Live Oscilloscope Waveforms (256 Hz Synthetic EEG)
CHANNEL:
Raw Unfiltered uV Filtered DSP (8-30Hz)Target Intent Cue: REST
Signal Generator & Simulation Controls
Amplitude50 μV
Noise Ratio15%
LDA Pattern Classifier & Intention Engine
Detected Intention Command
REST85% Confidence
Classified via Mu Rhythm (8-13Hz) ERD desynchronization across C3 & C4
Latency120 ms
Mu Asymmetry0.00
Class Probabilities Distribution
REST85%
LEFT5%
RIGHT5%
SELECT5%
C3 MU POWER12.00 μV²
C4 MU POWER12.00 μV²
SSVEP 10Hz PEAK0.00 μV²
SSVEP 12/15Hz PEAK0.00 μV²
Virtual Robotic Arm Task Arena
Tasks Completed: 0
Arm Status
X: 300 px|Claw: OPEN
LEFTTranslate Left
RIGHTTranslate Right
SELECT / SSVEP 12HzGrasp / Release
RESTHold Position
Automated Experiment System & Analytics
Run batch simulated BCI trials to evaluate algorithm accuracy and response times.
ACCURACY
0%
0 / 0 Correct
AVG CONFIDENCE
0%
Mean probability
AVG LATENCY
0 ms
Classification delay
NOISE PARAMSNR
15%
Signal perturbation
Stage-by-Stage DSP Pipeline & FFT Spectral Power
BCI Science & Architecture Reference
How software translates bio-electric brain oscillations into cybernetic control.
STEP 01
SYNTHETIC SIGNAL
Generates 256Hz microvolt waveforms for channels C3, C4, Cz, and O1 with pink noise & EMG/Eye blink artifacts.
STEP 02
DSP FILTERING
50Hz IIR Notch filter cuts powerline hum; 8-30Hz Bandpass isolates sensorimotor Mu and Beta oscillations.
STEP 03
FFT EXTRACTION
Radix-2 Fast Fourier Transform decomposes time-domain samples into spectral power densities across bands.
STEP 04
LDA CLASSIFIER
Linear Discriminant Model calculates Mu rhythm asymmetry index (C4-C3)/(C4+C3) to infer motor intention.
STEP 05
ACTUATOR ACTION
Classified commands drive the virtual 2D robotic arm with real-time audio chime feedback.