Data fusion of multimodal cardiovascular signals for clinical diagnosis

The objective of this project is to apply data fusion technique to fuse multimodal cardiovascular, hemodynamic and respiratory signals for improved detection and diagnosis. The current project is divided into two parts. The first part is feature extraction from multimodal cardiovascular, hemodynamic...

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Bibliographic Details
Main Author:	Tan, Eng Khoon.
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/10356/3343
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3343
record_format	dspace
spelling	sg-ntu-dr.10356-33432023-07-04T15:52:58Z Data fusion of multimodal cardiovascular signals for clinical diagnosis Tan, Eng Khoon. Krishnan, Shankar Muthu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The objective of this project is to apply data fusion technique to fuse multimodal cardiovascular, hemodynamic and respiratory signals for improved detection and diagnosis. The current project is divided into two parts. The first part is feature extraction from multimodal cardiovascular, hemodynamic and respiratory signals. The second part is to diagnose the existence of an abnormal condition or a change in the physiological condition of the patient. The work is extended to include the ability to detect pathogenic conditions such as respiratory failure (RF), congenital heart disease (CHF) and myocardial ischemia (MI). Master of Science (Computer Control and Automation) 2008-09-17T09:27:54Z 2008-09-17T09:27:54Z 2003 2003 Thesis http://hdl.handle.net/10356/3343 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 Tan, Eng Khoon. Data fusion of multimodal cardiovascular signals for clinical diagnosis
description	The objective of this project is to apply data fusion technique to fuse multimodal cardiovascular, hemodynamic and respiratory signals for improved detection and diagnosis. The current project is divided into two parts. The first part is feature extraction from multimodal cardiovascular, hemodynamic and respiratory signals. The second part is to diagnose the existence of an abnormal condition or a change in the physiological condition of the patient. The work is extended to include the ability to detect pathogenic conditions such as respiratory failure (RF), congenital heart disease (CHF) and myocardial ischemia (MI).
author2	Krishnan, Shankar Muthu
author_facet	Krishnan, Shankar Muthu Tan, Eng Khoon.
format	Theses and Dissertations
author	Tan, Eng Khoon.
author_sort	Tan, Eng Khoon.
title	Data fusion of multimodal cardiovascular signals for clinical diagnosis
title_short	Data fusion of multimodal cardiovascular signals for clinical diagnosis
title_full	Data fusion of multimodal cardiovascular signals for clinical diagnosis
title_fullStr	Data fusion of multimodal cardiovascular signals for clinical diagnosis
title_full_unstemmed	Data fusion of multimodal cardiovascular signals for clinical diagnosis
title_sort	data fusion of multimodal cardiovascular signals for clinical diagnosis
publishDate	2008
url	http://hdl.handle.net/10356/3343
_version_	1772827561595764736

Data fusion of multimodal cardiovascular signals for clinical diagnosis

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