Name: NeuroSync ERP
Availability: OnlineOnly
Author: NeuroSync

Sessions Today

24

▲ 12% vs yesterday

Active Users

8

3 physicians · 5 researchers

Signal Quality

95%

EXCELLENT · 19 CH

Latency

120ms

within normal range

Paradigm

—

awaiting file

EEG Band Power demo

Signal Accuracy

FBCCA / SSVEP—

Motor Imagery—

ERP / P300—

Dominant—

Subject Info

ID

— not loaded —

Age / Sex

—

Session

—

Paradigm

—

Duration

—

Fs

—

BCI Paradigm ClassificationREAL DATA · WELCH PSD

🔒

BCI Classification requires login

Telemetry

CPU12%

Memory45%

Signal—%

Buffer31%

Delta Power—

3D Skull · Electrode Montage

ALL δ α β

SKULL · 10-20 · DRAG TO ROTATE

BRAIN REGIONS

🔒

3D Montage requires login

3D Brain · Power Heatmap

ALL δ θ α β γ

ANATOMICAL BRAIN · DRAG

LOW

HIGH

🔒

3D Heatmap requires login

EEG Timeseries · Real Data

🔒

Waveforms require login

Spectra LDA · SLDA Projection

LD1 vs LD2 PAZ OFF

🔒

SLDA requires login

PAZ · Posterior Ambiguity Zone

ε = 0.15 ⊕ Zoom

Ellipsoids

SLDA Axis

Density

tap to zoom

Class A (Orange)

—

Class B (Teal)

—

PAZ Ratio

—

Ambiguous

—

Stable

—

Status

Clinical Inference

Load an EDF file to see clinical inference

ε 0.15

🔒

PAZ analysis requires login

Report History · Loaded EDF Files + Upload New

EEG Signal Analysis

Per-channel band decomposition · Real Welch PSD from loaded EDF files

Full Band Power Spectrumselect file

Band Ratios

Delta / Theta Ratio

—

Cognitive load indicator

Alpha / Beta Ratio

—

Relaxation vs alertness

Theta / Alpha Ratio

—

Engagement index

Live Telemetry

System health · Signal quality · Acquisition pipeline

Connection

LIVE

WebSocket · 250Hz

Electrode Impedance

—

kΩ average

Packet Loss

0.2%

within threshold

Noise Floor

—12dB

SNR excellent

Signal Quality · Per Channel

System Status

CPU12%

RAM45%

Disk I/O8%

Network2%

AWS EB · ap-south-1 · t3.medium

Reports & Analysis History

All processed EDF sessions · Click to reload analysis

Session Files3 demo + uploaded files

Spectra LDA · PAZ Analysis

Posterior Ambiguity Zone detection · Linear discriminant projection

SLDA Theory

SLDA Projection

W = argmax{ |Wᵀ S_B W| / |Wᵀ S_W W| }

Between-class vs within-class scatter

PAZ Definition

PAZ = { x : max P(Cₖ|x) − 2nd max P(Cₖ|x) ≤ ε }

Posterior ambiguity zone threshold ε

Class Posterior

P(Cₖ|x) = πₖ · p(x|Cₖ) / Σⱼ πⱼ · p(x|Cⱼ)

Bayes posterior via Gaussian class-conditionals

PAZ Algorithm Steps

${['Project samples: Z = WᵀX','Compute Δᵢ = max P(Cₖ|zᵢ) − 2nd-max P(Cₖ|zᵢ)','If Δᵢ ≤ ε → mark zᵢ as PAZ','PAZ ratio = |PAZ| / N_total','If ratio > τ → trigger SLDA re-regularisation'].map((s,i)=>`

${i+1}. ${s}

`).join('')}

SLDA Live Projection

PAZ Live Canvasε = 0.15

User Profile

Account settings · Permissions · Session data

Account

👤

— Not logged in —

—

Permissions

Login to see permissions

Session Stats

Files Analysed

0

Last Active

—

Token Status

—

Portal Version

v2.5.0 · AWS EB

Session History

All analysis sessions · Results log

Analysis Log

Settings

Portal preferences · API configuration · Backend endpoints

Backend API

API Base URL

EEG Upload Endpoint

Auth Endpoint

Analysis Parameters

Default Sampling Rate (Hz)

Welch Window (samples)

Default Montage

PAZ ε Default

About NeuroSync ERP

NeuroSync ERP

Cognition · Care · Capability

v2.5.0 · AWS Elastic Beanstalk

SSIP Neural EEG Module

EDF · BDF · MAT · CSV · Three.js · Chart.js

Dashboard

🔐 NeuroSync Access Portal

Account Created!

⬆ Upload EEG File

👑 Super Admin Access

Super Admin Access Granted