Objective To investigate the levels of sICAM 1 and sE selectin in patients with chronic hepatitis(CHC) and to study their roles in judge of response to IFN ? 2b treatment. Methods sICAM 1 and sE selectin levels were measured in 32 cases of CHC before and after treatment of IFN ? 2b by enzyme linked immunosorbent assay(ELISA), levels of HCV RNA was detected by quantitative PCR and serum ALT activity was also detected. Results Levels of sICAM 1 and sE selectin in CHC patients were significantly higher than those in normal controls(P

To solve the ineffective problem of leukocytes classification based on multi-feature fusion in a single color space, we proposed an automatic leukocyte pattern recognition by means of feature fusion with color histogram and texture granular in multi-color space. The interactive performance of three color spaces (RGB, HSV and Lab), two features (color histogram and texture granular) and four similarity measured distance metrics (normalized intersection, Euclidean distance, chi2-metric distance and Mahalanobis distance) were discussed. The optimized classification modes of high precision, extensive universality and low cost to different leukocyte types were obtained respectively, and then the recognition system of tree-integration of the optimized modes was established. The experimental results proved that the performance of the fusion classification was improved by 12.3% at least.
Algorithms ; Clinical Laboratory Techniques ; Color ; Humans ; Image Enhancement ; methods ; Image Interpretation, Computer-Assisted ; methods ; Leukocyte Count ; methods ; Leukocytes ; classification ; cytology ; Pattern Recognition, Automated ; methods

With the development of economy, the incidence of diabetes is keeping on rising. It has been a larger chief offender endangering human health. Glucose monitoring in time, accurately and continuously can provide the basis for the adjustment of diet, exercise and drug treatment project, and can control disease at the level of satisfaction degree. Noninvasive measurement of glucose avoids blood collection with high frequency, alleviates pain caused by blood sampling, and prevents infection. It comes with hope for the diabetic. In this article, we compare the kinds of techniques, introduce the theory, the problems of polarization rotation, the solving methods and the advantages, thus providing references for the noninvasive measurement of glucose.
Blood Glucose ; analysis ; Blood Glucose Self-Monitoring ; methods ; trends ; Diabetes Mellitus ; blood ; Humans ; Optical Rotation

To solve the problem of cardiac arrhythmias classification, we proposed a novel algorithm based on the multi-feature fusion and support vector machines (SVM). Kernel independent component analysis (KICA) was used to extract nonlinear features and wavelet transform (WT) was used to extract time-frequency features. Combining these features could include more information about the disease. We designed the classification model based on SVM combined with error correcting output codes (ECOC). Receiver operating characteristic curve (ROC) and Area Under the ROC curve (AUC) value were used to assess the classification model. The value of AUC is 0.956 against MIT-BIH arrhythmia database. Experimental results showed effectiveness of the proposed method.
Algorithms ; Area Under Curve ; Arrhythmias, Cardiac ; classification ; diagnosis ; Electrocardiography ; methods ; Humans ; Principal Component Analysis ; ROC Curve ; Signal Processing, Computer-Assisted ; Support Vector Machine

The vector space transformations such as principal component analysis (PCA), linear discriminant analysis (LDA), independent component analysis (ICA) or the kernel-based methods may be applied on the extracted feature from the field, which could improve the classification performance. A barycentre graphical feature extraction method of the star plot was proposed in the present study based on the graphical representation of multi-dimensional data. The feature order question of the graphical representation methods affecting the star plot was investigated and the feature order method was proposed based on the improved genetic algorithm (GA). For some biomedical datasets, such as breast cancer and diabetes, the obtained classification error of barycentre graphical feature of star plot in the GA based optimal feature order is very promising compared to the previously reported classification methods, and is superior to that of traditional feature extraction method.
Algorithms ; Artificial Intelligence ; Biomedical Research ; Computer Graphics ; Data Collection ; Discriminant Analysis ; Linear Models ; Pattern Recognition, Automated ; methods ; Principal Component Analysis

Objective To study the clinical application of finger reconstruction by transplantation of two second toes and evaluate the postoperative appearance and function regarding the reconstructed hand and donor feet. Methods Defect of fingers were treated by transplantation and reconstruction with a total of 74 cases,including two second toes transplantation for both thumbs in 2 cases,thumb with index finger in 10 cas es, index finger with middle finger in 8 cases and middle finger with ring finger in 17 cases. Results Sevetythree fingers survived except 1 failed. During the follow up examination made from 3 to 36 months, the reconstructed fingers could move, write and dress with ease, pinch forcefully, show good recovery of manual work and the sensation of pain and warmth. Two-point discrimination found to be between 5 to 10 mm. Both donor feet have symmetrical appearance with normal gait and satisfactory motion. Also, no pain was complained.Conclusion Transplantation of two second toes from both feet is a good method to reconstruct defect of multiple fingers, and has little effect on the appearance and motion of feet.

Aim To construct eukaryotic expressing plasmid of hi FGF2 ( high molecular weight isoform fi-broblast growth factor-2,hi FGF2) gene and to investi-gate its effect on apoptosis after its overexpression in HEK293 cells. Methods The DNA template primer was designed and synthesized. The pDsRed1-N1 plas-mids were digested by the restriction enzymes of Nhel and Hind III. The hi FGF2 was ligated with linearized pDsRed1-N1 by T4 DNA Ligase. The recombinant plasmid was identified by endonuclease digestion and sequenced. The recombinant hi FGF2 plasmid was transient transfected into HEK293 cells by Lipofectami-neTM 2000 Reagent. The transfection efficiency was de-tected by fluorescence inversion microscope. The cell apoptosis was detected by Annexin V-FITC/PI apopto-sis detection kit with flow cytometry analysis. Results The pDsRed1-N1 eukaryotic expression vector was consistent with the design. The recombinant hi FGF2 plasmid was transfected in HEK293 cells. The trans-fection rate was more than 70%. The FITC/PI dyeing rate in hi-FGF2 over-expression HEK297 cells was a-bout ( 29. 12 ± 2. 81 )%. Conclusions pDsRed1-N1 eukaryotic expression vector is successfully constructed and transfected into HEK293 cells. Over-expression of hi FGF2 induces cell apoptosis.

The research on anti-aging technology is always a foreland in the field of researches into human health. Based on a review of the researches for anti-aging, this paper described all kinds of theory of aging and laid the emphasis on the status quo of researches on the use of Traditional Chinese Medicine(TCM) moxibustion for anti-aging, including the research on the theory of the moxibustion in anti-aging, the research on selecting acupoints of moxibustion for anti-aging, and the clinical application of moxibustion in anti-aging in detail. The significance of herbalist theory in anti-aging and the wider development foreground were high-lighted.
Acupuncture Points ; Aging ; Humans ; Moxibustion

Electrical defibrillation is the most effective way to treat the ventricular tachycardia (VT) and ventricular fibrillation (VF). An automatic external defibrillator based on DSP is introduced in this paper. The whole design consists of the signal collection module, the microprocessor controlingl module, the display module, the defibrillation module and the automatic recognition algorithm for VF and non VF, etc. This automatic external defibrillator has achieved goals such as ECG signal real-time acquisition, ECG wave synchronous display, data delivering to U disk and automatic defibrillate when shockable rhythm appears, etc.
Algorithms ; Defibrillators ; Equipment Design ; Humans ; Tachycardia, Ventricular ; therapy ; Ventricular Fibrillation ; therapy

Epilepsy is a common chronic neurological disease, which is caused by excessive brain neuron discharge. The epileptic seizure has the characteristic of abruptness and reiteration. Prediction of seizures has great significance for patients to take timely and effective clinical measures. The symbolic dynamics method was introduced to analyze absence epilepsy EEG. The key parameters affecting the symbolic statistical quantities were discussed. The symbolic entropy and time irreversebility were calculated in different epilepsy stages. It was found that the symbolic entropy and the time irreversebility were rather big in interictal stage. The two parameters declined significantly during the transformation process from interictal stage to ictal stage and maintained lower value during ictal stage. The results showed that the symbolic dynamics method could reflect the changes of epilepsy EEG. The symbolic entropy and time irreversebility are sensitive features indicating different stages of seizures and have potential important clinical applications.
Algorithms ; Animals ; Brain ; physiopathology ; Electroencephalography ; Epilepsy ; physiopathology ; Male ; Rats ; Rats, Inbred Strains ; Signal Processing, Computer-Assisted