University of Pennsylvania  ·  ESE 5190
Product GAIA — Gait Analysis Intelligence System

Movement is data.
Data is health.

Soliton Corp's GAIA translates the biomechanics of human motion into continuous clinical intelligence — six sensors, one platform, lab-grade accuracy under $150 BOM.

Clinical gait analysis is broken.

$50K
The average cost of a clinical gait analysis session in a traditional lab setting — putting continuous monitoring completely out of reach for most patients.
67M
Americans living with neurological conditions where gait is a key diagnostic marker — including Parkinson's, MS, and post-stroke recovery.
0
Wearable solutions currently cleared for continuous clinical gait monitoring. The field has operated without a real-world solution — until now.

Introducing GAIA.

A shoe-mounted six-sensor array capturing the full biomechanical signature of human motion — continuously, passively, at a hardware cost under $150.

Sensor Array — Top-Down View
TOE ARCH HEEL FSR 1 HEEL FSR 2 TOE LSM6DSO 6-Axis IMU I²C FLEX 1 dorsiflex FLEX 2 plantarflex
Interlink FSR-402 (×2) — heel + toe plantar pressure
STMicro LSM6DSO — ±2g accel · ±250 dps gyro (I²C)
Spectra Symbol Flex (×2) — dorsiflexion · plantarflexion
Continuous

Passive, in-environment monitoring

GAIA transmits 10-field CSV packets at 0.8 Hz via Nordic UART BLE — capturing heel strike, toe-off, and swing phases throughout natural daily activity. No lab visit required.

Precise

Multi-sensor biomechanical fusion

LSM6DSO at ±2g / ±250 dps fused with Spectra flex sensors and Interlink FSRs. Bare metal C firmware on ATmega328PB ensures deterministic, synchronized sampling across all six channels.

Actionable

Structured clinical reporting

The Flutter mobile app parses GAIA's stream into gait cycle segmentation, real-time charts, and exportable CSV — data shaped for clinical decision-making, not raw sensor inspection.

Built for the conditions that matter most.

From chronic neurological monitoring to post-surgical recovery, Soliton Corp closes the data gap between clinic visits.

🧠

Parkinson's Disease

Gait freezing detection, shuffle pattern analysis, and medication response tracking — continuously, between appointments. Quantify what the clinical eye cannot consistently see.

Stroke Rehabilitation

Asymmetry monitoring across thousands of daily steps. Recovery trajectory data drives objective discharge readiness decisions — grounded in data, not clinical intuition alone.

🦴

Post-Surgical Recovery

Weight-bearing compliance, load distribution, and return-to-activity clearance grounded in real biomechanical evidence — not patient self-report or weekly clinic check-ins.

🌿

Fall Prevention

Predictive instability markers, balance degradation trends, and proactive intervention triggers — identified before the fall occurs, not documented after the injury.

Why Now

"Gait patterns encode more diagnostic information than most clinicians currently measure — and until now, there was no way to capture them continuously."

Soliton Corp Research Foundation

$395M market growing to $1.99B by 2033

The global gait analysis market is expanding at 18.2% CAGR, driven by aging populations, neurological disease prevalence, and the shift to remote patient monitoring. North America alone represents 40% of current demand.

CMS reimbursement codes unlocked a commercial pathway

CPT codes 99453–99458 for remote physiological monitoring created a billing structure for continuous biomechanical data that didn't exist three years ago. Payers are now actively incentivizing the outcome-based care GAIA enables.

FDA 510(k) pathway identified — predicate devices exist

GAITRite (K033208), Zeno Walkway (K082010), and APDM Opal (K163627) establish substantial equivalence precedent under product code PBR. Our regulatory timeline is defined, not exploratory.

Sensor cost curves make this possible now

The LSM6DSO IMU costs $12 at volume. Flex sensors and FSRs are commodity components. GAIA's full BOM is $125.84 — what once required a $50K lab installation now ships in a shoe-mounted module.

Rigorous engineering. Real clinical constraints.

Every component chosen for accuracy, reliability, and clinical-grade data integrity — then validated under real-world conditions.

Firmware
ATmega328PB
Bare metal C — four-phase sequential model: ADC sample → I²C IMU read → CSV format → BLE TX. 32KB flash (46% utilized), 2KB SRAM. No RTOS overhead; deterministic 1.25s cycle time.
IMU
STMicro LSM6DSO
±2g accelerometer (16,384 LSB/g sensitivity) + ±250 dps gyroscope (131 LSB/dps). Software bit-bang I²C (PC4/PC5) for bus isolation from SPI. Outputs scaled to milli-g and milli-dps.
Wireless
Bluefruit LE SPI
Nordic nRF51822 via SDEP protocol over SPI. Nordic UART Service (NUS) for transparent serial transmission. 10-field CSV packets in 96-byte buffer at 0.8 Hz. 1,000ms post-TX delay ensures packet integrity.
Pressure
Interlink FSR-402 ×2
Heel (PC2) + toe (PC3) plantar pressure. Inverse voltage response — ADC 950–1000 = no contact; ADC 50–200 = maximum force (>10 kg). 10kΩ voltage divider on 3.3V rail.
Kinematics
Spectra Symbol Flex ×2
Dorsiflexion (PC0) + plantarflexion (PC1). Resistance-based angle sensing via voltage divider. 4.7kΩ pullup optimized for full 0–1023 ADC range. ~0° flat = 600–650 counts; ~90° bend = 0–100 counts.
Mobile
Flutter App
Dart/Flutter cross-platform (iOS + Android). flutter_blue_plus for Nordic NUS stream parsing, fl_chart for real-time visualization. Gait cycle detection (heel strike, toe-off, swing phase). CSV export to device storage.
🎓 University of Pennsylvania

The team.

MSE/EE candidates building at the intersection of biomedical sensing, firmware engineering, and clinical software.

VR
Co-Founder & CEO
Vihaan Ravishankar
MSE Candidate, University of Pennsylvania
Lead firmware architect and embedded systems designer. Business strategy and capital. Background in Penn GRASP Lab robotics research and bare metal C programming.
KM
Co-Founder & Hardware Lead
Krishna Madhur
MSE Candidate, University of Pennsylvania
Sensor integration, PCB design, and system validation. Background in analog circuit design, voltage divider optimization, and power electronics.
AD
Co-Founder & Software Lead
Anirudh Devarakonda
MSE Candidate, University of Pennsylvania
Flutter mobile app, BLE data pipeline, and cloud infrastructure. Background in full-stack development and machine learning for biomedical applications.

Partner with Soliton Corp.

We're seeking clinical partners and investors who understand the scale of this opportunity.

For Clinical Partners

Run a Pilot Program

We're seeking physical therapy clinics, neurology practices, and rehabilitation centers for paid pilot programs. Bring lab-grade gait analysis to your patients for a fraction of current costs.

Apply for a Pilot
For Investors

Join the Pre-Seed Round

Soliton Corp is raising a pre-seed round. We have a working prototype, secured IP via NOCs, and an identified FDA 510(k) pathway. The timing is right. The team is ready.

Request a Deck
Or reach us directly at team@solitoncorp.net