Data fusion of multimodal cardiovascular signals for clinical diagnosis

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
Description
Summary: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).

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