We use cookies to so our web site can function correctly. By Clicking "OK" or by clicking into any content on this site, you agree to allow cookies to be placed. To find out more visit the cookies section of our privacy policy.

Privacy Statement

A cookie is a small file which asks permission to be placed on your computer's hard drive. Once you agree, the file is added and the cookie helps analyse web traffic or lets you know when you visit a particular site. Cookies allow web applications to respond to you as an individual. The web application can tailor its operations to your needs, likes and dislikes by gathering and remembering information about your preferences.

We use traffic log cookies to identify which pages are being used. This helps us analyse data about web page traffic and improve our website in order to tailor it to customer needs. We only use this information for statistical analysis purposes.

Overall, cookies help us provide you with a better website, by enabling us to monitor which pages you find useful and which you do not. A cookie in no way gives us access to your computer or any information about you, other than the data you choose to share with us.

Cookie group mandatory

(Req)
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms.
You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.

These cookies are required

Functional

These cookies allow us to adtertise our products to you and allow us to pass this information on to our trusted third parties so that they can advertise our products to you on our behalf
All information these cookies collect is aggregated and therefore anonymous. No personal inforation is shared to third parties. Any personal information collected while using our website could be used for direct marketing from HCA only

Marketing

These cookies allow us to advertise our products to you and allow us to pass this information on to our trusted third parties so that they can advertise our products to you on our behalf
All information these cookies collect is aggregated and therefore anonymous. No personal inforation is shared to third parties. Any personal information collected while using our website could be used for direct marketing from HCA only

Performance Cookies

These cookies allow us to know which pages are the most and least popular and see how visitors move around the site.  All information collect is annonomas unless you provide personal information to us.
If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.

Professor David Simon Holder

MA (Cantab), MA (Berkeley), PhD, F inst P, FRCP

Professor of Biophysics & Clinical Neurophysiology

Specialty
  • Clinical neurophysiology
Fixed Price Packages

About

  • Biography icon plus

    Professor Holder is a Professor of Biophysics and Clinical Neurophysiology and an Honorary Consultant in Clinical Neurophysiology at University College London & UCL Hospitals.

    He has had joint training in Clinical Medicine and Biophysics and as a younger doctor became interested in developing a new method which could image fast electrical activity in the brain. During a Masters degree at Berkeley, he came up with a practical possible way to realise this, the then new method of Electrical Impedance Tomography (EIT). With a MRC training and then Royal Society University Research Fellowship held at University College London, Professor Holder built up an interdisciplinary research group which has pioneered the application of EIT for imaging brain function. This is currently based in the department of Medical Physics. Current main activities are in developing EIT for use in imaging fast neural activity in the brain and to provide early imaging at the point of collection in acute stroke and so permit rapid use of clot-dissolving agents.

    He has been a Consultant in Clinical Neurophysiology at the Middlesex Hospital and UCH since 1997 where Ihe undertakes EEG reporting, nerve conduction studies and EMG (electromyography). He has an interest in the development of new methods for diagnosis, such as vibration studies for RSI (repetitive strain injury), ambulatory nerve conduction studies for functional nerve entrapments which cause pain on exercise, and using machine learning methods for automated analysis of the EEG.

  • Clinical interests icon plus

    Nerve conduction studies, EMG and EEG

Practice locations

NHS base

University College London Hospitals NHS

back to top