Data fusion of multi-modal cardivascular signals for clinical diagnosis

The objectives of the research are to apply advanced signal processing techniques to cardiovascular and respiratory system signals, to extract significant features and perform relevant analysis for obtaining meaningful information for clinical diagnosis. Sensor data fusion permits system to make the...

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Bibliographic Details
Main Author:	Wu, Fang Qian.
Other Authors:	Krishnan, Shankar Muthu
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:	http://hdl.handle.net/10356/3764
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3764
record_format	dspace
spelling	sg-ntu-dr.10356-37642023-07-04T15:17:08Z Data fusion of multi-modal cardivascular signals for clinical diagnosis Wu, Fang Qian. Krishnan, Shankar Muthu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The objectives of the research are to apply advanced signal processing techniques to cardiovascular and respiratory system signals, to extract significant features and perform relevant analysis for obtaining meaningful information for clinical diagnosis. Sensor data fusion permits system to make the best use of its resources. Master of Science (Computer Control and Automation) 2008-09-17T09:37:02Z 2008-09-17T09:37:02Z 2002 2002 Thesis http://hdl.handle.net/10356/3764 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Wu, Fang Qian. Data fusion of multi-modal cardivascular signals for clinical diagnosis
description	The objectives of the research are to apply advanced signal processing techniques to cardiovascular and respiratory system signals, to extract significant features and perform relevant analysis for obtaining meaningful information for clinical diagnosis. Sensor data fusion permits system to make the best use of its resources.
author2	Krishnan, Shankar Muthu
author_facet	Krishnan, Shankar Muthu Wu, Fang Qian.
format	Theses and Dissertations
author	Wu, Fang Qian.
author_sort	Wu, Fang Qian.
title	Data fusion of multi-modal cardivascular signals for clinical diagnosis
title_short	Data fusion of multi-modal cardivascular signals for clinical diagnosis
title_full	Data fusion of multi-modal cardivascular signals for clinical diagnosis
title_fullStr	Data fusion of multi-modal cardivascular signals for clinical diagnosis
title_full_unstemmed	Data fusion of multi-modal cardivascular signals for clinical diagnosis
title_sort	data fusion of multi-modal cardivascular signals for clinical diagnosis
publishDate	2008
url	http://hdl.handle.net/10356/3764
_version_	1772829046823976960

Data fusion of multi-modal cardivascular signals for clinical diagnosis

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