Amplitude
2.6 mA
StimIQ Platform
Precision DBS Therapy, Powered by Simulation
StimIQ predicts effective stimulation settings using BGTCS mean-field modeling, PhysioNet PADS training data, and Bayesian optimization designed for real clinical timelines.
10M+
People affected by Parkinsonian tremor.
3x Faster
Estimated convergence for optimal DBS settings.
Signal State
Tremor Index: 0.34
Frequency
142 Hz
Outcome Forecast
Predicted 41% tremor reduction in 14 days.
Problem & Solution
DBS tuning should be data-guided, not trial-and-error.
Parkinson's tremor affects over 10 million people globally. Traditional DBS programming can require repeated visits before parameters stabilize. StimIQ combines physiologically grounded simulation and Bayesian optimization to forecast the most promising setting changes before the next clinic visit.
Biophysical Simulation
BGTCS mean-field dynamics model healthy vs. Parkinsonian loops and stimulation responses.
AI-Powered Scoring
CNN and XGBoost surrogates estimate tremor severity from IMU windows and clinical priors.
Bayesian Optimization
Sample-efficient search over amplitude, frequency, and pulse width reduces tuning cycles.
Clinical Dashboard
Longitudinal monitoring with explainable recommendations and configurable care pathways.
Interactive Demo
Simulated DBS Parameter Explorer
Move settings to preview how a Bayesian search objective may react before entering optimization cycles.
Pipeline Visualization
BGTCS latent states to wearable IMU signatures.
Interact with each stage to see how cortical-basal ganglia dynamics become biomechanical tremor traces and then objective motion features for optimization.
Technology Stack
Built for reproducible science and dependable deployment.
StimIQ combines PyTorch model training, FastAPI orchestration, Redis-driven workflows, and Astro experiences for clinical teams.
P
PyTorch
Loss model training and neural proxies
A
Astro
Static clinician-ready web delivery
F
FastAPI
Optimization APIs and workflow orchestration
R
Redis
Experiment queueing and state synchronization
Use Cases
Designed for care teams, translational labs, and remote monitoring pathways.
Clinician Workflow
Pre-visit data review, suggested DBS parameter deltas, and rationale that can be discussed in minutes.
Research Studies
Run virtual cohorts, compare stimulation policies, and export interpretable metrics for publication pipelines.
Patient Monitoring
Track longitudinal trends from wearables and detect response drift before symptoms escalate.
Testimonials
Clinician feedback from pilot collaborations.
"StimIQ cut our DBS parameter search from weeks to a handful of focused appointments."
Dr. Lena Miettinen
Movement Disorders Neurologist
"The BGTCS-driven simulation gave our research team a credible baseline for protocol testing before patient trials."
Prof. Mark Hallberg
Neuroengineering Lab Lead
"We finally have wearable analytics that connect directly to actionable tuning recommendations."
Dr. Sofia Ren
Clinical Data Scientist
Ready to personalize DBS pathways?
Request a StimIQ demo for your team.
Discover how simulation-informed recommendations and wearable metrics can improve tuning efficiency and patient outcomes.