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BioNorth

Restoring Movement Through Neural Intelligence

Website Status Patent License


What We're Building

BioNorth is developing the TrueNorth Neural Headset — a closed-loop, non-invasive brain-computer interface (BCI) that detects and treats freezing of gait (FOG) in Parkinson's disease patients in real time.

Freezing of gait is a sudden, episodic inability to walk despite the brain's full intent to move. It triples fall risk and has zero FDA-cleared EEG-triggered solutions on the market today.


The Core Innovation

Every prior BCI-FES system stimulates on motor intent alone. TrueNorth stimulates only when a freeze is confirmed — and stops the moment muscle response is verified.

Motor Cortex → EEG (Cz/FCz/Fz) → ADS1299 ADC → nRF5340 DSP
    → Butterworth Filter → Band Power (θ/μ/β) → State Machine
        → [Intent ✓ + EMG ✗] = FREEZE DETECTED
            → FES Pulses → Tibialis Anterior → EMG Confirms → STIM OFF

The closed loop:

Step Signal What It Does
1 EEG μ/β desynchronization Detects motor intent
2 EMG (tibialis anterior) Monitors muscle response
3 Intent ✓ + EMG ✗ Classifies freeze state
4 Biphasic FES pulses Drives dorsiflexion
5 EMG confirmation Terminates stimulation

Why It Matters

Stat Impact
1M+ Americans Experience freezing of gait
~38% of Parkinson's patients Report FOG episodes
3× higher fall risk During a freeze
0 FDA-cleared devices That use EEG-triggered FES for FOG

Tech Stack

Hardware

OpenBCI EMG FES MCU

Firmware & Signal Processing

Python C DSP

Website

React GitHub Pages


Roadmap

[●] P0 — Prototype Stabilization · Baseline Dataset · Patent Docs   ← NOW
[ ] P1 — On-Subject Validation · Provisional Patent
[ ] P2 — Custom PCB · Module Integration · Mobile App
[ ] P3 — Clinical Prototype · IRB Pilot (10–20 subjects) · FDA Pre-Sub
[ ] P4 — FDA 510(k) Submission · ISO 13485 · Manufacturing Partner
[ ] P5 — Commercial Launch · Series A

28–36 month path to FDA 510(k) clearance.


Projects

Repo Description
BioNorth-Main Main website & product documentation
AiMetr Multi-provider AI usage monitor with ESP32-S3 hardware companion

Recognition

National Innovator Challenge 2025 — Winner · University of San Diego

Built by high school students in Florida.


📧 biotech@bionorth.us · 🌐 bionorthtech.github.io/BioNorth-Main

Currently seeking clinical partners and early-stage funding.

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