Delirium and nocturnal-agitation early detection in ICU/geriatric wards

Spots the restless, broken nights that often come days before delirium is diagnosed.

Frontier

Plausible physics, early work — shown honestly as an experiment.

How it works

The system learns each patient's normal pattern of rest and movement overnight. Delirium tends to bring more frequent, more erratic movement and fragmented rest. When the nights drift away from that patient's own normal, a gentle flag is raised for the care team.

In the physics: Delirium motor subtype changes whole-body micro-Doppler statistics: increased frequency and variance of limb/trunk movement bursts, fragmented immobility periods, and altered circadian activity envelope versus the patient's own quiet baseline.

See it work

Preparing the recorded fieldLoading real LatentField pipeline output…

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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

Doppler activity-burst features per epoch adaptive PCA + MVE anomaly manifold with rolling per-patient baseline compartment Kalman + CUSUM detects multi-night drift in the rest-activity envelope

How we prove it

SenseFi/WiMANS to establish robust movement-burst feature extraction; own-hardware overnight ward study correlating the agitation index against nurse-charted CAM-ICU/RASS scores.

Who it is for

'Delirium watch' — nocturnal agitation trending for ICU quality teams targeting delirium-days as a reportable outcome.

The matching solution

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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