framework

AI/ML Framework

  • •PyTorch
  • •TensorFlow
  • •Transformer Architecture
Signal Processing

Signal Processing

  • •Real-time EEG analysis
  • •Multi-channel processing
Clinical Integration

Clinical Integration

  • •HL7 FHIR
  • •DICOM
  • •Hospital EMR systems
Infrastructure

Infrastructure

  • •Cloud-based deployment
  • •HIPAA-compliant security

Clinical Partners

SNU

Seoul National University Hospital

SMC

Samsung Medical Center

AMC

Asan Medical Center

SEV

Severance Hospital

Clinical Validation

Multi-Center Study

Ongoing

Prospective validation across 12 leading epilepsy centers with over 2,000 patient hours of EEG data.

2,847
Patients Enrolled
15,632
Hours of EEG Data

Comparative Analysis

Completed

Head-to-head comparison with expert neurologists shows superior accuracy and consistency in seizure detection.

94.8%
Inter-rater Agreement
23%
Faster Detection

Ready to Transform EEG Analysis?

Partner with us to bring cutting-edge AI to your clinical practice.