The University of Southampton
University of Southampton Institutional Repository

A sensor system to detect events in gait for the correction of abnormalities in neurological patients

Abdul Malik, Noreha (2010) A sensor system to detect events in gait for the correction of abnormalities in neurological patients University of Southampton, Faculty of Physical and Applied Sciences, Doctoral Thesis , 401pp.

Record type: Thesis (Doctoral)


Contraction of the hamstrings or gluteals muscles, using electrical stimulation, could improve the abnormal gait in neurological patients. The stimulation timing which follows the normal muscle activity is impractical to achieve using the traditional sensor (the footswitch). This study focuses on the development of a new sensor system for the detection of events in the gait cycle to trigger stimulation of hamstrings or gluteals muscles for preventing knee hyperextension into early stance or reducing the excessive hip flexion/adduction at heel strike. A sensor unit, consisting of four accelerometers,has been designed to determine the angles and linear accelerations of a segment without the need for integration. Tests have been carried out to verify the error of the sensor unit angle measurement by comparing it with the output from a potentiometer of a simple inverted pendulum. In five healthy subjects during walking, assessments have been carried out to compare the segment angle of the thigh, shank and foot calculated from the sensor unit, with the same angles measured using a motion capture system (ViconTM). The results show that the shank segment angles have a similar pattern. A sensor system to detect gait events has been developed. It consists of the sensor unit, a correlation coefficient calculation and a set of rules with thresholds. The system has detected reliably all heel strikes and a place in the gait cycle representing the tibia vertical position of five healthy subjects. Two sample windows selected from one set of the subject data have been used to detect all of the events. Using the same system, all tibial vertical events have been detected reliably compared to the footswitch in six neurological patients. In five patients, the same sample window, selected from the healthy subject, was used in the detection. For one patient, a sample window selected from the same patient data was used. Further work will be needed to implement the system in real time and evaluate it’s use with electrical stimulation as well as to establish the effect of stimulation in patients using the sensor unit as the trigger

PDF thesis_NOREHA2010_final.pdf - Other
Download (7MB)

More information

Published date: October 2010
Organisations: University of Southampton, EEE


Local EPrints ID: 196615
PURE UUID: 7f52da9d-496e-4cf7-ae7c-4357aefc0c94

Catalogue record

Date deposited: 09 Sep 2011 10:06
Last modified: 18 Jul 2017 11:22

Export record


Author: Noreha Abdul Malik
Thesis advisor: Paul Chappell

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.