VidaApp


Vidaapp specializes in designing and manufacturing advanced medical devices that incorporate artificial intelligence, IoT, and global connectivity to provide innovative healthcare solutions. Their focus is on remote patient monitoring and optimizing medical care through cutting-edge technology, offering tailored equipment for hospitals, clinics, and health institutions. They emphasize that they design and manufacture the devices, but homologation is the responsibility of the buyer, ensuring flexibility to meet regulatory requirements.

Industries

artificial-intelligence
electronics
health-care
health-diagnostics
medical
medical-device
mhealth
mobile

Nr. of Employees

small (1-50)

VidaApp


Products

Wearable bracelet with cellular connectivity (VoLTE-style)

Wrist-worn device concept combining cellular voice/data connectivity and physiological monitoring for remote supervision.

Chest-band cardiopulmonary monitor with AI

Chest-worn band for cardiopulmonary monitoring that incorporates on-device or cloud ML analysis for cardiopulmonary signals.

Biomedical adhesive patch sensor

Adhesive patch form-factor for physiological signal acquisition suitable for ambulatory monitoring.

Small-form disease-detection wearable (pin form factor)

Compact wearable sensor designed to detect specific disease indicators or biometrics in a minimal form factor.

Indoor localization system using BLE beaconing

System for indoor positioning and beaconing using Bluetooth Low Energy for asset and personnel location tracking.

Obesity-control wearable bracelet

Wrist-worn device concept intended to support obesity-control interventions and monitoring.


Services

Design and development of medical devices

Custom hardware, firmware and software development with integration of biomedical sensors and bespoke device prototyping.

Connectivity and telecommunications for remote monitoring

Implementation of cellular (LTE/4G), low-power wide-area (NB‑IoT) and satellite links to enable real-time telemetry from devices.

AI and machine learning for biomedical data

Development of customized algorithms and ML models for analysis of physiological data and early anomaly detection.

Integration with clinical platforms and EHRs

Adaptation of device outputs and interfaces for compatibility with hospital platforms and electronic health records.

Expertise Areas

  • Remote patient monitoring
  • Medical device design and prototyping
  • Wearable biosensor systems
  • IoT connectivity and telemedicine
  • Show More (5)

Key Technologies

  • NB‑IoT
  • LTE / 4G
  • Satellite communications for IoT
  • BLE beaconing and indoor localization
  • Show More (5)

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