Gait pattern detection for amputated prosthetic using fuzzy algorithm

Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Amputated patient with prosthetic le...

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Main Author:	Abdullah, Ahmad Faisal
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	R856-857 Biomedical engineering Electronics Instrumentation
Online Access:	http://eprints.uthm.edu.my/1280/2/AHMAD%20FAISAL%20BIN%20ABDULLAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1280/1/24p%20AHMAD%20FAISAL%20BIN%20ABDULLAH.pdf http://eprints.uthm.edu.my/1280/3/AHMAD%20FAISAL%20BIN%20ABDULLAH%20WATERMARK.pdf
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spelling	my-uthm-ep.12802021-09-30T07:04:14Z Gait pattern detection for amputated prosthetic using fuzzy algorithm 2015-01 Abdullah, Ahmad Faisal R856-857 Biomedical engineering. Electronics. Instrumentation Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Amputated patient with prosthetic leg suffered with gait deviation due to variety causes commonly alignment and fitting problem. Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. The work included in this project focuses on developing a system to measure the angular displacement of human joint of lower part with patients having this problem and then applying gait phase detection using intelligent algorithm. The developed prototype has three inertial measurement units (IMU) sensor to measure and quantify body gait on thigh, shank and foot. The data from specific placement sensor on body part was evaluated and process in Arduino and MATLAB via serial communication. IMU provides the orientation of two axes and from this, it determined elevated position of each joint by using well established trigonometry technique in board to generate displacement angle during walking. The data acquired from the motion tests was displayed graphically through GUI MATLAB. A fuzzy inference system (FIS) was implementing to improve precision of the detection of gait phase from obtained gait trajectories. The prototype and FIS system showed satisfactory performance and has potential to emerge as a tool in diagnosing and predicting the pace of the disease and a possible feedback system for rehabilitation of prosthetic patients. 2015-01 Thesis http://eprints.uthm.edu.my/1280/ http://eprints.uthm.edu.my/1280/2/AHMAD%20FAISAL%20BIN%20ABDULLAH%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1280/1/24p%20AHMAD%20FAISAL%20BIN%20ABDULLAH.pdf text en public http://eprints.uthm.edu.my/1280/3/AHMAD%20FAISAL%20BIN%20ABDULLAH%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	R856-857 Biomedical engineering Electronics Instrumentation
spellingShingle	R856-857 Biomedical engineering Electronics Instrumentation Abdullah, Ahmad Faisal Gait pattern detection for amputated prosthetic using fuzzy algorithm
description	Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Amputated patient with prosthetic leg suffered with gait deviation due to variety causes commonly alignment and fitting problem. Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. The work included in this project focuses on developing a system to measure the angular displacement of human joint of lower part with patients having this problem and then applying gait phase detection using intelligent algorithm. The developed prototype has three inertial measurement units (IMU) sensor to measure and quantify body gait on thigh, shank and foot. The data from specific placement sensor on body part was evaluated and process in Arduino and MATLAB via serial communication. IMU provides the orientation of two axes and from this, it determined elevated position of each joint by using well established trigonometry technique in board to generate displacement angle during walking. The data acquired from the motion tests was displayed graphically through GUI MATLAB. A fuzzy inference system (FIS) was implementing to improve precision of the detection of gait phase from obtained gait trajectories. The prototype and FIS system showed satisfactory performance and has potential to emerge as a tool in diagnosing and predicting the pace of the disease and a possible feedback system for rehabilitation of prosthetic patients.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Abdullah, Ahmad Faisal
author_facet	Abdullah, Ahmad Faisal
author_sort	Abdullah, Ahmad Faisal
title	Gait pattern detection for amputated prosthetic using fuzzy algorithm
title_short	Gait pattern detection for amputated prosthetic using fuzzy algorithm
title_full	Gait pattern detection for amputated prosthetic using fuzzy algorithm
title_fullStr	Gait pattern detection for amputated prosthetic using fuzzy algorithm
title_full_unstemmed	Gait pattern detection for amputated prosthetic using fuzzy algorithm
title_sort	gait pattern detection for amputated prosthetic using fuzzy algorithm
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronic Engineering
publishDate	2015
url	http://eprints.uthm.edu.my/1280/2/AHMAD%20FAISAL%20BIN%20ABDULLAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1280/1/24p%20AHMAD%20FAISAL%20BIN%20ABDULLAH.pdf http://eprints.uthm.edu.my/1280/3/AHMAD%20FAISAL%20BIN%20ABDULLAH%20WATERMARK.pdf
_version_	1747830762617438208

Gait pattern detection for amputated prosthetic using fuzzy algorithm

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