Dr. Michael Craven is Senior Research Fellow at the University of Nottingham in the NIHR MindTech MedTech Co-operative, http://mindtech.org.uk specialising in technology design and evaluation in healthcare, currently focussed on mental health and dementia and more generally with medical devices and digital healthcare. He has around 30 years of research experience spanning healthcare, electronic engineering, computer science, health economics and is involved with several aspects of teaching & learning (lecturing, postgraduate supervision, course development). For details of publications please visit https://orcid.org/0000-0001-5682-6360
Mike is a member of the Faculty of Engineering Bioengineering Research Group and also of the Centre for Dementia at the University of Nottingham. He has an honorary contract with Nottingham Healthcare NHS Foundation Trust and is also involved with the Centre for Healthcare Equipment and Technology Adoption (CHEATA) based in the Nottingham University Hospitals NHS Trust. He is a trustee and co-director of the Trent Dementia charity based at the Institute of Mental Health, and is a member of the East Midlands Research into Aging Network (EMRAN).
Current or recent MindTech projects include:
- gameChange, a Virtual Reality therapy for people with schizophrenia. NIHR i4i Challenge funded.
- Remote Monitoring Technology platform for central nervous system disorders (RADAR-CNS). EU H2020 IMI2 funded
- Designing for Dementia (MinD). EU H2020 MCSA RISE funded.
- Brain+ AD Detect-Prevent. Cognitive testing and training app. H2020 FTI funded.
- Dynamic well-being visualisation toolbox for digital products. EPSRC NewMind+ funded.
- Interventions for people with Tourette's Syndrome (tics). ORBIT HTA study and Buzzbeats smart watch.
- Smartphone Apps for self-monitoring in Attention Deficit Hyperactivity Disorder (SnappyApp & iRAM)
- Gamification of ADHD public awareness on large touchscreens (Attention Grabber);
- Evaluation of digital technology (websites and Apps) for mental health and well-being co-produced by young people (Innovation Labs evaluation for Comic Relief);
- Evaluation of The Big White Wall online mental health portal implementation in Derbyshire.
- Design and evaluation of technologies for older people with dementia and carers (CASA and KuPA);
Prior to joining MindTech he was in the MATCH programme at Nottingham researching methods and tools to ease the process of determining the value of healthcare technology innovations. There he worked closely with NHS innovation partners and medical device companies. Knowledge exchange activities included early stage health economic modelling and human factors methods to capture the needs of users (health professionals and/or patients) and delivery of training workshops with the support of Medilink organisations and the Knowledge Transfer Network. He also conducted Health Technology Assessments for the Centre for Evidence Based Procurement (CEP), NICE and the Manufacturing Advisory Service (MAS). His current research interests are the following areas: self-monitoring of health (devices & Apps); games and simulation; information design in diagnostics and screening; evaluation of imaging and surgery navigation systems. Other research interests have included design of a variety of technologies: collaborative virtual environments; assistive & augmentative communication systems (gesture-based); microelectronics. Mike obtained a PhD (1994) and MSc (Modern Electronics, 1989) from the University of Nottingham and BSc (Physics, 1987) from the University of Bristol.
Dr. Michael Craven is Senior Research Fellow at the University of Nottingham in the NIHR MindTech MedTech Co-operative, http://mindtech.org.uk specialising in technology design and evaluation in healthcare, currently focussed on mental health and dementia.
- Evaluation methods for healthcare innovations, in particular medical devices and digital/ICT products. Co-design methods. Early stage evaluation tools. Health economics reports for the NHS and industry.
- Collaborative Virtual Environments, web & mobile applications, in particular applications for media and entertainment.
- Application of Artificial Neural Networks to pattern recognition, and improvement of learning algorithms. Gesture recognition systems, in particular assistive gesture-to-speech system for persons with motor disability.
- Other areas of past research: VLSI techniques for analogue computation, in particular neural network design; Digital video annotation, for distance learning applications; Stereoscopic display technologies for 3D TV; Teaching quality improvement - using Action Research techniques; Computer modelling of microwave heating of ceramic materials.
Current. C84DEM Dementia and Ageing (guest lecturer on Dementia and Technology).
Up to 2013, convenor and lecturer, School of Electrical & Electronic Engineering: Electronic Design (3rd year BSc/MEng/MSc module H63END); Industrial Awareness (3rd year MEng module H64IND); VLSI Design (3rd year BSc/MEng/MSc module H63VLS).
Elsewhere: Digital Signal Processing, Electromagnetics, Microprocessors and Microcontrollers, Automation, PCs & PLCs, Introduction to C++, Computers in Engineering, Information Technology (BEng & Dip. Eng modules).
Dr. Michael Craven is Senior Research Fellow at the University of Nottingham in the NIHR MindTech MedTech Co-operative. http://mindtech.org.uk specialising in technology design and evaluation in… read more
Dr. Michael Craven is Senior Research Fellow at the University of Nottingham in the NIHR MindTech MedTech Co-operative. http://mindtech.org.uk specialising in technology design and evaluation in healthcare, currently focussed on mental health and dementia.
- Co-design of mobile solutions used by patients or for wellness applications e.g. ADHD self-monitoring (SnappyApp & iRAM projects), remote monitoring wearable platform (RADAR-CNS project).
- Assistive technologies in dementia care (CASA & KuPA projects).
- Evaluation methods for healthcare innovations, in particular medical devices and digital/ICT products (Innovations Labs project).
- Early stage value assessment tools. User elicitation methods. Health economics reports for the NHS (MATCH programme).
- Design of patient information for diagnostics and screening (PhD Supervision)
- Applications of Artificial Neural Networks to pattern recogition, and improvement of learning algorithms.
- Gesture recognition systems, in particular assistive gesture-to-speech system for persons with motor disability.
- VLSI techniques for analogue neural network design, and analogue computation in general.
- Collaborative Virtual Environments, in particular applications for media and entertainment.
- Web technologies including visualisation and applications in tourism.
- Digital video annotation, for distance learning applications.
- Stereoscopic display technologies for 3D TV.
- Teaching quality improvement - using Action Research techniques
- Computer modelling of microwave heating of ceramic materials
I am developing research in the area of innovation and evaluation for healthcare technologies (medical devices and digital tools) for mental health and dementia care. I am currently interested in co-developing applications and evaluation methods for pervasive and ubiquitous computing in Healthcare (mHealth, such as mobile Apps). I am interested in gamification of healthcare technologies. I also wish to pursue collaborations in the design and evaluation of surgical simulators and am open to discussion of developing past research areas.