World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6026
World Ranking
8347
National Ranking
534

Overview

Richard Bayford is affiliated with Middlesex University in the United Kingdom and has a research focus spanning engineering and medicine. Their work primarily intersects with electrical and electronic engineering as well as biomedical engineering. The scientist's contributions also touch on surgery, pulmonary and respiratory medicine, and physiology.

The main topics covered by Bayford's research include:

  • Electrical and Bioimpedance Tomography
  • Hemodynamic Monitoring and Therapy
  • Microfluidic and Bio-sensing Technologies
  • Respiratory Support and Mechanisms
  • Neonatal Respiratory Health Research
  • Non-Invasive Vital Sign Monitoring
  • Body Composition Measurement Techniques

Bayford has collaborated extensively with several researchers, including:

  • Andreas Demosthenous
  • Inéz Frerichs
  • Merja Kallio
  • Yu Wu
  • Dai Jiang

The scientist's frequent publication venues reflect their interdisciplinary focus and include:

  • Physiological Measurement
  • IEEE Access
  • Scientific Reports
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Some of the recent notable papers by Richard Bayford are:

  • Electrical Impedance Tomography for Biomedical Applications: Circuits and Systems Review, 2021, IEEE Open Journal of Circuits and Systems
  • The clinical application of electrical impedance technology in the detection of malignant neoplasms: a systematic review, 2020, Journal of Translational Medicine
  • Prolonged Continuous Monitoring of Regional Lung Function in Infants with Respiratory Failure, 2021, Annals of the American Thoracic Society
  • Thoracic shape changes in newborns due to their position, 2021, Scientific Reports
  • A Framework for Adapting Deep Brain Stimulation Using Parkinsonian State Estimates, 2020, Frontiers in Neuroscience

Best Publications

  • GREIT: a unified approach to 2D linear EIT reconstruction of lung images.

    Andy Adler;John H Arnold;Richard Bayford;Andrea Borsic

  • BIOIMPEDANCE TOMOGRAPHY (ELECTRICAL IMPEDANCE TOMOGRAPHY)

    Richard Bayford

  • Three-dimensional electrical impedance tomography of human brain activity.

    Tom Tidswell;Adam Gibson;Richard H. Bayford;David S. Holder

  • Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method.

    Andrew P Bagshaw;Adam D Liston;Richard H Bayford;Andrew Tizzard

  • Whither lung EIT: where are we, where do we want to go and what do we need to get there?

    Andy Adler;Marcelo B Amato;John H Arnold;Richard Bayford

  • Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration

    A. Romsauerova;A. McEwan;Lior Horesh;Rebecca J. Yerworth

  • Use of anisotropic modelling in electrical impedance tomography: description of method and preliminary assessment of utility in imaging brain function in the adult human head.

    Juan-Felipe P.J. Abascal;Simon R. Arridge;David Atkinson;Raya Horesh

  • Design and calibration of a compact multi-frequency EIT system for acute stroke imaging

    A. McEwan;A. Romsauerova;Rebecca J. Yerworth;Lior Horesh

  • Electrical impedance tomography spectroscopy (EITS) for human head imaging

    Rebecca J. Yerworth;Richard Bayford;Richard Bayford;B. Brown;P. Milnes

  • Generating accurate finite element meshes for the forward model of the human head in EIT.

    Andrew Tizzard;Lior Horesh;Rebecca J. Yerworth;David S. Holder

  • Detection of the tau protein in human serum by a sensitive four-electrode electrochemical biosensor

    Scarlet Xiaoyan Wang;Desiree Acha;Ajit J. Shah;Frank Hills

  • Bioimpedance imaging: an overview of potential clinical applications.

    Richard Bayford;Andrew Tizzard

  • Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans

    L Fabrizi;M Sparkes;L Horesh;J F Perez-Juste Abascal

  • Design and performance of the UCLH mark 1b 64 channel electrical impedance tomography (EIT) system, optimized for imaging brain function.

    Rebecca J. Yerworth;Richard Bayford;Richard Bayford;G. Cusick;M. Conway

  • Electrical Impedance Tomography for Biomedical Applications: Circuits and Systems Review

    Yu Wu;Farnaz Fahimi Hanzaee;Dai Jiang;Richard H. Bayford

  • A High Frame Rate Wearable EIT System Using Active Electrode ASICs for Lung Respiration and Heart Rate Monitoring

    Yu Wu;Dai Jiang;Andy Bardill;Serena de Gelidi

  • Electrical impedance tomography of human brain activity with a two-dimensional ring of scalp electrodes

    A.T. Tidswell;Adam Gibson;Richard Bayford;Richard Bayford;David S. Holder

  • Validation of a 3D reconstruction algorithm for EIT of human brain function in a realistic head-shaped tank.

    A.T. Tidswell;Adam Gibson;Richard Bayford;Richard Bayford;David S. Holder

  • A Human–Machine Interface Using Electrical Impedance Tomography for Hand Prosthesis Control

    Yu Wu;Dai Jiang;Xiao Liu;Richard Bayford

  • The influence of reactivity of the electrode–brain interface on the crossing electric current in therapeutic deep brain stimulation

    Nada Yousif;Richard Bayford;Xuguang Liu;Xuguang Liu

  • Comparison of a new integrated current source with the modified Howland circuit for EIT applications

    Hongwei Hong;Mohamad Rahal;Andreas Demosthenous;Richard H Bayford

  • A 122 fps, 1 MHz Bandwidth Multi-Frequency Wearable EIT Belt Featuring Novel Active Electrode Architecture for Neonatal Thorax Vital Sign Monitoring

    Yu Wu;Dai Jiang;Andy Bardill;Richard Bayford

  • The influence of ligand organization on the rate of uptake of gold nanoparticles by colorectal cancer cells

    Torben Lund;Martina F. Callaghan;Phil Williams;Mark Turmaine

Frequent Co-Authors

Andreas Demosthenous
Andreas Demosthenous University College London
David Holder
David Holder University College London
Xuguang Liu
Xuguang Liu Imperial College London
Andrew P. Bagshaw
Andrew P. Bagshaw University of Birmingham
Colin D. Binnie
Colin D. Binnie University of Cambridge
Brian H. Brown
Brian H. Brown University of Sheffield
Andy Adler
Andy Adler Carleton University
Simon R. Arridge
Simon R. Arridge University College London
Peter G. Bain
Peter G. Bain Imperial College London
Huw Jones
Huw Jones Aberystwyth University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Richard Bayford

Trending Scientists

Recently Published Articles