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  • 1.
    Davies, R.J.
    et al.
    University of Ulster.
    Nugent, C.D.
    University of Ulster.
    Donnelly, M.P.
    University of Ulster.
    Hettinga, M.
    Telematica Instituut, Enschede.
    Meiland, F.J.
    VU University Medical Center.
    Moelaert, F.
    Telematica Instituut, Enschede.
    Mulvenna, M.D.
    University of Ulster.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Craig, D.
    Belfast City Hospital/Queen’s University of Belfast.
    Dröes, R.-M.
    VU University Medical Center.
    A user driven approach to develop a cognitive prosthetic to address the unmet needs of people with mild dementia2009In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 5, no 3, p. 253-267Article in journal (Refereed)
    Abstract [en]

    This paper aims to provide the details of the approach adopted in the development of a cognitive prosthetic aimed to help address the unmet needs of people with mild dementia. The approach adopted is based on a waterfall style approach consisting of a series of three phases each of which contributes to the progression and improvement of a cognitive prosthetic-based solution. Within each phase, distinct stages of design, development and evaluation of the cognitive solution are conducted. The current paper discusses the distinct stages conducted in the first phase of the project which resulted in the design and development of a user driven solution based on the needs of 17 patient/carer dyads across three trial sites.

  • 2.
    Kikhia, Basel
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Synnes, Kåre
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Sani, Zaheer ul Hussain
    Luleå University of Technology, Department of Health Sciences.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Creating digital life stories through activity recognition with image filtering2010In: Aging friendly technology for health and independence: 8th International Conference on Smart Homes and Health Telematics, ICOST 2010, Seoul, Korea, June 22-24, 2010 ; proceedings / [ed] Yeunsook Lee, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2010, p. 203-210Conference paper (Refereed)
    Abstract [en]

    This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client that recognizes activities and enables review of the captured data. The image filtering algorithm is based on image characteristics such as brightness, blurriness and similarity, and is a central component of the Logging Kit. The activity recognition algorithm is based on the captured contextual data together with concepts of persons and places. The initial results indicate that the MemoryLane system is technically feasible and that activity-based creation of digital life stories for persons with mild dementia is possible.

  • 3.
    Meiland, FJ M.
    et al.
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Reinersmann, A
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Craig, D
    Division of Psychiatry and Neuroscience, Belfast City Hospital.
    Moelaert, F.
    Telematica Instituut.
    Mulvenna, M.
    University of Ulster.
    Nugent, C.
    University of Ulster.
    Scully, Tony
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Dröes, R M.
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    COGKNOW: development of an ICT device to support people with mild dementia2007In: Journal on Information Technology in Healthcare, ISSN 1479-649X, Vol. 5, no 5, p. 166-177Article in journal (Refereed)
    Abstract [en]

    Objective: To develop a successful user-validated cognitive prosthetic device with associated services to help persons with mild dementia.Setting: The ICT solution will be developed by a consortium of eleven institutes in eight countries in Europe. It will be tested and evaluated by users (persons with dementia and their carers) in 3 European cities - Amsterdam, Belfast and Luleå.Methods: To identify and analyse the needs of persons with dementia, workshops and interviews were conducted with Alzheimer patients suffering from mild dementia, and their carers in three European cities. A literature search was also performed to identify existing proven effective ICT solutions for persons with dementia.Results: The most important needs and the most preferred ICT solutions identified by participants were (i) Activity reminders e.g. for eating meals; (ii) Item locators; (iii) Picture dialling to keep in contact with family and friends; (iv) Support for pleasure activities; (v) Enhancement of feelings of safety. Conclusion: Based on the needs identified, a prototype solution will be built, tested and modified as an iterative process. The device will ultimately be evaluated to see if it can enhance feelings of autonomy and quality of life of persons with dementia.

  • 4. Meiland, FJ M.
    et al.
    Reinersmann, A.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Craig, D.
    Moelaert, F.
    Mulvenna, M.
    Nugent, C.
    Scully, Tony
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Dröes, R M.
    COGKNOW: helping people with mild dementia navigate their day2007Conference paper (Refereed)
    Abstract [en]

    Dementia is a progressive, chronic disease affecting 5% of all persons above 65 and over 40% of people over 90. The aim of the COGKNOW project is to achieve a breakthrough with research that addresses the needs of those with dementia, particularly those with mild dementia living in the community. This entails cognitive reinforcement in four main areas: helping people to remember, helping to maintain social contact, helping with performing daily life and recreational activities and finally enhance feelings of safety. Based on a sound foundation of needs reported in dementia literature, workshops and individual interviews have been carried out with dementia sufferers and their carers in three European countries. A ranked analysis of information from workshops and interviews, and the state of the art of successful ICT solutions will be the basis for formulating the functionalities of the technical solution and for the development of a cognitive prosthetic device with associated services for people with mild dementia. The research and evaluation will be conducted from human factors, technology, and business perspectives in three phases of one year each. In this paper we discuss the design of the COGKNOW project, the first results of the user needs inquiry workshops and the ICT solutions the COGKNOW project will focus on in the first year.

  • 5.
    Mulvenna, Maurice
    et al.
    University of Ulster. School of Computing and Mathematics.
    Martin, Suzanne
    School of Health Sciences.
    Galbraiht, Brendan
    School of Business Organisation and Management.
    Haaker, Timber
    Telematica Instituut.
    Jansson, Maria
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Castellot, Ricardo
    Telefonica, Parque Tecnológico de Boecillo.
    Melander-Wikman, Anita
    Luleå University of Technology, Department of Health Sciences, Health and Rehab.
    Moore, George
    University of Ulster. School of Computing and Mathematics.
    Moelaert, Ferial
    Telematica Instituut.
    Isaksson, Lennart
    E-Health and Innovation Centre, Luleå University of Technology.
    Wallace, Jonathan
    University of Ulster. School of Computing and Mathematics.
    Nugent, Chris
    Computer Science Research Institute, University of Ulster.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Towards sustainable business models from healthcare technology research2010In: International Journal of Computers in Healthcare (IJCIH), ISSN 1755-3199, Vol. 1, no 1, p. 20-34Article in journal (Refereed)
    Abstract [en]

    As demographic ageing impacts across the world, health and welfare organisations are seeking new paradigms of care that address people's needs as well as being inherently more scalable than the incumbent processes and services. The aim of this paper is to describe the current situation in Europe with information on service provision, before signposting some possible new ways to develop sustainable business models that support care models. The paper uses a case study approach to examine the issues in the introduction of such business models, from a perspective of the translation of research proof of concepts into business services and from the perspective of developing innovations from research that address unmet or poorly considered needs of user. The paper shows how several innovative European projects are anticipating the need for service change and are designing their research outcomes to match the needs of service commissioners more fully. The conclusion discusses several different approaches before drawing together strands of the work and providing tentative recommendations on the way forward to develop new inclusive technology-enhanced services in health and social care

  • 6.
    Mulvenna, Maurice
    et al.
    TRAIL Living Lab, University of Ulster.
    Martin, Suzanne
    TRAIL Living Lab, University of Ulster.
    Sävenstedt, Stefan
    Luleå University of Technology, Department of Health Sciences, Nursing Care.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Meiland, Franka
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Dröes, Rose Marie
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Hettinga, Marike
    Novay, Enschede.
    Moelaert, Ferial
    Novay, Enschede.
    Craig, David
    Department of Elderly Care, School of Medicine, Queen's University, Belfast.
    Designing & evaluating a cognitive prosthetic for people with mild dementia2011In: ECCE 10: Proceedings of the 28th Annual European Conference on Cognitive Ergonomics, New York: ACM Digital Library, 2011, p. 11-18Conference paper (Refereed)
    Abstract [en]

    Motivation - Develop a portable, mobile information and communication device with specific applications that meet the identified needs of people with mild dementia. Research approach - A qualitative study with a user centred design was applied: Three iterative development cycles of one year each were performed, in which around 15 persons with mild dementia and their carers participated in each cycle of development to attune the functions and form of the cognitive prosthetic to their needs and wishes. A mixed methods approach of qualitative interviews and standardised tools were used for the evaluations that were performed by formulating research questions and assigning appropriate methods for data collection before, during and after the field tests at the end of each development cycle. Findings/Design - The COGKNOW Day Navigator consists of a touch screen, a mobile device, sensors, a home hub and a central server. Several features such as colours and icons, can be adjusted to personal preferences, which was much appreciated by users. The functions to support people in their daily activities were overall appreciated, though there were individual differences in preferences and abilities to use them. Research limitations/Implications - It was recommended to perform an impact study within the target group for a longer period of time when the system is considered stable and to make use of a randomised controlled design in a larger study population. Originality/Value - The research built upon previous evidence of needs of people with mild dementia and the findings are valuable in directing further research and innovation. However, it was found that this technology can be complex to implement in a manner that ensures good quality of service delivery during field tests. Take away message - The work has shown the value of designing an analysis framework for development of assistive technology that gives a strong voice to people with dementia and their carers.

  • 7.
    Nugent, C.D.
    et al.
    University of Ulster. School of Computing and Mathematics.
    Davies, R.J.
    Computer Science Research Institute, University of Ulster.
    Donnelly, M.P.
    Computer Science Research Institute, University of Ulster.
    Hallberg, Josef
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
    Hariz, M.
    INT, Paris.
    Craig, D.
    Belfast City Hospital/Queen’s University of Belfast.
    Meiland, F.
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Moelaert, F.
    Telematica Instituut, Enschede.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Sävenstedt, Stefan
    Luleå University of Technology, Department of Health Sciences, Nursing Care.
    Mulvenna, M.
    Computer Science Research Institute, University of Ulster.
    Dröes, R-M
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    The development of personalised cognitive prosthetics2008In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBS'08 - "Personalized Healthcare through Technology" / [ed] Guy Dumont, Piscataway, NJ: IEEE Communications Society, 2008, p. 787-790Conference paper (Refereed)
    Abstract [en]

    Persons suffering from mild dementia can benefit from a form of cognitive prosthetic which can be used to assist them with their day to day activities. Within our current work we are aiming to develop a successful user-validated cognitive prosthetic for persons with mild dementia. We have devised a three phased waterfall methodology to support our developments. Based on the evaluation of the first of these phases which involved the processes of user requirements gathering, prototype development and evaluation of in situ deployment of the technology we have been able to guide the technical development within the second phase of our work. Within this paper we provide an overview of the first phase of our methodology and demonstrate how we have used the results from this to guide the second phase of our work, especially with regards to the notion of personalisation.

  • 8.
    Nugent, Chris
    et al.
    Computer Science Research Institute, University of Ulster.
    Moelaert, Ferial
    Telematica Instituut, Enschede.
    Davies, Richard
    University of Ulster.
    Donnelly, Mark
    University of Ulster.
    Sävenstedt, Stefan
    Luleå University of Technology, Department of Health Sciences, Nursing Care.
    Meiland, Franka
    VU University Medical Center.
    Droes, Rose-Marie
    VU University Medical Center.
    Hettinga, Marike
    Telematica Instituut, Enschede.
    Craig, David
    Belfast City Hospital/Queen’s University of Belfast.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Mulvenna, Maurice
    Computer Science Research Institute, University of Ulster.
    Evaluation of mobile and home based cognitive prosthetics2008In: Smart Homes and Health Telematics: 6th International Conference, ICOST 2008 Ames, IA, USA, June 28-July 2, 2008 Proceedings / [ed] Sumi Helal, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2008, p. 18-25Conference paper (Refereed)
    Abstract [en]

    Those suffering from mild dementia exhibit impairments of memory, thought and reasoning. It has been recognised that the deployment of technological solutions to address such impairments may have a major positive impact on quality of life. In the current paper we present results from the CogKnow Project following the evaluation of a suite of mobile and home based cognitive prosthetics to assist persons suffering from mild dementia. The results following an evaluation of the technology conducted with 16 people with mild dementia (and their carers) across 3 different trial sites are outlined. The paper concludes with details describing the process by which the outcomes of the evaluation will be used to guide the developments of a second generation of both mobile and home based cognitive prosthetic.

  • 9.
    Nugent, Chris
    et al.
    University of Ulster. School of Computing and Mathematics.
    Mulvenna, Maurice
    University of Ulster. School of Computing and Mathematics.
    Moelaert, Ferial
    Telematica Instituut, Enschede.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Meiland, Franka
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Craig, David
    Belfast City Hospital/Queen’s University of Belfast.
    Davies, Richard
    University of Ulster. School of Computing and Mathematics.
    Reinersmann, Annika
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Hettinga, Marike
    Telematica Instituut, Enschede.
    Andersson, Anna-Lena
    Luleå University of Technology.
    Droes, Rose-Marie
    Department of Psychiatry, Alzheimer centre, VU University Medical Center.
    Bengtsson, Johan
    Luleå University of Technology, Department of Health Sciences, eHealth Innovation Centre. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Home-based assistive technologies for persons with mild dementia2007In: Pervasive Computing for Quality of Life Enhancement: 5th International Conference On Smart Homes and Health Telematics, ICOST 2007. Proceedings, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2007, p. 63-69Conference paper (Refereed)
    Abstract [en]

    Those suffering from mild dementia exhibit impairments of memory, thought and reasoning. It has been recognised that deployment of technological solutions to address such impairments may have a major positive impact on the quality of life and can be used to help perform daily life activities hence maintaining a level of independence. In this paper we present an overview of our current investigations into how technology can be used to improve the quality of life of the ageing person with mild dementia. Specifically, we detail the methodology adopted for our work, outline results attained from a series of workshops to identify user needs and finally present how these user needs have been mapped onto the design of home based assistive technologies.

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