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Biomedical subjects

Hongbo Xie

Publications and source records attributed to Hongbo Xie.

4 recordsLinked to original sources

Multifractal analysis of ventricular fibrillation and ventricular tachycardia.

A study of ventricular fibrillation and ventricular tachycardia was undertaken using multifractal analysis. By applying the method of direct determination of the f(alpha) singularity spectrum, the value of the area of the VF and VT singularity spectrum was calculated. The comparison between the results showed that the value of the area of the VF singularity spectrum tended to be larger than that of the value of the area of the VT singularity spectrum. This makes the multifractal singularity spectrum a powerful criterion for discriminating between VF and VT.

Algorithms↗

Mean frequency derived via Hilbert-Huang transform with application to fatigue EMG signal analysis.

The mean frequency (MNF) of surface electromyography (EMG) signal is an important index of local muscle fatigue. The purpose of this study is to improve the mean frequency (MNF) estimation. Three methods to estimate the MNF of non-stationary EMG are compared. A novel approach based on Hilbert-Huang transform (HHT), which comprises the empirical mode decomposition (EMD) and Hilbert transform, is proposed to estimate the mean frequency of non-stationary signal. The performance of this method is compared with the two existing methods, i.e. autoregressive (AR) spectrum estimation and wavelet transform method. It is observed that our method shows low variability in terms of robustness to the length of the analysis window. The time-varying characteristic of the proposed approach also enables us to accommodate other non-stationary biomedical data analysis.

Adult↗

[Three-dimensional moston estimation of coronary artery from single-plane cineangiogram sequences].

This paper presents a method for estimating three-dimensional (3D) motion of coronary arteries from single-plane X-ray angiogram sequences on two views. Firstly, original images are preprocessed and two-dimensional (2D) vessel skeletons are extracted. 2D motion estimation is performed along the skeletons in two images. Then geometrical transformation matrix between views is obtained based on perspective projection model for X-ray angiography system, and 3D coordinate of spatial points are calculated. The 3D motion estimation and reconstruction algorithm is applied along the two image sequences to accomplish 3D reconstruction of vessel skeletons and motion vectors between consecutive time instants. Its effectiveness has been demonstrated on clinical single-plane coronary artery angiograms and potential errors are discussed.

Algorithms↗

[Surface electromyography signal classification using gray system theory].

A new method based on gray correlation was introduced to improve the identification rate in artificial limb. The electromyography (EMG) signal was first transformed into time-frequency domain by wavelet transform. Singular value decomposition (SVD) was then used to extract feature vector from the wavelet coefficient for pattern recognition. The decision was made according to the maximum gray correlation coefficient. Compared with neural network recognition, this robust method has an almost equivalent recognition rate but much lower computation costs and less training samples.

Electromyography↗