Healthcare · Strong theory

Rhythmic-motor seizure detection in monitored beds and EMU

Detects the strong rhythmic shaking of a seizure and alerts staff, day or night.

Strong theory Strong theory live in runtime

The physics is solid; our own validation is scheduled.

A convulsive seizure shakes the whole body in a fast, regular beat — much more regular and forceful than restless sleep. That beat shows up clearly in how the WiFi signal wobbles. The system flags it and pages someone right away.

In the physics: Generalized tonic-clonic activity produces a highly periodic, large-amplitude limb/trunk oscillation at ~2-5Hz — a narrowband high-energy micro-Doppler tone far more regular and forceful than normal restless movement.
Preparing the recorded fieldLoading real LatentField pipeline output…

This is real pipeline output for Healthcare, replayed. The exact reading depends on your room.

Bring this into the real roomPatient Room Field Node3 sensing nodes · ~$140 parts · about 60 min
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How the field becomes an answer

Micro-Doppler spectral analysis for a sustained 2-5Hz rhythmic peak PCA+MVE anomaly manifold to separate seizure rhythmicity from voluntary repetitive motion Doppler energy + duration threshold for alert

How we prove it

SenseFi/WiMANS for rhythmic vs. non-rhythmic movement discrimination baseline; own-hardware trials with an actuator/volunteers producing 3Hz rhythmic motion vs. video-EEG-annotated event proxies.

Who it is for

'Nocturnal seizure alert' — for epilepsy/neuro units and SUDEP-risk programs needing camera-free convulsion detection.

runtime Runs today in LatentField 2.0 as machine_vibration

Complete first-room estimatePatient Room Field Node3 nodes · ~$140 parts · 60 min Request kit, subscribe, or set up →
Compatible DIY hardware options
Practitioner Discrete$60–90

15 min · beginner

Operator Single-Venue$280–380

120 min · advanced

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