Lionel Tarassenko
Professor of Engineering Science
Applies signal processing and machine learning in healthcare, including early warning systems and smartphone self-management of chronic conditions.
Lionel Tarassenko's lab at Oxford works on medical imaging & healthcare AI, signal processing & information theory and speech enhancement & signal processing. 23 papers since 2023, 1 at top venues, mostly CVPR and NPJ Parkinson's disease. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 4%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 8 papers2024 · T1 1
- 6 papers2023 · T1 0
T1 venuesOtherVenues: CVPR, NPJ Parkinson's disease
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI4 papers
- Signal processing & information theory0 papers
- Speech enhancement & signal processing0 papers
- smartphone0 papers
- conditions0 papers
Paper list
From the lab homepage.
20266 papers
- JMIR Medical InformaticsClinical Evaluation of a Real-Time Wearable System for Monitoring In-Hospital Ambulatory Patients With COVID-19: Retrospective Data Study (opens in a new tab)
- Frontiers in NeuroscienceLongitudinal cardiorespiratory wearable sleep staging in the home (opens in a new tab)
- Nature MedicinePublisher Correction: Reliability of LLMs as medical assistants for the general public: a randomized preregistered study (opens in a new tab)
- Nature MedicineReliability of LLMs as medical assistants for the general public: a randomized preregistered study (opens in a new tab)
- BMJ OpenScreening for hypertension in the inpatient environment (SHINE): a prospective diagnostic accuracy study among adult hospital patients. (opens in a new tab)
- BMC Cardiovascular DisordersSelf-management of blood pressure following hypertensive pregnancy (the SNAP2 trial): a prospective, multi-centre, unblinded, randomised controlled trial protocol (opens in a new tab)
20253 papers
- SLEEPIs it time to revisit the scoring of Slow Wave (N3) Sleep? (opens in a new tab)
- Pilot and Feasibility StudiesMonitoring activity of Hip Injury Patients (MoHIP): A sub-study of the World Hip Trauma
- WSCSafety and effectiveness of early intensive blood pressure treatment after TIA and minor stroke: prospective population-based sequential comparison (opens in a new tab)
20248 papers
- BMJ OpenDevelopment 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 (opens in a new tab)
- BMJ Open QualityRapid implementation of blood pressure self-monitoring in pregnancy at a UK NHS Trust during the COVID-19 pandemic: a quality improvement evaluation (opens in a new tab)
- Journal of the American Medical Directors AssociationRemote vital sign monitoring in admission avoidance hospital at home: a systematic review (opens in a new tab)
- BMC Cardiovascular DisordersSelf-monitoring of blood pressure following a stroke or transient ischaemic attack (TASMIN5S): a randomised controlled trial (opens in a new tab)
- CVPR (T1)SleepVST: sleep staging from near-infrared video signals using pre-trained transformers (opens in a new tab)
- Pilot and Feasibility StudiesSupporting people with type 2 diabetes diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a feasibility randomised trial (opens in a new tab)
- Pilot and Feasibility StudiesSupporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a feasibility randomised trial (opens in a new tab)
- Proceedings of Machine Learning Researchwav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals
20236 papers
- CVPRWDeep learning-enabled sleep staging from vital signs and activity measured using a near-infrared video camera (opens in a new tab)
- Scientific ReportsFeatures from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure (opens in a new tab)
- NPJ Parkinson's diseaseIdentification of motor progression in Parkinson's disease using wearable sensors and machine learning. (opens in a new tab)
- BHISleep staging using wearables and deep neural networks (opens in a new tab)
- Journal of Advanced NursingUsing a novel ambulatory monitoring system to support patient safety on an acute infectious disease ward during an unfolding pandemic (opens in a new tab)
- BHIWearables for continuous patient monitoring on COVID-19 isolation wards (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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