ViFi Roadmap

Contactless patient monitoring on ~$44 of commodity WiFi hardware per hospital bed. HR is validated on real hardware today; everything else runs on the same CSI stream and the same pair of ESP32-S3 nodes.


Status board

CapabilityStatus
Heart rate (HR)Shipped — 4.15 bpm cross-session MAE on real ESP32-S3 hardware (results)
Respiratory rate (RR)Pipeline + synthetic regressor only; awaiting first Vernier paired captures
Per-subject calibration + RF fingerprintingShipped
Multi-subject “walks in the room” detectionShipped — rolling fingerprint + hysteresis
Out-of-distribution suppressionShipped — Mahalanobis distance, chi-square 99% threshold
Confidence-interval suppressionShipped — quantile XGBoost, configurable width
Per-prediction audit logShipped — JSONL, daily-rotating, FDA-ready
Paired-capture orchestratorShipped — one-command 3-logger session
Synthetic CSI generatorShipped (sanity check)
Per-packet CSI ingestShipped — live API endpoint
ESP32 capture + HR loggerShipped — hands-free 2-min paired capture
Presence / occupancyShipped (variance threshold)
Apnea detectionStub
Transient-event loggerStub
Gait / walking-speedStub (WiGait reference)
Fall detectionStub (WiFall reference)
4-receiver multi-node array (deterministic identity)Stub

In flight (next 4 weeks)

MilestoneTargetDeliverable
Multi-subject HR validationMay 202610+ subjects, varied HR ranges, target cross-subject MAE <3 bpm
Multi-room validationMay 20263+ rooms, fixed subject, measure setup-specific bias
Walk-in detection validationMay 2026Run the multi-subject walk-in protocol, validate detector thresholds
Respiratory-rate paired capturesMay 2026Vernier belt arrives; first paired CSI + RR sessions

Stage 2 (months 2–4)

CapabilityPrior artGround truth
Apnea detectionApneaApp (UW 2015)recording pulse oximeter
Transient-event loggernone — clinical wedgesame HR/RR stream
Improved subcarrier featuresper-subcarrier ensemble
Phase-domain featuresPhaseBeat (CFO/SFO calibration)

Stage 3 (months 4–8)

CapabilityPrior artGround truth
Gait / walking speedWiGait (MIT CSAIL 2018)timed course, pressure mat
Fall detectionWiFallactors + crash mat
4-receiver multi-patient arrayICA + AoA4× ESP32-S3 array

Stage 4 (months 6–12)


Stage 5 (months 12–18)


Long-term / research (12+ months)


Out of scope (wrong physics for WiFi CSI)

CapabilityWhy notAlternative
Blood oxygen (SpO₂)Optical sensor, not RF$5 PPG add-on module
Body temperatureIR sensor, not RF$10 IR thermometer add-on
Blood pressureOpen research problem industry-wideNone pursued
ECG waveformRequires direct skin contactNone pursued

Hardware BOM

v1 — 2-node room (single Tx + single Rx, statistical identity)

ItemQty~$
ESP32-S3-DevKitC-1U-N8R8230
Dual-band 2.4/5 GHz RP-SMA antenna28
IPEX1 U.FL → RP-SMA Female pigtail, 8”26
Total per room (v1)~$44

Replaces a $5,000 ward bedside monitor. >100× cheaper. Statistical multi-subject identity via RF fingerprinting (shipped).

v2 — 4-node room (1 Tx + 3 corner Rx, deterministic spatial identity)

Same per-board cost ($22). Add 2 more nodes: **$88 per room**. Multi-perspective CSI fusion gives full 3D triangulation, deterministic multi-subject discrimination, redundancy across boards.

ConfigBoards~$vs $5K ward monitor
v1 (Tx + Rx)2$44114× cheaper
v2-min (1 Tx + 2 Rx)3$6676× cheaper
v2 (1 Tx + 3 corner Rx)4$8857× cheaper
v2 + isolated AP (HIPAA-clean deployment)4 + AP$11842× cheaper

Per first capture kit (development)

Add Polar H10 chest strap ($90) for HR ground truth during dataset collection.


Regulatory path

Wellness-grade products first (presence, falls, gait): no FDA clearance required. Target: first paying hospital customer 9–12 months post-funding.

Vitals-grade products (HR, RR, apnea): FDA 510(k) Class II. Target: ~18 months post-funding, ~$300K all-in.


Engineering details

The full code — DSP pipeline, capture orchestrator, training scripts, prediction service, calibration, RF fingerprinting, audit log, and 102-test suite — is kept private during pre-clearance development. Available for technical review under NDA for investors, hospital partners, and prospective collaborators. Email popowitzzm@gmail.com.

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