Multi-Gaussian fitting for Digital Volume Pulse using Weighted Least Squares method

Multi-Gaussian fitting for Digital Volume Pulse using Weighted Least Squares method

Analysis of Digital Volume Pulse (DVP) waveform is a low cost non-invasive method of obtaining vital information related to condition of cardiovascular system. In resent years, different Pulse Decomposition Analysis (PDA) methods have been applied to DVP waveform analysis and clinical meaningful par...

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Bibliographische Detailangaben
Hauptverfasser: Lisheng Xu, Shuting Feng, Yue Zhong, Cong Feng, Meng, M. Q.-H, Huaicheng Yan
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analytical models
Digital volume pulse
Estimation
Fitting
Least squares approximation
Multi-Gaussian model
Parameter estimation
Photoplethysmography
Pulse decomposition analysis
Reflection
Signal processing algorithms
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Zusammenfassung:Analysis of Digital Volume Pulse (DVP) waveform is a low cost non-invasive method of obtaining vital information related to condition of cardiovascular system. In resent years, different Pulse Decomposition Analysis (PDA) methods have been applied to DVP waveform analysis and clinical meaningful parameters have been obtained. All these methods decomposed single-cycle DVP into a fixed number (such as 2, 4 or 5) of individual pulses. In this paper, a Multi-Gaussian (MG) model is proposed to approximate DVP waveform using a variable number (4 or 5 in our study) of Gaussian pulses with normalized root MSE
DOI:10.1109/ICINFA.2011.5949053