AI-Driven Neural Interaction Engine

At the core of DeepWisdom is turning extremely weak EEG signals into understandable, executable digital commands. Through 15 years of HKU lab accumulation, we built a closed loop from hardware acquisition to software algorithms.

8
Channel Flexible High-Precision Sensors

Traditional EEG collection requires conductive gel. DeepWisdom developed a new generation of semi-dry highly conductive polymer sensors. With a proprietary 8-channel layout, it precisely captures frontal and temporal brainwave activity without compromising comfort.

  • Sampling rate up to 1000Hz
  • CMRR > 110dB
  • Ultra-low power: 48-hour continuous monitoring
Technical specifications diagram
Technical Specs
ISO-13485 medical device certification
MindLens
MindLens
"MindLens"
Real-time Feature Extraction Algorithms

Our proprietary MindLens engine uses deep learning to process complex EEG signals in milliseconds, automatically filtering artifacts like blinking and chewing.

Focus Quantification
Real-time algorithm for beta intensity and theta suppression
Emotion Bias Recognition
Analysis of left-right prefrontal asymmetry
Sleep Stage Monitoring
Accurate differentiation of REM and deep sleep
Anxiety Risk Alerts
Emotion stability assessment combining HRV and brainwaves

Data Sovereignty & Privacy Protection

We know EEG data is sensitive. DeepWisdom uses a “local compute + end-to-end encryption” architecture. Raw waveform features are processed on-device; only anonymized indicators sync to the cloud.

AES-256 Encrypted StorageGDPR-Compliant PrivacyFederated Learning Framework