How we work
We are a research led, innovation and design collabortion centre run be the faculty of Science and Technology at Middlesex University, London.
redLoop is driven by collaborative innovation. We work with research teams and form project groups to develop and deliver projects that increase the potential and impact of the University’s work for internal and external partners, networks and clients.
We provide opportunities for students to gain experience in a unique working environment, with leading edge design and innovation practice, delivered with the insight of educators.
We develop professional competence and employability potential through projects, placements and internships.
If you would like to discuss how we might work together, or you are interested in a placement or internship then please get in touch.
Research
Research underpins, and arises from, the work that we do in the centre. The breadth of our research output is indicative of the range of collaborators and clients that we work with and the projects that we undertake. Some recent and relevant publications include:
de Gelidi, Serena , Seifnaraghi, Nima, Bardill, Andy, Wu, Yu, Frerichs, Inéz, Demosthenous, Andreas, Tizzard, Andrew and Bayford, Richard (2020) Towards a thoracic conductive phantom for EIT. Medical Engineering and Physics . ISSN 1350-4533 (Published online first)
Wu, Yu, jiang, Dai, Bardill, Andy, Bayford, Richard and Demosthenous, Andreas (2019) A 122 fps, 1 MHz bandwidth multi-frequency wearable EIT belt featuring novel active electrode architecture for neonatal thorax vital sign monitoring. IEEE Transactions on Biomedical Circuits and Systems, 13 (5). pp. 927-937. ISSN 1932-4545
Wu, Yu, Jiang, Dai, Bardill, Andy, de Gelidi, Serena, Bayford, Richard and Demosthenous, Andreas (2018) A high frame rate wearable EIT system using active electrode ASICs for lung respiration and heart rate monitoring. IEEE transactions on circuits and systems. I, Fundamental theory and applications, 65 (11). pp. 3810-3820. ISSN 1549-8328
de Gelidi, Serena, Seifnaraghi, Nima, Bardill, Andy, Tizzard, Andrew, Wu, Yu, Sorantin, Erich, Nordebo, Sven, Demosthenous, Andreas and Bayford, Richard (2018) Torso shape detection to improve lung monitoring. Physiological Measurement, 39 (7). ISSN 0967-3334
Jordan, Patrick W., Bardill, Andy, Herd, Kate and Grimaldi, Silvia (2017) Design for subjective wellbeing: towards a design framework for constructing narrative. The Design Journal, 20 (Sup1). S4292-S4306. ISSN 1460-6925 (doi:10.1080/14606925.2017.1352926)
Jordan, Patrick, Bardill, Andy, Herd, Kate and Grimaldi, Silvia (2017) Design for subjective wellbeing: towards a design framework for constructing narrative. In: Design for Next 12th EAD Conference, 12-14 Apr 2017, Rome, Italy.
de Gelidi, Serena, Bardill, Andy, Wu, Yu, Demosthenous, Andreas, Tizzard, Andrew and Bayford, Richard (2017) Torso shape detection to improve lung monitoring. In: 18th International Conference on Biomedical Applications of Electrical Impedance Tomography, 21-24 June 2017, Hanover, New Hampshire, USA.
Szynalska, Karolina, Fields, Bob and Bardill, Andy (2017) Insight/inside learning: a participatory app for analysing the effectiveness of school environments. In: People, Personal Data and the Built Environment: A DIS2017 Workshop, 10 June 2017, Edinburgh.
Marzano, Lisa, Al-Ayoubi, Laila, Bardill, Andy, Herd, Kate, Vale, David, Grey, Nick and Moran, Paul (2017) Making a difference with ‘smartphone psychology’: can mobile digital technologies help create new insights into self-harming behaviours? In: Making a Difference with Psychology. Niven, Karen, Lewis, Suzan and Kagan, Carolyn, eds. Richard Benjamin Trust, United Kingdom, pp. 139-147. ISBN 9781788085670
Nguyen, Phong H., Xu, Kai, Bardill, Andy, Salman, Betul, Herd, Kate and Wong, B. L. William (2016) SenseMap: supporting browser-based online sensemaking through analytic provenance. In: VIS 2016: IEEE Visualization Conference, 23-28 Oct 2016, Baltimore, Maryland, USA.
Marzano, Lisa, Bardill, Andy, Fields, Bob, Herd, Kate, Veale, David, Grey, Nick and Moran, Paul (2015) The application of ‘mHealth’ to mental health: opportunities and challenges. The Lancet Psychiatry, 2 (10). pp. 942-948. ISSN 2215-0366
Fields, Bob, Bardill, Andy, Marzano, Lisa and Herd, Kate (2015) Hard-to-get-at data from difficult-to-access users. In: 15th IFIP TC 13 International Conference on Human-Computer Interaction – Interact 2015:, 14-18 Sept 2015, Bamberg, Germany.