Mental States
NeuroLab's primary goal is to classify human brain activity and emotional markers into actionable mental states. The system currently recognizes three primary states.
Classification Schema
| ID | State | Description | Physiological Indicators | | :--- | :--- | :--- | :--- | | 0 | Relaxed | Calm, neutral, or meditative states. | High Alpha power, low heart rate variability. | | 1 | Focused | High cognitive load, alert, or engaged. | Increased Beta power, Gamma spikes in frontal lobes. | | 2 | Stressed | Anxiety, fear, or high pressure. | High Beta/Gamma ratio, irregular audio pitch, elevated arousal. |
How it's Calculated
The classification is a result of Multimodal Fusion:
1. EEG Features
We analyze signal power bands from frontal and temporal lobes:
- Alpha (8-13 Hz): Predominant during relaxation.
- Beta (13-30 Hz): Associated with active thinking and stress.
- Gamma (>30 Hz): High-level information processing.
2. Voice Markers
Using the Librosa library, we extract:
- Mel-frequency cepstral coefficients (MFCCs)
- Spectral Centroid (Brightness of sound)
- Zero Crossing Rate (Noisiness/Urgency)
Clinical Significance
- Relaxed State: Used to measure the effectiveness of meditation or therapy.
- Focused State: Used in workplace productivity studies or ADHD monitoring.
- Stressed State: Critical for early intervention in high-pressure environments or anxiety management.
Real-time Biofeedback
The Platform provides real-time visual feedback. When a user enters a Stressed state, the system can trigger automated notifications or suggest breathing exercises based on the severity and duration of the state.
Next: EEG Signal Processing