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

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...

A Record Year with More than 800 Exhibit…

9 - 11 April 2024, Berlin, Germany. DMEA 2024 kicks off today, focusing on the key issues in the digital transformation of the healthcare system. From now until 11 April over...