Medical devices

Wound Monitoring Platform / Tabby

Soft multimodal sensing patch for continuous wound monitoring and prediction of wound-healing progression.

completed 2024–2025 WearablesWound monitoringThermal sensingPreclinical
Type product / research
Skills Thermal sensing, Humidity sensing, Soft patch design, Animal models

Selected facts

Quantitative details and source-backed proof points.

NIH R43 Phase I sensing program with prototype-to-grant-deliverable execution in approximately one year.

Biohub deck device metrics: 40 mAh battery, 20 subjects, and 7 days hourly use per charge.

Reusable encapsulated electronics plus disposable adhesive sensing interface.

Raw temperature, humidity, and thermal-response signals converted into analyzable features.

Linear regression model built from 10 control and 10 diabetic mouse subjects and evaluated with 5-fold cross-validation.

Project summary

Why it exists, what I built, and what I learned.

Why I built it

I wanted to adapt the FlowSense sensing stack to a different physiological monitoring problem with a soft wearable patch.

What I built

Sensor selection, prototype fabrication, thermal-transfer simulation, wound-data collection, and preclinical analysis workflows.

What worked

The platform showed how thermal, humidity, and temperature sensing could track wound-healing progression over time.

What failed

The problem space is messy because wound healing changes with physiology, movement, and tissue context.

What I learned

A platform approach works best when the sensing, analysis, and study workflow are designed together.

Stack

Tools, systems, and technical areas involved.

Thermal conductivityHumidity sensingTemperature sensingDiffusivity analysisSoft patch design

Links and direction

Public links and next steps.

Next Future direction

Promote the strongest experiments into a concise public summary and keep the rest as internal notes.

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