Applications of the electric potential sensor for healthcare and assistive technologies

Steinhausen, Natasha (2014) Applications of the electric potential sensor for healthcare and assistive technologies. Doctoral thesis (PhD), University of Sussex.

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Abstract

The work discussed in this thesis explores the possibility of employing the Electric
Potential Sensor for use in healthcare and assistive technology applications with the
same and in some cases better degrees of accuracy than those of conventional
technologies. The Electric Potential Sensor is a generic and versatile sensing
technology capable of working in both contact and non-contact (remote) modes. New
versions of the active sensor were developed for specific surface electrophysiological
signal measurements. The requirements in terms of frequency range, electrode size
and gain varied with the type of signal measured for each application. Real-time
applications based on electrooculography, electroretinography and electromyography
are discussed, as well as an application based on human movement.

A three sensor electrooculography eye tracking system was developed which is of
interest to eye controlled assistive technologies. The system described achieved an
accuracy at least as good as conventional wet gel electrodes for both horizontal and
vertical eye movements. Surface recording of the electroretinogram, used to monitor
eye health and diagnose degenerative diseases of the retina, was achieved and
correlated with both corneal fibre and wet gel surface electrodes. The main signal
components of electromyography lie in a higher bandwidth and surface signals of the
deltoid muscle were recorded over the course of rehabilitation of a subject with an
injured arm. Surface electromyography signals of the bicep were also recorded and
correlated with the joint dynamics of the elbow. A related non-contact application of
interest to assistive technologies was also developed. Hand movement within a
defined area was mapped and used to control a mouse cursor and a predictive text
interface.

Item Type: Thesis (Doctoral)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User: Library Cataloguing
Date Deposited: 11 Jun 2014 06:10
Last Modified: 18 Sep 2015 15:02
URI: http://sro.sussex.ac.uk/id/eprint/48596

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