Stephanie Baker

ORCID: 0000-0003-0467-7791
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About
Contact & Profiles
Research Areas
  • Non-Invasive Vital Sign Monitoring
  • ECG Monitoring and Analysis
  • Kidney Stones and Urolithiasis Treatments
  • Hemodynamic Monitoring and Therapy
  • Neonatal and fetal brain pathology
  • Renal and Vascular Pathologies
  • Healthcare Technology and Patient Monitoring
  • Nephrotoxicity and Medicinal Plants
  • Heart Rate Variability and Autonomic Control
  • Muscle and Compartmental Disorders
  • Neonatal Respiratory Health Research
  • Telemedicine and Telehealth Implementation
  • Pediatric Urology and Nephrology Studies
  • Mobile Health and mHealth Applications
  • Healthcare Quality and Management
  • Vascular Malformations and Hemangiomas
  • Machine Learning in Healthcare
  • Vasculitis and related conditions
  • Microbial infections and disease research
  • Tuberculosis Research and Epidemiology
  • COVID-19 diagnosis using AI
  • Privacy-Preserving Technologies in Data
  • Health Policy Implementation Science
  • Urban Heat Island Mitigation
  • Blood groups and transfusion

James Cook University
2017-2025

Grantham and District Hospital
2010-2020

University Hospitals Sussex NHS Foundation Trust
2018

École Nationale d'Administration
2011

Intermountain Medical Center
2010

University of Manchester
1958-1964

Manchester University
1964

Manchester Royal Infirmary
1964

The Christie Hospital
1961-1963

Internet of Things (IoT) technology has attracted much attention in recent years for its potential to alleviate the strain on healthcare systems caused by an aging population and a rise chronic illness. Standardization is key issue limiting progress this area, thus paper proposes standard model application future IoT systems. This survey then presents state-of-the-art research relating each area model, evaluating their strengths, weaknesses, overall suitability wearable system. Challenges...

10.1109/access.2017.2775180 article EN cc-by-nc-nd IEEE Access 2017-01-01

Healthcare systems are under increasing strain due to a myriad of factors, from steadily ageing global population the current COVID-19 pandemic. In world where we have needed be connected but apart, need for enhanced remote and at-home healthcare has become clear. The Internet Things (IoT) offers promising solution. IoT created highly world, with billions devices collecting communicating data range applications, including healthcare. Due these high volumes data, natural synergy Artificial...

10.1109/comst.2023.3256323 article EN cc-by IEEE Communications Surveys & Tutorials 2023-01-01

Background and objectives: Continuous non-invasive blood pressure monitoring would revolutionize healthcare. Currently, (BP) can only be accurately monitored using obtrusive cuff-based devices or invasive intra-arterial monitoring. In this work, we propose a novel hybrid neural network for the accurate estimation of electrocardiogram (ECG) photoplethysmogram (PPG) waveforms as inputs. Methods: This work proposes combines feature detection abilities temporal convolutional layers with strong...

10.1016/j.cmpb.2021.106191 article EN cc-by Computer Methods and Programs in Biomedicine 2021-05-21

Branches of tortuous arteries in the adventitia minor calyces supply blood to renal papilla. The papilla therefore receives from both vasa recta and calyx. In certain pathological conditions this dual is importance. It probably accounts for preservation adjacent medulla cases acute tubular necrosis. When calycine vessels are occluded, any interference with through recta, such as occurs during peripheral circulatory failure, liable lead ischemic necrosis

10.1111/j.1464-410x.1959.tb09381.x article EN British Journal of Urology 1959-03-01

Abstract Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes ICUs today require laborious manual input many complex parameters. In this work, we present a scheme that uses variations vital signs over 24-h period to make mortality assessments for 3-day, 7-day, and 14-day windows. We develop hybrid neural network model combines convolutional (CNN) layers with bidirectional long short-term memory (BiLSTM) predict from...

10.1038/s41598-020-78184-7 article EN cc-by Scientific Reports 2020-12-04

Journal Article ACUTE ANURIC GLOMERULONEPHRITIS Get access G.M. BERLYNE, BERLYNE From the Departments of Medicine and Pathology, University Manchester Search for other works by this author on: Oxford Academic PubMed Google Scholar S.B. DE C. BAKER QJM: An International Medicine, Volume 33, Issue 1, January 1964, Pages 105–115, https://doi.org/10.1093/oxfordjournals.qjmed.a067007 Published: 01 1964 history Received: 05 July 1963

10.1093/oxfordjournals.qjmed.a067007 article EN QJM 1964-01-01

IDIOPATHIC paroxysmal myoglobinuria, variously described as paralytic idiopathic recurrent rhabdomyolysis with myoglobinuria and spontaneous is a rare disorder of voluntary muscle characterized by episodes pain weakness the passage myoglobin in urine. Other causes such convulsive attacks, peripheral vascular disease ischemia, crush syndrome electrocution have visible basis identifiable damage. Any these conditions may give rise to renal impairment, death from acute failure occur.1 2 3 In...

10.1056/nejm196408062710603 article EN New England Journal of Medicine 1964-08-06

Journal Article RENAL ARTERY STENOSIS AND THE NEPHROTIC SYNDROME Get access G.M. BERLYNE, BERLYNE From the University Departments of Medicine and Pathology, Manchester Royal Infirmary Search for other works by this author on: Oxford Academic PubMed Google Scholar A.S. TAVILL, TAVILL S.B. DE C. BAKER QJM: An International Medicine, Volume 33, Issue 3, July 1964, Pages 325–335, https://doi.org/10.1093/oxfordjournals.qjmed.a067023 Published: 01 1964 history Received: 18 January

10.1093/oxfordjournals.qjmed.a067023 article EN QJM 1964-07-01

10.1002/path.1700870107 article RO The Journal of Pathology 1964-01-01

10.1002/path.1700750221 article EN The Journal of Pathology 1958-04-01

Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient outcomes. Currently, RR is under-recorded in clinical environments often measured by manually counting breaths. In this work, we investigate the use of signal quality quantification several neural network (NN) structures for improved estimation. We extract modulation signals from electrocardiogram (ECG) photoplethysmogram (PPG) signals, calculate a possible each extracted signal. develop...

10.1371/journal.pone.0249843 article EN cc-by PLoS ONE 2021-04-08

Premature birth is the primary risk factor in neonatal deaths, with majority of extremely premature babies cared for intensive care units (NICUs). Mortality prediction this setting can greatly improve patient outcomes and resource utilization. However, existing schemes often require laborious medical testing calculation, are typically only calculated once at admission. In work, we propose a shallow hybrid neural network mortality 3-day, 7-day, 14-day windows using birthweight, gestational...

10.1016/j.compbiomed.2021.104521 article EN cc-by-nc-nd Computers in Biology and Medicine 2021-06-03

Artificial intelligence (AI) has been clearly established as a technology with the potential to revolutionize fields from healthcare finance - if developed and deployed responsibly. This is topic of responsible AI, which emphasizes need develop trustworthy AI systems that minimize bias, protect privacy, support security, enhance transparency accountability. Explainable (XAI) broadly considered building block for (RAI), most literature considering it solution improved transparency. work...

10.48550/arxiv.2312.01555 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Functionally uni-leaflet mitral valves are extremely rare. In severe cases, they considered incompatible with life beyond the neonatal period. We present a case series of three adults almost complete absence posterior valve leaflet and who asymptomatic, no more than mild regurgitation. believe that this is first reported instance such findings in single family.

10.1093/ejechocard/jeq021 article EN European Heart Journal - Cardiovascular Imaging 2010-03-10

Total faecal calcium is then given by f=(d+s) (1-a)+s' ................... (1) The discussion simplified taking s+s'=287 mg./day, the value found Dr.Rose and his colleagues, s'=40 derived Heaney.' Equation ( 1) reduces to f=(d+247) (1-a)+40 or, a.d=(d-f)-247.a+287............ (2) plotted for various values of a d in Figure.At constant a.d on (d-f) family straight lines with gradient unity.The line degenerates point, V, at = 0. XY UT represent a=1 =0.5 At -f radiating from V (a 0).VW VY diets...

10.1136/bmj.2.5457.363-a article EN BMJ 1965-08-07

Optical remotely sensed data often have gaps due to cloud coverage, which hinders their full potential in many environmental applications. The question of how accurately and effectively reconstruct the measurements remains a challenge. In this study, we developed bidirectional long short-term memory (BiLSTM) model with novel adaptable custom temporal penalty layer for spatiotemporal gap-filling. was trained tested time-series daily night-time sea surface temperature (SST) images acquired by...

10.1109/tgrs.2023.3273575 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01

Abstract This article sets out a summary of standards for departmental accreditation set by the British Society Echocardiography (BSE) Departmental Accreditation Committee. Full are available at www.bsecho.org . The BSE were first national organisation to establish quality framework departments that support practice individual echocardiographers. is an updated version which recognises that, not only should all echocardiographers be individually accredited as competent practice, but also need...

10.1530/erp-19-0045 article EN cc-by Echo Research and Practice 2020-02-18

Objectives: Increasing demands on the urology outpatient department at Brighton and Sussex University Hospitals (BSUH) have posed a significant challenge provision of timely service for patients with stone disease. This study aimed to evaluate patient outcomes waiting times achieved newly implemented virtual clinic (VSC). Materials methods: All new referrals received between August 2016 January 2017 BSUH were discussed in VSC. Patients reviewed within seven days referral by multidisciplinary...

10.1177/2051415818757933 article EN Journal of Clinical Urology 2018-02-09
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