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Research project

Simpson - Diversity in blood flow control to the brain: moving from individualised modelling towards personalised treatment of the injured brain

Staff

Lead researchers

Professor David Simpson

Prof of Biomedical Signal Processing

Research interests

  • His research interests are in biomedical signal processing with applications in neurophysiology and cardio-vascular and cerebro-vascular control. Specific topics are:
  • Blood flow control in the brain (how does the brain regulate is own blood supply and how to detect impairment of this function).
  • Auditory evoked potentials (methods to detect the small electrical responses of the brain to auditory stimulation for the assessment of various hearing disorders).
Connect with David

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

Reproducibility of dynamic cerebral autoregulation parameters
Marit L. Sanders, Jurgen A.H.R. Claassen, Marcel Aries, Edson Bor-Seng-Shu, Alexander Caicedo, Max Chacon, Erik D. Gommer, Sabine Van Huffel, José L. Jara, Kyriaki Kostoglou, Adam Mahdi, Vasilis Z. Marmarelis, Georgios D. Mitsis, Martin Müller, Dragana Nikolic, Ricardo C. Nogueira, Stephen J. Payne, Corina Puppo, Dae C. Shin, David M. Simpson, Takashi Tarumi, Bernardo Yelicich, Rong Zhang, Ronney B. Panerai & Jan Willem J. Elting, 2018, Physiological Measurement, 39(12)
DOI: 10.1088/1361-6579/aae9fd
Type: article
CrossTalk opposing view
David Simpson & Jurgen Claassen, 2018, Journal of Physiology, 596(1), 7-9
DOI: 10.1113/JP273900
Type: article
Rebuttal from David Simpson and Jurgen Claassen
David Simpson & Jurgen Claassen, 2018, Journal of Physiology, 596(1), 13
DOI: 10.1113/JP275041
Type: article
Coherent averaging of pseudorandom binary stimuli
Emmanuel Katsogridakis, David Simpson, Glen Blush, Lingke Fan, Anthony Birch, Robert Allen, John Potter & Ronney Panerai, 2017, Physiological Measurement, 38(12), 2164-2175
DOI: 10.1088/1361-6579/aa9086
Type: article
Estimation of confidence limits for descriptive indexes derived from autoregressive analysis of time series
Alessandro Beda, David M. Simpson & Luca Faes, 2017, PLoS ONE, 12(10)
DOI: 10.1371/journal.pone.0183230
Type: article