Clinical Series
iSyncBrain-C
healthy norm comparisons
iSyncBrain-C
iSyncBrain is a software medical device(KR 20-4800) that maps abnormal areas or networks at the sensor level or source level using standardized quantitative feature analysis pipelines with the world’s first sex classified EEG database. Through EEG recording with conventional EEG amplifier and amplifier matching process, you can check the pattern of brain function declines in various neurological (dementia, stroke, Parkinson’s, TBI, pain, etc.) and psychiatric (depression, anxiety, developmental disorders, addiction, PTSD, etc.) diseases, design a treatment, and monitor prognosis. In conjunction with the iSyncWave, we provides brain mapping result maps at the source level, norm comparisons, biomarker report, and full details. (iSyncBrain-C is a software medical device that support in the judgment of a doctor and does not diagnose, treat, treat, or replace the advice of a doctor)
Automated AI Denoising
- Machine learning based transient epoch rejections
- AI based component rejections : AI Identification Noise component and rejections
- Manual denoising process for corrections if needed
Individual Analysis
- Component information with dipole source, topomap and spectra
- Sensor level z score topomap : Band specific from delta to gamma and 1 Hz bin
- Power Spectra : Various scales, Zooming, Asymmetry
- Alpha peak activity : peak frequency and amplitude
- Power ratio : TBR1, TBR2, DAR topomap
- sLoreta Source ROI mapping : 2D and 3D z score visualization for voxel and ROI level source activity and connectivity
QEEG norm comparisons
- Sensor level z score topomap : Band specific from delta to gamma and 1 Hz bin
- Power Spectra : Various scales, Zooming, Asymmetry
- Alpha peak activity : peak frequency and amplitude with z scores
- Power ratio : TBR1, TBR2, DAR z score topomap
- sLoreta Source ROI z score mapping : 2D and 3D z score visualization for voxel and ROI level source activity and connectivity
- Source level brain ageing analysis : quick and full report