• salud digital •

member of:

teleasistencia
  • Asistir a ancianos, pacientes crónicos o de corta duración.
  • Monitorizar a distancia la actividad diaria de los pacientes.
  • Detectar situaciones anómalas.
  • Activar avisos y alarmas a los cuidadores.
  • Proporcionar seguridad, comodidad y bienestar a los pacientes.
e-salud
  • Captura de 24/7 signos vitales para completar las historias clínicas.
  • Ayudar al personal médico con la supervisión a distancia.
  • Uso de wearables y sensores discretos.
  • Fomentar la detección temprana de enfermedades.
  • Liberar la carga de trabajo sanitaria y hospitalaria.

• cómo lo hacemos •

entornos inteligentes

seguridad y protección

  • When the person leaves home or returns.
  • Real-time location of the person and time spent in a concrete location.
  • Fire, smoke, flood.
  • If other people access home.

bienestar

  • Notifications 24/7 about anomalous situations.
  • Deviations against daily routines (habits).
  • Air quality (CO2, CO).
  • If the person wakes up and follows a normal pattern.
  • If the person eats warm hot meals.

confort

  • Remote management and automation of heating and air conditioning.
  • Control of blinds and curtains.
  • Schedule automation routines for illumination.
  • Energy consumption and savings.
control inteligente

ADL monitoring

  • Monitor activities and habits of everyday life.
  • Eating, sleeping, bathing, toileting, socialization…
  • Deviations and trends related to mood and quality of life.

unobtrusive sensing

  • Use of unobtrusive and non-invasive technologies.
  • Infrared, radio frequency, audio, gas sensors.
  • Preserve daily habits and avoid user operation.

physiological sensors

  • Use of medical devices to track biomarkers.
  • Assist medical staff with everyday information.
  • Early symptoms detection for disease diagnosis.

• our platform •

A platform to supply a continuous and sustained scare and improvement to patients when combined with the adequate protocols and services.

A platform that can be supplied as an interoperable middleware or as a complete bottom-up solution.

• projects •

uptake

Low-cost system for energy control in the SOHO segment, making the user a central element in decision-making, and using AI to obtain a reduction in energy consumption

champ

Creation of trainable knowledge models that benefit from a personalised and precise integration of air quality data acquisition with the real-time evolution of physiological parameters in the development of several breathing disorders

di2020

Effects of the daily exposition to some prevalent atmospheric pollutants on patients with COVID-19 and other high-risk respiratory diseases, such as COPD and asthma

earlycare

Cutting-edge unobtrusive sensing technologies and advanced AI techniques to create a health monitoring system enabling early prediction of Diabetes Mellitus, Congestive Heart Failure and related diseases

edge

Monitoring of Activities of Daily Living (ADL) of elders living alone at home, using gas sensors and applied AI to design identification algorithms through ML techniques

core one

Use of graphene sensor networks in Ambient Assisted Livings environment to detect human activities, and integration into a monitoring system to feed AI and decision support algorithms

invisum

Intelligent video-surveillance integrated into a monitoring system to identify daily activity of people and supply advanced security