Use this URL to cite or link to this record in EThOS:
Title: Real-time estimation of temporal gait parameters in lower limb amputees using inertial sensors
Author: Maqbool, Hafiz Farhan
ISNI:       0000 0004 6351 7779
Awarding Body: University of Leeds
Current Institution: University of Leeds
Date of Award: 2017
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Thesis embargoed until 01 Jul 2023
Access from Institution:
Number of individuals undergoing lower limb amputation around the world is increasing every year due to vascular diseases or complications associated with conditions such as diabetes and trauma. Limb loss has a profound impact on individual’s physical, mental and vocational abilities, resulting in the degradation of amputees’ quality of life (QOL). Following an amputation, prescription of prosthetic devices serves as an important step in improving the amputees’ QOL. Restoring functional attributes of human gait is one of the key objectives of lower limb rehabilitation. A number of studies have been carried out to evaluate the use of wearable sensors, especially the Inertial Measurement Unit (IMU), placed at different body locations to identify gait events/phases. However, a survey of the literature indicated a lack of research in development of a real-time gait event/phase detection for lower limb amputees using a single IMU attached to the shank or the prosthetic pylon. This research presents the development and evaluation of a low-cost portable gait monitoring system which detects the temporal gait events, namely initial contact (IC), foot-flat start (FFS), heel-off (HO) and toe-off TO in real-time while performing level ground and ramp activities. Foot-switches (FSW) placed underneath the foot were used as a reference system. Evaluation of the time difference recorded between the IMU and the FSW confirmed good accuracy and precision of the proposed system. Overall results showed 100% detection of IC, FFS and TO and 98.3% detection of HO in both groups (control and amputee) across all the activities. Finally, to demonstrate its practicality, the proposed system was used to evaluate and analyse the gait asymmetry for overground and treadmill walking. Detecting the temporal gait events/phases provide useful information about clinical parameters such as stance time, swing time, gait cycle duration and gait asymmetry. The proposed system could be used as a monitoring tool to assess the progress through rehabilitation, or in the development of control systems for lower limb amputees and patients with abnormal and pathological gait.
Supervisor: Dehghani-Sanij, Abbas Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available