CAALYX

Older people's autonomy and self-confidence can be greatly increased by wearing a light device that measure vital signs, detect falls, and automatically raise an alert to their care centre in case of an emergency.

Europe is about to face a significant social change, brought about by an unprecedented demographic change: the ratio of elderly people to the entire population is steadily growing, while the ratio of younger age groups, especially the working population is shrinking.

CAALYX's main objective is to develop a wearable light device able to measure specific vital signs of the elderly, to detect falls and to communicate automatically in real time with his/her care provider in case of an emergency, wherever the elderly person happens to be, at home or outside.

Specifically, CAALYX' objectives are:

  • To identify which vital signs and patterns are more relevant to determine probable critical states of an elder's health.
  • To develop an electronic device able to measure vital signs and to detect falls of the aged person at the domestic environment and outside. This gadget will have a geolocation system so that the monitoring system may be able to know the elder's position in case of emergency (especially outdoors).
  • To allow for the secure monitoring of individuals organised into groups managed by a caretaker who will decide whether to promote raised events to the emergency service (112).
  • To create social tele-assistance services that can be easily operated by users.

For further information, please visit:
http://www.caalyx.eu

Project co-ordinator:
Telefónica Investigación y Desarrollo SA Unipersonal

Partners:

  • Inesc Porto-Instituto de Engenharia de Sistemas e Computadores do Porto (Portugal)
  • Cooperativa Sociale Cooss Marche Onlus Societa Cooperativa per Azioni (IT)
  • Synkronix Incorporation Limited (UK)
  • University of Plymouth (UK)
  • University of Limerick (Ireland)
  • Fundació Hospital Comarcal Sant Antoni Abat (SP)
  • Corscience Gmbh & Co KG (Germany)

Timetable: 01/01/2007 - 31/12/2008

Total cost: € 2.962.087,23

EC funding: € 1.850.000,00

Instrument: STREP

Project Identifier: IST-2005-045215

Most Popular Now

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...

AI Finds Hundreds of Potential Antibioti…

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

AI Accurately Classifies Pancreatic Cyst…

Artificial intelligence (AI) models such as ChatGPT are designed to rapidly process data. Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...