Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network

The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture ana...

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Bibliographic Details
Main Author:	Lin, Eileen
Other Authors:	Soh Cheong Boon
Format:	Final Year Project
Language:	English
Published:	2019
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:	http://hdl.handle.net/10356/78122
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-78122
record_format	dspace
spelling	sg-ntu-dr.10356-781222023-07-07T17:37:41Z Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network Lin, Eileen Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture analysis system (current gold standard) and ultrasonic sensor (proposed system) to analyse the gait of the subject on the treadmill under different speed. For the Wearable Ultrasonic Sensors Network, Arduino will be used as the micro-controllers. For the Optical Motion Capture System Network, the Eagle camera and Cotex software will be used. The two set of data will be compared in the MATLAB for different temporal parameters of the gait such as the stance and swing time. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T06:01:55Z 2019-06-12T06:01:55Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78122 en Nanyang Technological University 49 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Lin, Eileen Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
description	The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture analysis system (current gold standard) and ultrasonic sensor (proposed system) to analyse the gait of the subject on the treadmill under different speed. For the Wearable Ultrasonic Sensors Network, Arduino will be used as the micro-controllers. For the Optical Motion Capture System Network, the Eagle camera and Cotex software will be used. The two set of data will be compared in the MATLAB for different temporal parameters of the gait such as the stance and swing time.
author2	Soh Cheong Boon
author_facet	Soh Cheong Boon Lin, Eileen
format	Final Year Project
author	Lin, Eileen
author_sort	Lin, Eileen
title	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_short	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_full	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_fullStr	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_full_unstemmed	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_sort	human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
publishDate	2019
url	http://hdl.handle.net/10356/78122
_version_	1772827513165185024

Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network

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