Author here. We built a system that synchronizes live EEG with high-resolution pressure-sensing floors (10 Hz, pixel-level gait tracking), currently in clinical trial for early detection of mobility decline in neurodegenerative disease.
The core problem: by the time gait instability is clinically obvious, significant neural decline has already occurred. We're trying to catch it earlier, ideally at a level where cognitive load and motor control first start to interact differently.
The fusion algorithm combines theta-band EEG activity with floor-measured step asymmetry into a single index. The goal is to identify patients who'd benefit from early physical/cognitive therapy before fall risk becomes severe, and potentially slow disease progression. Additionally, we hope to develop concrete evidence of how surface aesthetics (like floor patterns) directly impact mobility health.
The longer vision: spaces that reduce neural friction for vulnerable populations. Not just measuring decline, but designing environments that actively support cognitive-motor health. Identify patterns that meaningfully spike cognitive load. For someone with early Parkinson's or cognitive decline, that extra neural tax could be the difference between stable gait and compensation patterns that accelerate decline.
Still early (hypothesis stage on some claims, active data collection on others), but the measurement infrastructure is operational. Happy to answer questions about the sensor fusion, clinical trial design, or neurodegenerative biomarkers.
p_gloom•1mo ago
The core problem: by the time gait instability is clinically obvious, significant neural decline has already occurred. We're trying to catch it earlier, ideally at a level where cognitive load and motor control first start to interact differently.
The fusion algorithm combines theta-band EEG activity with floor-measured step asymmetry into a single index. The goal is to identify patients who'd benefit from early physical/cognitive therapy before fall risk becomes severe, and potentially slow disease progression. Additionally, we hope to develop concrete evidence of how surface aesthetics (like floor patterns) directly impact mobility health.
The longer vision: spaces that reduce neural friction for vulnerable populations. Not just measuring decline, but designing environments that actively support cognitive-motor health. Identify patterns that meaningfully spike cognitive load. For someone with early Parkinson's or cognitive decline, that extra neural tax could be the difference between stable gait and compensation patterns that accelerate decline.
Still early (hypothesis stage on some claims, active data collection on others), but the measurement infrastructure is operational. Happy to answer questions about the sensor fusion, clinical trial design, or neurodegenerative biomarkers.