Our mission

Helping care teams see change over time.

Postpartum recovery is dynamic. Individual vital-sign checks are useful, but they do not always show the direction or context of change between one observation and the next.

After conversations with clinicians and subject-matter experts, RhealSense broadened its focus from a single-condition detection concept to postpartum monitoring. Our prototype streams wearable sensor data to an Android app and a secure web dashboard, where trends can be reviewed alongside the clinical picture.

We are building decision-support infrastructure, not an autonomous diagnostic system. RhealSense can surface deviations from an individual's baseline; nurses and clinicians decide whether those changes matter and how to respond.

connected surfaces: a wearable sensor, companion app and live care-team dashboard.
RhealSense prototype architecture
Why this matters

Postpartum monitoring is a timeline, not a snapshot.

The goal is to give care teams more context between routine observations without taking decisions away from them.

i.

The challenge

Vital signs are usually collected at discrete moments, while recovery continues between those checks. Movement, sensor placement and each person's normal range can also affect how a reading should be understood.

A useful monitoring system therefore needs to preserve context, show trends clearly and make uncertainty visible rather than turning every number into an alarm.

ii.

Our approach

RhealSense sends optical pulse and motion data from the wearable to the mobile app, then to an authenticated dashboard. The software organizes live measurements and highlights departures from the wearer's baseline.

The care team remains in control. Nurses combine the stream with symptoms, history, observations and clinical protocols before deciding what action, if any, is appropriate.

How it works

A wearable, an app and a shared clinical view.

The current prototype connects sensing, context and review in one development pipeline.

The wearable

The compact prototype uses optical sensing to capture pulse-wave data and estimate heart rate and blood-oxygen saturation. An accelerometer provides movement and activity context.

It is designed as a patch, with brackets that also let the engineering team test it on a band while placement, signal quality and power use are refined.

The connected software

Readings stream over Bluetooth to the RhealSense Android app. The app displays live data, records reference measurements and can securely forward telemetry to the web dashboard.

The system flags deviations from an evolving baseline for review. It does not diagnose a condition or replace expert interpretation.

Signal flow
i
The wearable captures signals
Pulse-wave, estimated SpO₂ and movement
ii
Data flows to the app
Bluetooth streaming and configurable recording cycles
iii
The care team reviews trends
Baseline deviations with clinical context
Configurable
Live streaming or scheduled recording cycles
Connected
Android app and authenticated dashboard
Baseline-aware
Individual deviations surfaced for review
Expandable
ECG, BioZ and temperature planned next

Want to follow our progress?

We share updates as we go, from prototyping to clinical conversations. No fluff, just the work.

Read our articles