A closed-loop wearable platform that detects compensatory movement patterns, monitors tissue health, and delivers adaptive alerts through bone conduction — built for the gap between your last surgeon visit and your next one.
Every sensor feeds a unified adaptive threshold engine. No modality operates in isolation — the system correlates biomechanical, tissue, and physiological signals to detect patterns invisible to any single measurement.
Tracks how your neck moves and detects compensatory patterns. Dual 9-axis BNO055 IMUs with quaternion-based orientation tracking capture cervical kinematics at the segmental level.
Sees inside tissue without imaging. 785nm laser + broadband NIR LEDs (660–940nm) with cross-polarized film monitor tissue oxygenation and hemodynamic changes in cervical musculature.
Detects swelling and tissue changes early. Tetrapolar electrode configuration tracks tissue composition and edema — indicators of inflammatory response at adjacent segments.
A psychoacoustic alert framework delivers adaptive alerts through bone conduction transducers. Prediction error scheduling and tempo calibration prevent alert fatigue while maintaining attentional capture.
PVDF piezo film for mechanical strain and pulse detection. Sub-millisecond temporal resolution enables cardiac rhythm monitoring and swallowing assessment from cervical contact.
FSR402 force-sensitive resistors monitor contact pressure and optical coupling consistency. Validates sensor placement and detects postural loading asymmetries in real time.
The breadboard proves the sensing chain works. The FPGA-based system adds ultrasound beamforming for tissue imaging at clinical resolution.
ESP32-S3 (N32R16V) dual-core MCU running FreeRTOS with 17 firmware modules. Validates all 5 sensing modalities on a breadboard before committing to PCB layout.
Validation BOM: ~$540–550 actual cost for complete breadboard prototype. Components sourced across Mouser, DigiKey, Adafruit, Roithner Lasertechnik, Seeed Studio. Volume production BOM targets sub-$200.
Lattice ECP5 FPGA (Colorlight i9) for CMUT ultrasound beamforming. Adds volumetric tissue imaging at resolution exceeding conventional B-mode ultrasound in a wearable form factor.
Retains ESP32-S3 for comms and sensor fusion. The FPGA handles the parallel DSP that a microcontroller can't.
In 2007, I injured my cervical spine. For 18 years, my body built compensatory patterns around damaged proprioceptive input — invisible to every clinician, undetectable by every device. In May 2025, I had a C4-C6 ACDF fusion. The surgery fixed the structural problem. The 18 years of neurological recalibration? Still running.
AIDLAS exists because the monitoring gap between quarterly surgeon visits and daily reality is where patients silently deteriorate. No wearable on the market detects cervical compensatory patterns. No consumer device correlates postural, tissue, and physiological data into a unified assessment. The biomechanical research documents exactly what should be measured — AIDLAS is the device that measures it.
Before founding iJarvis, I spent 7+ years as a Senior PM at Pixalate leading data integrity and fraud detection products across programmatic advertising. Before that, I was an auditor at EY. I have dual degrees in Accounting and Finance from Florida State University. The analytical rigor transfers — detecting compensatory movement patterns isn't that different from detecting fraud patterns in data streams.
CJ Schwarz
Founder & CTO, iJarvis LLC · Brandon, FL
Grant applications in progress. Hardware validation underway. Wefunder campaign targeting Q4 2026.