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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Format: | Theses and Dissertations |
Published: |
2008
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Online Access: | http://hdl.handle.net/10356/3764 |
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Institution: | Nanyang Technological University |
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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