New FP7 eHealth Project - EPILEPSIAE

The mission of EPILEPSIAE Project is to use Information and Communication Technologies to empower the epileptic patients to monitor their own risks and improve their safety in daily life, strengthening their social integration.

The project's vision is to develop an intelligent non-invasive alarming system, which is transportable by the patient. The device automatically measures the brain activity. It will be capable of predicting the upcoming seizures considerably before seizure onsets and provides the patient with this information for example by sending a text message to the patientÂ’s cell phone. This in turn will allow the patient to assess the risk of his actual situation and acting accordingly to improve his safety and privacy. Another important output of the project is a large and well-documented European Database on Epilepsy.

The EPILEPSIAE consortium funded under the FP7-ICT Programme (Subprogramme on advanced ICT for risk assessment and patient safety) for 3 years, consist of six partners from 4 European countries: 2 academic teams (Portugal, Germany), 1 mixed academic/clinic team (France), 2 clinic teams (Portugal, Germany), 1 industrial company (Italy), covering the whole value chain from theoretical conception to market products and final users.

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

Related article:

Most Popular Now

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...