Prototype → Clinical

AI-Driven Adaptive neuromodulation for tremor.

TUKA is a wrist-worn device that detects tremor in real time and delivers closed-loop vibrotactile stimulation. We have a working prototype and a clear plan to reach a clinical-grade system with new features and validation at Western University.

Essential Tremor Parkinson’s Tremor Closed-loop Edge AI Low-power
TUKA prototype on wrist

Why TUKA

Problem

Millions live with disabling tremor

Medication doesn’t work for everyone and deep-brain stimulation is invasive and costly. Patients need a safe, portable option that works during daily activities.

Opportunity

Non-invasive, on-demand relief

TUKA delivers patterned vibrotactile cues that can entrain motor circuits and ease tremor amplitude while preserving comfort and mobility.

Edge

Closed-loop + AI

We detect tremor onset and characteristics with on-device inference, then adapt stimulation parameters in real time to maximize effect while minimizing energy.

Working prototype
Roadmap to clinical validation
Built with Western collaborators

How it works

Detection

  • High-fidelity IMU (accelerometer/gyro) for tremor frequency & amplitude.
  • Optional EMG patch connector for muscle activity patterns.
  • On-device AI for tremor classification & onset detection.

Therapy

  • Closed-loop vibrotactile stimulation with adaptive intensity and pattern.
  • Safety limits and user-selectable modes (assist, train, rest).

System

  • Low-power MCU, rechargeable battery, and compact form factor.
  • Secure BLE link to companion app for updates & remote logging.
  • Cloud dashboard for anonymized analytics (opt-in).

Who it’s for

Essential Tremor

Focus on intention tremor during actions like eating, writing, or pouring.

Parkinson’s Tremor

Target resting & re-emergent tremor episodes with responsive therapy.

Rehab & Training

Optional modes for physiotherapy exercises and home-based training.

Science @ Western

Roadmap: Hyperspectral NIRS / DCS module

We plan an add-on optical module to study microvascular and metabolic correlates of tremor and stimulation response. This informs personalization and dosage.

  • hsNIRS for chromophore dynamics (Hb/HbO2, water).
  • DCS for microvascular blood-flow indices.
  • Joint modeling → adaptive stimulation policies.

Validation plan

  1. Bench testing & algorithm tuning on synthetic tremor.
  2. Pilot with healthy volunteers for comfort & safety.
  3. Feasibility study with ET/PD cohorts (n≈10–20).
  4. Iterate for clinical-grade hardware + regulatory pathway.

Prototype

Current prototype shown—moving to a refined clinical build with improved ergonomics, battery life, and manufacturability.

Team & Advisors

Co‑Founders

Mohammad Hossein Namazi — Co‑Founder
Master of Applied Science, Biomedical Engineering — Western University
Focus: wearable sensing, optical imaging, and AI for healthcare.

Sayyedshayan Nikouie — Co‑Founder
MEng in Chemical & Biochemical Engineering — Western University
Focus: product development, materials integration, and system optimization.

Advisors

Masoud Rahmati — Advisor
Master of Business Administration
Focus: strategy, business development, and commercialization.

FAQ

How is TUKA different from existing tremor wearables?

TUKA combines on-device AI detection with truly adaptive, closed-loop stimulation and a research-grade roadmap for physiological monitoring (hsNIRS/DCS) to personalize therapy.

What’s the IP strategy?

We focus on patent-clean implementations (signal processing, stimulation policies, and optical integration) and conduct an FTO review before the clinical build.

What’s the requested support?

Seed funding and institutional support for clinical-grade hardware, pilot studies, and regulatory preparation.

Contact

Interested in partnering, funding, or piloting?

Email: contact@tuka.com