SPARK NEUROTECH
Embedded neurotechnology
spark.racingContext
Founding a neurotechnology platform that measures brain activity outside the lab, in cognitively demanding contexts. No existing base. Everything to design.
Problem
Acquire a usable brain signal in an uncontrolled environment, where motion, electrical noise and setup time defeat lab approaches.
Approach
Prototype assembled: 16-channel EEG, multimodal biometric stack (GSR, NTC, IMU), LSL synchronisation. Working acquisition pipeline. Work on artifact rejection in constrained environments (ASR, ICA template projection, ORICA), headset ergonomics, setup-time reduction, and edge inference on SSM architectures.
Result
An operational multimodal acquisition chain and a proprietary technical base. Active build phase, from hardware to signal pipeline.


