Caalyx Increasing Older People's Autonomy and Self-Confidence

ICT for Health UnitRecent developments in ambient assisted living allow increasing autonomy and self-confidence for older people concerned about their health. A light wearable device measures vital signs, detects falls and automatically raises an alert to their care centre in case of an emergency.

Healthy elders reach a stage when they may become concerned about their own health. This mental state often leads them to start reducing their physical and social activities, which have an increasing negative effect on their well-being. Based on medical and social research for these people, Caalyx is providing a solution to improve the elder's autonomy and self-confidence with positive reinforcement.

Health emergencies are detected by constant monitoring of the elder's health. Raised alerts ensure appropriate response including rescue since the geographic position is provided for this purpose. The daily health agenda provided at home gives reminders to take medication and health measurements, to request answers to their health questionnaire or to hold the interview with his doctor. The communication tools support video-calls with their relatives, their caretaker and their doctors The elders know that the doctor is aware of their health state, that the caretaker is always on-line, that their privacy is respected and importantly that they can always and easily communicate with their caretaker or his relatives.

The result is that elders are free to live their life at home or in the environment of their choice with increased confidence and autonomy.

System Description
In the Caalyx system, some physical signs of the elder are constantly measured by a set of sensors packed into a Wearable Light Device. Other physical signs are measured to a personalised schedule by other sensors at home, where a Home System is available for the elder to know his/her health progress and health agenda and to communicate with their carers anytime. A Nintendo Wii controller enables operation with the Home System, whose user interface is displayed on the TV. The sensors have been specifically selected to detect the most relevant health conditions in the targeted elderly.

Based on the data gathered by the Wearable Light Device, a smart phone is constantly searching for personalised health condition patterns, sending an alert in case any health condition is found. The alert thresholds and the health condition patterns have been specifically adapted to the elder population and can be further tuned to each individual by his practitioner.

The alert, received at the Caretaker Site, allows further attention and assistance from a number of people including: relatives, physicians and emergency services, besides the caretaker who is always on-line.

Innovative Features:

  • Five vital signs monitored while mobile: heart rate, respiratory rate, oxygen saturation, temperature, mobility and falls.
  • Elder's privacy respected. Their geographic position is only reported when alerts happen.
  • Constantly search for health conditions based on a combination of vital signs
  • Alert thresholds can be individually customized
  • A learning artificial intelligence module helps the caretaker to identify false alerts and to select the best candidate response to help the elder
  • The system is built on a Service Oriented Architecture
  • HL7 security framework implemented to ensure elder's privacy
  • Mobility report shows four states: walking/steeping, sitting, lying and standing
  • Enhanced fall detection algorithm incorporated
  • An integrated video-call communication tool is available for all those involved in caring for the elder: relatives, caretaker and the personal physician
  • An intuitive Home System, operated via TV using a Nintendo Wii controller

The system has been tested and validated with end users in real life scenarios in two stages.

In the first stage the system was used in a protected environment: a nursing home; where the prototypes were easily monitored and the users were constantly looked after by professional nurses in order to support them in using the system.

In the second stage, the prototypes were used by the end users in their own homes. Such trials session are quite challenging for research prototypes, nonetheless they provided effective input and feedback, which have been collected by the designers and developers to improve the system.

The project was successfully concluded and evaluated by independent experts who encouraged the Consortium to develop further its activity to make sure the application can reach the market. Thus, the activity continues in the project: eCaalyx: Enhanced Complete Ambient Assisted Living Experiment, supported by the Ambient Assisted Living Association.

Related article:

For further information:
ICT for Health
European Commission - Information society and Media DG
Office: BU31 06/73 B-1049 Brussels
Tel: +32 2 296 41 94
Fax: +32 2 296 01 81
http://europa.eu/information_society/eHealth

Most Popular Now

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...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...

A Shortcut for Drug Discovery

For most human proteins, there are no small molecules known to bind them chemically (so called "ligands"). Ligands frequently represent important starting points for drug development but this knowledge gap...

New Horizon Europe Funding Boosts Europe…

The European Commission has announced the launch of new Horizon Europe calls, with a substantial funding pool of over €112 million. These calls are aimed primarily at pioneering projects in...

Cleveland Clinic Study Finds AI can Deve…

Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on...

New AI-Technology Estimates Brain Age Us…

As people age, their brains do, too. But if a brain ages prematurely, there is potential for age-related diseases such as mild-cognitive impairment, dementia, or Parkinson's disease. If "brain age...

With Huge Patient Dataset, AI Accurately…

Scientists have designed a new artificial intelligence (AI) model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease. The model...

Radboud University Medical Center and Ph…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Radboud University Medical Center have signed a hospital-wide, long-term strategic partnership that delivers the latest patient monitoring...

GPT-4, Google Gemini Fall Short in Breas…

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international...

ChatGPT fails at heart risk assessment

Despite ChatGPT's reported ability to pass medical exams, new research indicates it would be unwise to rely on it for some health assessments, such as whether a patient with chest...

Study Shows ChatGPT Failed when Challeng…

With artificial intelligence (AI) poised to become a fundamental part of clinical research and decision making, many still question the accuracy of ChatGPT, a sophisticated AI language model, to support...

Virtual Reality Shows Promise in Fightin…

A new study published in JMIR Mental Health sheds light on the promising role of virtual reality (VR) in treating major depressive disorder (MDD). Titled "Examining the Efficacy of Extended...