Project Promoters
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Multi-Sensory Wearable
Assembly of a multi-sensory wearable hardware device to access cardiorespiratory and physical activity related variables adapted to the elderly.
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Environmental control station Hub
Assembly of an environmental control station Hub that can store and upload the data to a cloud secure server, from the wearable data adapted to the elderly. The station will be able to monitor air quality.
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AI Solution
Development of an AI solution able to configure the measurement parameters in real-time to optimize the data quality and identify the pathological signs.
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Dashboard for Healthcare Professionals
Development of a user interface dashboard for healthcare professionals or caregivers to monitor daily clinical and environmental parameters from the users.
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Pilot studies
Implementation of pilot studies involving the proposed system in real conditions.
What is the Safe Health
Elderly Monitoring (SAFHE) project
It's a project that aims to develop a wearable device, with several biological sensors, clinically relevant and user-friendly, combined with an environment control station.
AI Based
project
Through artificial intelligence (AI) based on machine learning techniques, it will enable the remote detection of signs of pathologic conditions and remote monitoring of the elderly from their home or nursing home.
Helping elderly
people
This system contributes to meeting the political priority established in the European Countries by promoting elderly people’s deinstitutionalization and the implementation of measures that reinforce the transition from institutional services to services based in the community.
More about the Project
By remotely monitoring the elders during daily activities in their home environment, the SAFHE system would be a solution to improve elderly people’s safety and cardiorespiratory health, but also to be used in stringent conditions, such as the pandemic created by COVID-19. The technological evolution associated with the progress in the communication industry made possible the integration of monitorization devices in a real context enabling the development of solutions to process and integrate signals of different sources through AI.
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This project will provide access to a set of data from an easy to use wrist like wearable with integrated clinically relevant sensors and an ECG wearable. These devices will be combined with an environmental monitoring station hub that will serve as both environmental sensing and gateway between the wearable and the cloud structure, as well as local processing and IoT integration.
Outcomes
The consortium created a multi-sensory wearable, combining a single-lead ECG, triaxial accelerometer, magnetometer, heart rate, heart rate variability, and respiration rate measurements. APIs were developed for devices like scales, glucose monitors, and Nonin wristbands (%SpO2 and pulse rate), enhancing elderly health monitoring.
Additionally, the consortium developed a central station that works as an electronics hub for environmental sensors, incorporating six of them. This central unit functions as a data aggregator, collecting information from wearable devices, conducting local data processing, and transmitting it to the cloud for AI-based analysis and software interactions. For data presentation, a local dashboard was crafted, providing data visualization, management through a communication hub, and cloud-based storage. An AI system was implemented by the consortium for extracting clinical insights from population data.
Communication, Dissemination and Exploitation
During this project, the consortium achieved 17 deliverables, 4 milestones, participated in 4 International Conferences and 2 Nacional Conferences. The consortium had 5 papers accepted for publication in international conferences as proceedings, 1 scientific communication in an international conference, 3 scientific articles in a scientific journal, 1 book chapter, two master theses concluded and two PhD Thesis ongoing.
Co-Funded by:
