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

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...