The European Microsoft Innovation Center (EMIC) is starting the project EMERGE

The European Microsoft Innovation Center (EMIC)Currently, the European Microsoft Innovation Center (EMIC) is starting the project EMERGE, supporting elderly people with innovative emergency monitoring and prevention.

Delayed calls of emergency medical services - in case of physical or mental disorders resulting from strokes or falls, for example - lead to increased hospitalization and movement of elderly people into nursing homes. This decreases their quality of life unnecessarily and causes considerable costs. Because of demographic changes in Europe, this situation is expected to get worse in the future.

This problem is addressed in EMERGE by supporting elderly people with innovative emergency monitoring and prevention. Humans are bio-psycho-social beings, whose character is to follow typical behavior. Especially elderly people have this character. The innovation is to algorithm this behavior by a holistic approach to detect deviations from typical behavior patterns and to reason on acute disorders in their health condition in case of strokes, falls, or other similar emergencies.

The approach is to use ambient and unobtrusive sensors to monitor activity, location, and vital data. Daily routines are tracked to detect abnormalities and create early indicators for potential emergencies.

EMERGE engineers a prototypical solution that treats emergencies with stepwise assistance. First, it provides early proactive assistance to the elderly themselves.

In the case of an emergency that cannot be handled in the first two steps, an integrated emergency medical service (EMS) is called and informed about the case and the personal situation of the affected person. The integrated EMS can resolve the situation through medical care, telemedicine counseling, activation of social services, or sending a rescue team.

The impact of the developed prototypical solution on quality of life will be measured in an Assisted Living Laboratory and a multinational site evaluation. It is expected that EMERGE will help elderly people to live a safer, self-determined life and stay longer in their preferred environment.

The European Microsoft Innovation Center (EMIC) is leveraging and pushing its work in the Sensor and Context Management technology area. European Microsoft Innovation Center's Sensor Abstraction Layer (SAL) will be the central hub let applications and higher-level sensor fusion components discover and speak to the various sensors used in this project.

For further information, please visit:

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...