Polycare project aims to develop and test an integrated care model, patient-centred, supported by the use of advanced ICT systems and services that allow the monitoring and care of older chronic patients in acute phases at home. In doing so, two main objectives may be achieved: Better conditions of life and care for these patients and the improvement of the sustainability of the health and social care systems.
Intelligent Parkinson early detection guiding novel supportive interventions
Eleven partners, academic institutions and companies, from six EU countries, led by Aristotle University of Thessaloniki, Greece, have joined forces for i-PROGNOSIS in order to provide technology-based solutions against Parkinson’s, as well as raise awareness on the disease and self-health management.
Parkinson’s disease (PD), one of the commonest neurodegenerative diseases, is a chronic and progressive disease that often begins with mild symptoms that advance gradually over time.
i-PROGNOSIS aims to develop early and unobtrusive Parkinson’s disease detection tests based on the interaction of users with their everyday technological devices.
The RAPID-MIX consortium accelerates the production of the next generation of Multimodal Interactive eXpressive (MIX) technologies by producing hardware and software tools and putting them in the hands of users and makers.
We have devoted years of research to the design and evaluation of embodied, implicit and wearable human-computer interfaces and are bringing cutting edge knowledge from three leading European research labs to a consortium of five creative companies.
AHA: AUGMENTED HUMAN ASISTANCE
Aging and sedentarism are two main challenges for social and health systems in modern societies. To face these challenges a new generation of ICT based solutions is being developed to promote active aging, prevent sedentarism and find new tools to support the large populations of patients that suffer chronic conditions as result of aging. Such solutions have the potential to transform healthcare by optimizing resource allocation, reducing costs, improving diagnoses and enabling novel therapies, thus increasing quality of life.
In this context, the “AHA: Augmented Human Assistance” project proposes the development and deployment of a novel Robotic Assistance Platform designed to support healthy lifestyle, sustain active aging, and support those with motor deficits.
The main goal of ABC is to provide an effective and efficient communication channel for people with Dyskinetic Cerebral Palsy based on Brain/Neural Computer Interface technologies, augmenting their interaction and emotions expression capabilities; improving their social inclusion, independent living and quality of life.
The ABC system will be composed by 4 independent and interoperable modules. The ABC system will get information about user state in order to: a) Generate control commands (BNCI processing Module) as input b) to Augmented Communication Module, c) support DCP users to understand and express their emotions (Affective Computing Module) and d) Assess the clinical state and track the learning progress (Health Module).
The BNCI would take advantage would take advantage of users cognitive capability to get over their motor and speech disabilities, enabling a more fluent and reliable communication and environmental control. BNCI would in addition be able to detect and classify the emotional state, and use this information for modulating the message, increasing non verbal aspect of communication. The use of ABC system will improve, among other, the following capabilities of people with severe motor control and speech disorders: cognitive, emotions management, postural and fine motor control and decision making.
User involvement (DCP users, their relatives, caregivers and professionals) will be guaranteed with their active participation since definition of needs and requirements to validation and test in real conditions. Moreover, new specific User Centered Design Methodologies, non dependent on physical or speech capability, will be developed to make easier participation of DCP people.
Mainstream applications of ABC system, or its 4 Modules, have detected in Gaming, learning, safety at work and driving industry.
Major depression is currently the fourth disorder worldwide in terms of disease burden, and is expected to be the disorder with the highest disease burden in high-income countries by 2030. Estimated costs of depression are annually 177 and 147 million euro per 1 million inhabitants for major and minor depression respectively. Current treatment methods for depressive disorders can reduce the burden of this disease with about one third. The ICT4Depression consortium will develop an ICT-based system for use in primary care that will further improve patient outcomes and increase access to treatment. All technologies to be developed will be beyond state of the art and include 1) devices for monitoring activities and biosignals in a non-intrusive and continuous way, 2) treatments for depression and automatic assessment of the patient using mobile phone and web based communication, 3) computational methods for reasoning about the state of patients, progress of therapies, and the risk of relapse and 4) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The ICT4Depression system is flexible and can easily be adapted for treatment of other mental diseases. The project will be carried out by an interdisciplinary consortium with 5 (research) organisations and 2 SME companies at the forefront of Artificial and Ambient Intelligence, wireless biosignal sensors, activity monitoring using cell phones, monitoring patient compliance with drug prescriptions, service oriented application for the health care domain, psychology, psychiatry, and internet-based psychological treatment. The project will boost European leadership in ICT-based treatment of mental illness and will provide ample opportunities for commercial exploitation.
This project aims at determining the role of emotions on the learning process and the way in which these can influence the results of the process. The goal is to develop an Human-computer interaction device (which is envisioned as a computer mouse) that measures multiple electrophysiological signals from the children and simultaneously allows the interaction with a multimedia Web application with games and educational exercises. Thus we want to know how different activities influence the physiological signals while completing the exercises/games on the Web platform. The system will allow the tutor to follow-up the learning process, adopt incentive measures, and adjust the learning process according to the emotive signals of the children. As a result of the R&D project a physiological signal database will be produced on didactic and cognitive exercises, this way creating a base structure for advanced studies in affective computing and real interaction/learning environments.
With the increase of the mean life expectancy and the birth decrease, the developed world is preparing to live the reality of an inverted age pyramid. This means that many elderly people will live many years by themselves or in the company of other elderly members and with little or no support from the younger family counterparts. Given that people are also keeping healthier and active until late, the option of going to a retirement home is increasingly less attractive to those reaching the retirement age and want to enjoy the life which is still ahead. Nonetheless, despite the greater activity and independence, the age will keep acting as a gradual process where people will lose motor and cognitive abilities, requiring significantly more attention on their health status. In order to combine an independent life with the safety and comfort of a "protective" home, Ambient Assisted Living offers the required technologies that will allow and autonomous (by easy access to home automation and devices through a common and simplified interface), and secure living (by permanently monitoring vital signs and anomalous situations as falls, flooding, among others). The UCH platform, which is an outcome from the i2Home R&D project funded by the EC (under the IST program), currently allows the integration of various devices that are currently found at peoples homes. This project aims the expansion of the platform to further include vital signs monitoring and the user interaction with the environment. Additionally there is a data mining and alarm generation component which detects variations in the users daily patterns which can be traced to be potentially anomalous producing different types of alarms depending on the severity and emergency of the detect situation.
What is wiCardioRespwiCardioResp offers a way to monitor, at distance, patients that are subjected to cardio-respiratory ambulatory monitoring.
It was thought to be used in the comfort of home, through a set of handheld devices and wireless networks which allow great flexibility and freedom.
- new medical tool to enhance quality of life of patients with neuromuscular disorders.
- reduces the number of visits to the health units and associated costs.
- enables a closer monitoring of the patient.
- provides comfort to the patient.
- remote monitoring, prompt and efficient.
These elements communicate with a mobile device via Bluetooth® to send the acquired data to a remote system, providing a continuous monitoring of the patient.
Through the remote central, the acquired data will be processed to provide a warning and event detection system.
Target userswiCardioResp was designed for people with neuromuscular diseases that usually have a progressive disability that affects their daily activities. It is also intended for those who have amyotrophic lateral sclerosis (ALS) problems, which results in muscle weakness.
- wiCardioResp includes
- muscle band for EMG, ECG and accelerometry.
- sensory glove, to measure oxygen saturation and pulse rate.
- mask to measure the respiratory volume, nasal flow and O2 consumption.
- non-invasive ventilation device (NIV)
- medical software in a monitoring central.
PLUX products and envisioned product line are classified as Active Medical Devices. For EC market placement, the hardware must meet the requirements of Directive 93/42/EEC, transposed to the Portuguse legislation through D.L. nº 273/95 from October 23th. According to this decree, Plux has registered the physioplux product as a class I device. Therefore in order to complete the process which leads to CE marking of the devices it is necessary to undergo on the procedures indicated by D.L. nº 273/95 from October 23. The PLUX project consists on the implementation of all the necessary procedures that lead to the grant of the CE marking for the produced devices.
The project supports a set of activities to enhacne the external market postition of PLUX. The actions are aligned with the growth plans of PLUX, a startup, and will be in the topics of market prospection, market studies, and marketing. The project involves the recriutment of technical staff in the field of innovation, international relations and marketing.
The project aims at the qualification of key factors of PLUX activity aligned with the growth strategy of the company. Namely the project support the hardware miniaturization capabilities, internal innovation process's, intellectual property production, and improvement on logistics, production and development capabilities.