Projects

Current Projects

Enhanced Complete Ambient Assisted Living Experiment (June 2009 – May 2012) is a three-year project funded by the European Commission under the AAL Joint Programme (Strategic Objectives addressed: ICT-based Solutions for Prevention and Management of Chronic Conditions of Elderly People). The project builds on the strengths of the infrastructure and functionality already developed in the original CAALYX project (2007/2008). eCAALYX

Website: http://ecaalyx.org/

Contacts:
Dr. John Nelson
Prof. Gearóid ÓLaighin
Dr. John Breslin
Dr. Karol O’Donovan
Dr. Alan Bourke

EEDSP is a SFI Strategic Research Cluster led by UCC with NUI Galway, UL and UCD as partners on “Effecient Embedded Digital Signal Processing for Mobile Digital Health”. A particular focus is to make medical sensor systems “smart” by increasing the complexity of signal processing that can be carried out at the sensor and by increasing the number of sensors and the collaboration between them. A long term goal is to carry out the basic research necessary for in-body smart sensors SFI

Website: http://www.sfi.ie/

Contacts:
Dr. Martin Glavin
Dr. Richard Conway

NEMBES is an inter-institutional and multi-disciplinary research programme that will investigate a “whole system” approach to the design of networked embedded systems, marrying expertise in hardware, software and networking with the design and management of built environments. Networked Embedded Systems enable fine-grain sensing, monitoring and control and information gathering/delivery in science, engineering, manufacturing, energy, environment/ecology, daily living, healthcare, agriculture, traffic, security and many other applications at scales from the personal to the national and international.

Website: http://www.nembes.org/

Contact:
Dr. Marcus Keane

Application of RFID technology in home health monitoring – an IRCSET PhD Scholarship research programme under the Enterprise Partnership Scheme IRCSET

Contacts:
Shane Lowe
Prof. Gearoid OLaighin
Dr. John Breslin
Dr. Barry Dolan
Dr. Karol O’Donovan

WestREN is a partnership between more than 60 West of Ireland General Practices and the Department of General Practice at NUI Galway. WestREN covers a population of over 100,000 from an area extending geographically from counties Limerick to Donegal. Network practices represent urban and rural communities of varying socio-economic backgrounds. Practice list sizes range from 500 to 5,000 and from single-handed to multi-partner practices.

Website: http://westren.nuigalway.ie/

Contact:
Dr. Liam Glynn

The objective of this project is to specify, design, and validate a data management technology platform that will support integrated energy & environmental management in buildings utilising a combination of wireless sensor network technologies, an integrated data model and data mining methods and technologies.

Website: http://zuse.ucc.ie/buildwise/

Contact:
Dr. Marcus Keane

Pre-impact Detection of Falls in the Elderly – an IRCSET PhD Scholarship research programme

IRCSET

Contacts:
Alan Barrett
Prof. Gearóid ÓLaighin
Dr. Martin Glavin
Prof. Andrew Murphy
Dr. Liam Gylnn

Chronic disease is common – one third of people in the US have at least one chronic illness – and expensive, accounting for up to half of healthcare expenditure in developed countries. Multimorbidity, the coexistence of two or more chronic diseases in an individual, represents an even greater challenge. These individuals are more likely to die prematurely, be admitted to hospital, have poor quality of life and loss of physical functioning. This innovative research programme for chronic disease with particular emphasis on cardiovascular multimorbidity addresses health and healthcare behaviours of patients and practitioners.

CLARITY STUDY

Website: http://westren.nuigalway.ie/

Contact:
Dr. Liam Glynn

Use of kinematic sensors and digital media for rehabilitation applications – an IRCSET PhD Scholarship research programme under the Enterprise Partnership Scheme

IRCSET

Contacts:
Alan Dunne
Prof. Gearóid ÓLaighin
Dr. John Breslin
Dr. Barry Dolan

Dr. Karol O’Donovan

The goal is to improve asset management while supplementing efforts to fulfil the Kyoto Protocol requirements. Thus ITOBO will enhance the management of large-scale, complex networks, services, and mobile users through introducing new network and management protocols develop frameworks and algorithms to support mixed-initiative configuration for energy efficient buildings design a system architecture that will support scale-free composition of service coalitions support seamless end-to-end network composition and service operation through sensor and RFID hardware with dynamic features.

Website: http://zuse.ucc.ie/itobo/

Contacts:
Prof. Karsten Menzel
Dr. Marcus Keane

A patient within the home can be tracked to a room level using active RFID technology.
The patient can be monitored via any internet connected TV, computer, or mobile device. Alerts are sent to relevant caregivers, physicians or loved ones to any of these devices.

TrakerTV

Contact:
Shane Owens

Physicians can track the progress of a patient with memory disease through an interactive TV application that trains/tests the patient’s memory.

Cognition Tracker

Contact:
Shane Owens

An interactive TV application that provides reminders to a patient when it’s time to take his/her medicine.

Medicine Reminder

Contact:
Shane Owens

A mobile device application that allows a physician/caregiver to see the electronic medical records of patients in the room. In addition, the doctor and “throw” and documents from the mobile device to a nearby TV to give a larger viewing screen to share with the patient.

Location-based Medical Records and Document “Throwing”

Contact:
Joe Dowling

A mobile device application that allows a person to easily place a phone call from their NFC capable mobile phone by simply touching the phone to the picture of the person that they are calling.

Visual RFID Phone Book

Contact:
Joe Dowling

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.

Website: http://www.ict4depression.eu/

Contacts:
Dr. John Nelson

Dr. Pepijn van de Ven

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