Sleep Staging Using Wearables and Deep Neural Networks
Davidson S. et al, (2023), 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 1 - 4
Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure
Finnegan E. et al, (2023), Scientific Reports, 13
Non-contact physiological monitoring of post-operative patients in the intensive care unit
Jorge J. et al, (2022), npj Digital Medicine, 5
Contactless skin perfusion monitoring with video cameras: tracking pharmacological vasoconstriction and vasodilation using photoplethysmographic changes
Harford M. et al, (2022), Physiological Measurement, 43, 115001 - 115001
Diagnosing hypertension in primary care: a retrospective cohort study to investigate the importance of night-time blood pressure assessment
Armitage LC. et al, (2022), British Journal of General Practice, BJGP.2022.0160 - BJGP.2022.0160
Classifying nocturnal blood pressure patterns using photoplethysmogram features.
Finnegan E. et al, (2022), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 3401 - 3404
Correction to: Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data.
Davidson S. et al, (2022), Critical care (London, England), 26, 22 - 22
The presence of a circadian rhythm in pulse arrival time and its application for classifying blood pressure night-time dip.
Finnegan E. et al, (2021), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 488 - 491
A Chest Patch for Continuous Vital Sign Monitoring: Clinical Validation Study During Movement and Controlled Hypoxia
Morgado Areia C. et al, (2021), Journal of Medical Internet Research, 23, e27547 - e27547
Day‑to‑day progression of vital‑sign circadian rhythms in the intensive care unit
DAVIDSON S. et al, (2021), Critical Care (UK)
Wearable pulse oximeters in the prompt detection of hypoxaemia and during movement: a diagnostic accuracy study (Preprint)
Santos M. et al, (2021), Journal of Medical Internet Research
Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography
Jorge J. et al, (2021), IEEE Transactions on Biomedical Engineering, 68, 276 - 288
Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data
Davidson S. et al, (2020), Critical Care, 24
Frailty and unplanned admissions to the intensive care unit: a retrospective cohort study in the UK
Redfern OC. et al, (2020), Intensive Care Medicine, 46, 1512 - 1513
Frailty assessment in very old intensive care patients: the Hospital Frailty Risk Score answers another question
Redfern OC. et al, (2020), Intensive Care Medicine, 46, 1516 - 1517
Study protocol for an exploratory interventional study investigating the feasibility of video-based non-contact physiological monitoring in healthy volunteers by Mapping Of Lower Limb skIn pErfusion (MOLLIE)
Harford M. et al, (2020), BMJ Open, 10, e036235 - e036235
Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU
Finnegan E. et al, (2020), 2020 COMPUTING IN CARDIOLOGY