Protocol for a prospective, controlled, cross-sectional, diagnostic accuracy study to evaluate the specificity and sensitivity of ambulatory monitoring systems in the prompt detection of hypoxia and during movement

Autor: Matthew J. Rowland, Pimentel Maf., Mirae Harford, O Gustafson, E. King, Peter J. Watkinson, L Young, Carlos Areia, Lionel Tarassenko, Cristian Roman, Mauro Santos, Sarah Vollam, Akshay Shah, Jody Ede, P. Piper

Publikováno v: BMJ Open

IntroductionAutomated continuous ambulatory monitoring may provide an alternative to intermittent manual vital signs monitoring. This has the potential to improve frequency of measurements, timely escalation of care and patient safety. However, a maj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50bf06a8252f21316d9a20ff8ea80f74
http://europepmc.org/articles/PMC7044954

Point process models for novelty detection on spatial point patterns and their extremes

Autor: Luca, SE, Pimentel, MAF, Watkinson, PJ, Clifton, DA

Publikováno v: COMPUTATIONAL STATISTICS & DATA ANALYSIS

© 2018 The Author(s) Novelty detection is a particular example of pattern recognition identifying patterns that departure from some model of “normal behaviour”. The classification of point patterns is considered that are defined as sets of N obs

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https://biblio.ugent.be/publication/8577587/file/8581113

A scalable mHealth system for noncommunicable disease management.

Autor: Clifford, G D, Arteta, C, Zhu, T, Pimentel, MAF, Santos, M, Domingos, J, Maraci, M, Behar, J, Oster, J

Publikováno v: IEEE Global Humanitarian Technology Conference (GHTC 2014); 2014, p41-48, 8p

Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts.

Autor: Pimentel MAF; Department of Engineering Science, University of Oxford, Oxford, UK., Johnson A; Institute of Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA., Darbyshire JL; Department of Primary Care Health Sciences, Oxford University, Oxford, UK julie.darbyshire@phc.ox.ac.uk., Tarassenko L; Department of Engineering Science, University of Oxford, Oxford, UK., Clifton DA; Department of Engineering Science, University of Oxford, Oxford, UK., Walden A; Royal Berkshire NHS Foundation Trust, Reading, UK., Rechner I; Royal Berkshire NHS Foundation Trust, Reading, UK., Watkinson PJ; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Young JD; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Publikováno v: BMJ open [BMJ Open] 2024 Apr 12; Vol. 14 (4), pp. e074604. Date of Electronic Publication: 2024 Apr 12.

A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting.

Autor: Santos MD; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom., Roman C; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom., Pimentel MAF; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom., Vollam S; Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Areia C; Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Young L; Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Watkinson P; Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Tarassenko L; Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom.

Publikováno v: Frontiers in digital health [Front Digit Health] 2021 Sep 07; Vol. 3, pp. 630273. Date of Electronic Publication: 2021 Sep 07 (Print Publication: 2021).