Bed Sensor — HealthTech / IoT
A rest-monitoring platform built around a contactless device: the raw signals from the bedside sensor become sleep studies, alerts and dashboards — with nothing for the person to wear.
What it is
An end-to-end solution (device + platform + reports) for non-invasive sleep monitoring. A sensor placed in the bed captures biosignals, streams them over MQTT to a sleep processor (microservices), and the platform shows them in real time, generates studies and raises alerts.
Who it's for
Wellness, healthtech, institutions and professional follow-up that need to monitor people's rest non-invasively and with traceability.
Metrics
- Heart rate (HR), RR interval, heart-rate variability (HRV), stroke volume (SV).
- Sleep stages: REM, deep and light; events and derived metrics.
Features
- Real time over socket (HR, RR, SV, HRV).
- Sleep studies per person and date range: summary, charts and per-metric state.
- Sleep AI: an interpretation layer with risk, findings and suggested follow-up.
- Alerts on changes or anomalies.
- PDF reports, downloadable and emailable.
- Operations around people, beds/mattresses, devices and groups, with inventory and device ↔ person ↔ bed traceability.
- Administration: users, profiles and menus with a permission matrix (RBAC).
How it works
Contactless sensor → MQTT telemetry → Sleep Processor (microservices) → platform (dashboards, real time, alerts, AI, PDF).
Stack
React · Node.js / microservices · MQTT · WebSockets · Docker / Kubernetes · signal processing.