Healthcare & Hospitals Physics limit

Fluid-status trend monitor

Thoracic/bladder fluid-shift trending (NeRF tissue-water imaging)

People wish WiFi could watch fluid building up inside the lungs or bladder.

Read the physics limit Open explanatory blueprint See how it works

Readiness Physics limit

Retained for transparency, but blocked from execution because the catalog physics review rejected it.

Evidence Unvalidated concept

An early research proposal with no capability-specific product validation yet.

Runtime family Not mapped

No browser runtime is assigned to this capability yet.

Why live sensing is unavailable

Penetration depth in high-water tissue at 2.4/5GHz is only ~1-3cm; after two-way tissue loss, deep thoracic/bladder fluid changes are far below the CSI noise floor. Commodity WiFi cannot image internal organ water content - the claimed internal-eps_r observable does not survive body attenuation.

Intended capability

Evaluate the sensing evidence for “Thoracic/bladder fluid-shift trending (NeRF tissue-water imaging)” in a consented, ground-truthed study. This is not a medical device, clinical monitor, diagnosis, or emergency alert.

This describes the intended outcome. Readiness is physics limit, evidence is class C, and a catalog mapping or recording is not proof of this outcome at a real site.

Solution blueprint

This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.

Physics limit

No rendered revision is available yet.

Bundled recording

A related Healthcare scene

This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.

01 The physics

Body water content dominates tissue permittivity (water eps_r~80); accumulating lung/interstitial fluid or a filling bladder raises the localized eps_r and alters through-body path attenuation and scattering at that anatomical delay bin, exactly what the field-reconstruction stage is built to map.

02 Shared processing path

CIR delay bin over the thorax/pelvis -> RFF/NeRF eps_r field reconstruction of the region -> compartment Kalman dynamics + CUSUM slow-drift over days to flag fluid accumulation vs. the patient's dry baseline

This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.

03 Validation plan

Own-hardware phantom study first (graded saline volumes in a torso/bladder phantom vs. measured volume), then observational trial trending the eps_r index against clinical net fluid balance / bladder-scanner readings; EHUNAM through-body propagation data to bound feasibility.

04 Commercial hypothesis

'Fluid-status trend monitor' — decongestion-management aid for heart-failure and post-op urology teams reducing readmissions/retention events.