Ethical Saving combines affordable smartwatches with radio-based room sensing into an offline-capable research platform for nursing homes, hospitals and emergency services. The technology is prepared; accuracy, alarms and clinical benefit remain to be tested in studies.
Operated by Ethical Saving gUG (non-profit) · DACH region · development and study-preparation stage
Care facilities and wards work at their limit. Falls go unnoticed, vital signs are only checked occasionally, and valuable information is lost in the handover from emergency services to the hospital.
Model-dependent wearable data and experimental room markers — brought together on a local server inside the facility.
Selected low-cost wristbands provide model-dependent heart rate, SpO₂ and movement values. Adapters isolate vendor protocols; accuracy is assessed per model against clinical references.
Changes in WiFi signals are used to calculate research markers for presence, movement and suspected falls. Reliability and multi-person assignment still require validation.
All data converges on a small appliance inside the facility. Offline-first, no cloud requirement, full control of the data.
The patient app can be opened as a web app without installation. Camera processing runs on the phone, tablet or computer; images are neither uploaded nor stored. When offline, sessions are queued locally in encrypted form and synchronised later.
Smartwatches provide model-dependent values; WiFi signals provide experimental movement and presence markers.
One ESP32-S3 radio bridge per room reads the watch over Bluetooth and forwards everything via WiFi.
The local server stores data and calculates explicitly labelled research markers or notifications.
Care staff see each resident's status in the dashboard and receive hints — no diagnosis, no treatment decision.
Four layers, a clear data flow — encrypted, local, with no cloud requirement.
We only promise what the technology reliably delivers today. Transparency is part of our mission.
The study tests whether night-time suspected-fall and presence markers can usefully complement care workflows.
Research-grade vital trends and room notifications alongside clinical reference measurements and professional judgement.
The study tests whether wearable data can be captured from first contact and handed over alongside clinical measurements.
As a non-profit company we measure ourselves not by returns but by relief for care staff and quality of life for older people. Surpluses flow back, in line with our mission, into development and into serving non-profit providers.
Currently, everything is privately funded by Fabian Temme; we welcome your support.
Are you a provider, hospital, municipality or funding partner? Talk to us.
We are looking for facilities for controlled technical run-ins and clinical validation studies after ethics, privacy and IT approval.
Request a study partnership