Y.-J. Zeng’s research while affiliated with Beijing University of Technology and other places

In this paper, a 3-channel wavelet transform method is introduced to recover palm print images following serious deformation. The deformation processing is actually a kind of digital re-sampling. A filter bank consisting of three filters is implemented for wavelet decomposition of the palm print image, and then a procedure of binary interpolation is performed after the image is reconstructed by another filter bank consisting of another three filters. The design of multi-channel wavelet filter bank is based on the Quadrature Mirror Filter (QMF) method. Because the noise is caused by the Morie stripe, the images are further de-noised after the geometry deformation is addressed. Acceptable results have been obtained.

In order to achieve simply and effectively the ideal edge of a medical image and thus perform an effective medical diagnose, a fast edge detection method based on the combination of fuzzy subsets is developed. We partition an image into two portions: the edge portion and the non-edge portion. Non-edge portion, consisting of the objects and its background, is removed from an image; the remainder is image's edge. Considering the fuzziness of image's edge, some fuzzy operations can be carried out. We firstly partition the gray-level histogram into several sub-regions and operate corresponding fuzzy subsets. Finally, image's edge is obtained. Experiment results show as compared with Sobel operator or Prewitt operator, that the described method is more excellent.

The local static tension of soft tissue with neck pain and controlled group without neck pain were measured quantitatively. The accuracy, reliability and clinical benefit of diagnosing neck pain through biomechanical measurement of tension were evaluated and compared with current diagnosis methods. The aim is to provide the quantitative biomechanical indexes for diagnosis of neck pain.

Despite constant improvement in prediction accuracy, gene-finding programs are still unable to provide automatic gene discovery with the desired correctness. This paper presents an analysis of gene and intergenic sequences from the point of view of language analysis, where gene and intergenic regions are regarded as two different subjects written in the four-letter alphabet {A,C,G,T}, and high frequency simple sequences are taken as keywords. A measurement alpha(l(tau)) was introduced to describe the relative repeat ratio of simple sequences. Threshold values were found for keyword selections. After eliminating 'noise', 178 short sequences were selected as keywords. DNA sequences are mapped to 178-dimensional Euclidean space, and SVM was used for prediction of gene regions. We showed by cross-validation that the program we developed could predict 93% of gene sequences with 7% false positives. When tested on a long genomic multi-gene sequence, our method improved nucleotide level specificity by 21%, and over 60% of predicted genes corresponded to actual genes.

This paper presented an application of adaptive noise cancellation with adaptive network-based fuzzy inference system (ANFIS) for single trail estimation of visual evoked potentials (VEPs). A series of computer experiments were conducted on simulated and real-test responses have confirmed the superiority of the method developed in this paper. Another advantage of ANFIS lies in that it can track the dynamic behavior of VEP in a real-time fashion because the VEP variation tracking is important for critical patient monitoring in the clinical situation.

A simple and effective approach to detect QRS-T complexes from ECG (electrocardiogram) basd on histogram was developed so as to gain the P wave of a person when one is in sinus arrhythmia or to gain the f wave whenever the AF (atrial fibrillation) occurred. The signal processing and analysis on the P wave and the f wave were carried out by means of the fractal dimension method. The box dimension of the P wave and the f wave were calculated, and the evident differences between the related information (when AF appeared or did not appear) were compared.

A mathematical simulation pathway for the generation of thrombin has been developed with various assumptions made of kinetic rate laws and their summation for reactions involving the activation of factors VIII, IX, X and V and protein C in the formation of thrombin. The object of the computational modelling study is to stimulate the activation and inhibition of blood coagulation. The level of complexity and assumed parameters makes conclusions uncertain. However, an interesting outcome is that kinetic rates may show oscillation behavior under particular high levels of protein C feedback inhibition. The model, which permits the assessment of the reaction over a broad range of conditions, would defy quantitative practical use, but could have predictive value as a qualitative descriptor of coagulation.

In this paper, a frequency analysis for the microcirculation model is introduced to find new microcirculation parameters in the frequency domain. By using Bode Plot of transfer function, we found two characteristic parameters of the model: damping ratio xi and break frequency omega(n). By analyzing the variation of xi and omega(n), it enables us to have better understanding of different states of microcirculation. At low damping, 0<xi<1, the state of microcirculation will be better and better along with the increasing of the omega(n). At over damping, xi> or =1, the state of microcirculation will be worse and worse along with the descending of the omega(n). The results of experiments on 120 subjects are consistent with the analytical results of the model.

The nonlinear pulsatile blood flow in S-shaped curved arteries was studied with finite element method. Numerical simulations for flows in two models of S-shaped curved arteries with different diameters and under the same boundary conditions were performed. The temporal and spatial distributions of hemodynamic variables during the cardiac cycle such as velocity field, secondary flow, pressure, and wall shear stresses in the arteries were analyzed. Results of numerical simulations showed that the secondary flow in the larger S-shaped curved artery is more complex than that in the smaller one; stronger eddy flow occurred in the inner bends of curved arteries; pressure and wall shear stresses changed violently in the curved arteries, especially in the larger model. These hemodynamic variables in curved arteries will cause important effects on the function of arterial endothelium in the region. For instance, they may lead to the proliferation of smooth muscle cells and the thickening of the intima, and cardiovascular diseases such as atherosclerosis may develop in such regions. Due to having the special blood flow characteristics in the S-shaped arteries, it is worthwhile to study flow in this kind of curved artery. The comprehensive theoretical foundation showed in the present study can be extended to approach problems of nonlinear pulsatile flow in curved arteries with more complex geometrical shape.