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In this chapter, we present a study on computational pulse diagnosis based on blood flow velocity signal. First, the blood flow velocity signal is collected using Doppler ultrasound device and preprocessed. Then, by locating the fiducial points, we extract the spatial features of blood flow velocity signal and further present a Hilbert-Huang transform-based method for spectrum feature extraction. Finally, support vector machine is applied for computation pulse diagnosis. Experiment results show that the proposed method is effective and promising in distinguishing healthy people from patients with cholecystitis or nephritis.
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- Spatial and Spectrum Feature Extraction
- Springer Singapore
- Chapter 8
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