Data fusion of multi-modal cardivascular signals for clinical diagnosis

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
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Institution: Nanyang Technological University
Description
Summary: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.

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