ABSTRACT
In modern society, metabolic syndrome (MS) occurs in a state in which many diseases gather in the human body and can directly lead to cardiovascular diseases and even to death. MS generates slowly, and the early intervention, the basis of which is the evaluation of MS, can effectively alleviate the diseases. This paper presents an MS fuzzy comprehensive evaluation method based on principal component analysis (PCA). The method firstly deals with the historical data that impact the indexes of MS to obtain the weight of each index by using PCA. Then it evaluates each index to get the human health score by using fuzzy comprehensive evaluation method, and therefore it provides objective basis for the early effective intervention. Finally we verified the feasibility and effectiveness of the method using demonstration and simulation.
Subject(s)
Humans , Algorithms , Fuzzy Logic , Metabolic Syndrome , Diagnosis , Principal Component Analysis , MethodsABSTRACT
To treat the problem of identification performance and the complexity of the algorithm, we proposed a piecewise linear representation and dynamic time warping (PLR-DTW) method for ECG biometric identification. Firstly we detected R peaks to get the heartbeats after denoising preprocessing. Then we used the PLR method to keep important information of an ECG signal segment while reducing the data dimension at the same time. The improved DTW method was used for similarity measurements between the test data and the templates. The performance evaluation was carried out on the two ECG databases: PTB and MIT-BIH. The analystic results showed that compared to the discrete wavelet transform method, the proposed PLR-DTW method achieved a higher accuracy rate which is nearly 8% of rising, and saved about 30% operation time, and this demonstrated that the proposed method could provide a better performance.
Subject(s)
Humans , Algorithms , Biometric Identification , Methods , Electrocardiography , Methods , Patient Identification Systems , Pattern Recognition, PhysiologicalABSTRACT
How to detect the P300 component in EEG accurately and instantly is a hot problem in the research field of Brain-Computer Interface. In this paper, an algorithm based on F-score feature selection and support vector machines was introduced for P300 detection. Using F-score feature selection method, we reduced input features to overcome the shortcoming of support vector machines in terms of low detection speed, and then implemented the detection of P300 component with support vector machines, which have good classification performance. The algorithm was tested with a P300 dataset from the BCI competition 2003. The results showed that the algorithm achieved an accuracy of 100% in P300 detection within five repetitions, and the detection speed of this algorithm was 2 times higher than that of the traditional support vector machines algorithm without F-score feature selection.
Subject(s)
Humans , Algorithms , Electroencephalography , Methods , Event-Related Potentials, P300 , Physiology , Pattern Recognition, Automated , Methods , Principal Component Analysis , Signal Processing, Computer-AssistedABSTRACT
AIM: To observe and compare the improvement of glomerul- osclerosis in rats with 5/6 nephrectomy by valsartan and benazepril. METHODS: Thirty Sprague-Dawley male rats were selected and performed five-sixths nephrectomy to produce chronic renal failure model. Two weeks after the surgery, the rats were randomly divided into model group, valsartan group and benazepril group, and established a shame group serving as normal control. The weight, blood pressure, blood uria nitrogen (BUN) and serum creatinine were measured on the sixth week after operation, then the rats were killed to take the kidneys for pathological histological observation. Immunohistochemistry was used to examine the expression of TGF-? 1 protein and fibronectin (FN) and collagen IV in glomeruli. RESULTS: As compared with model group, systolic pressure decreased (P
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Aim To observe the protective effect of valsartan,benazepril and combination valsartan withbenazepril on cardiac damage in rats with chronic renal failure and explore the mechanism.Methods Forty Sprague Dawley male rats were selected,and were performed five-sixths nephrectomy to produce chronic renal failure model.Two weeks after the surgery,the rats were divided randomly into model group,valsartan group,benazepril group and both valsartan and benazepril group,and a sham group was established as control group.Systolic blood pressure,BUN and serum creatinine was measured at 10 week after operation,then all rats were killed to take the hearts for pathological histological observation.The transcription of endothelin-1(ET-1 )mRNA and nitricoxide synthase (eNOS-3) mRNA in myocardium was examined by hybridization in situ.Results Systolic pressure,heart weight,heart weight index,left ventricular weight mass(LVWM) and left ventricular weight mass index(LVWMI) in model group increased significantly at 10 week after operation. Systolic pressure,heart weight,heart weight index,LVWM and LVWMI decreased markedly in rats with five-sixths nephrectomy by valsartan and/or benazepril (P
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AIM: To observe the therapeutic effect of valsartan on cardiac hypertrophy and expression of endothelin-1(ET-1) in myocardium of rats with chronic renal failure and explore the mechanism.METHODS: 24 Sprague Dawley male rats were selected,and performed five-sixths nephrectomy to produce chronic renal failure model.Two weeks after the surgery,the rats were randomly divided into model group,valsartan group,and a sham group was established serving as control group.Systolic blood pressure,BUN and serum creatinine were measured at ten weeks after operation,then the rats were sacrificed to take the hearts for pathological histological examination.Hybridization in situ was used to examine the transcription of ET-1 mRNA in myocardium.RESULTS: Systolic pressure,heart weight,heart weight index,left ventricular weight mass(LVM) and left ventricular weight mass index(LVMI) in model group increased significantly tenth week after operation.Systolic pressure,heart weight,heart weight index,LVM and LVMI were decreased markedly in rats with five-sixths nephrectomy by valsartan(P
ABSTRACT
The renin-angiotensin system plays an important role in the pathogenesis and chronic progress of renal diseases. The increased plasma level of angiotensin can induce the changes of haemodynamics and diverse cytokines secreted by the kidney, and the change promotes the renal injury. How to block renin-angiotensin system has been a focus of nephrology. Recently, with the emerging of angiotensin receptor antagonist, the relationship between the angiotensin receptor antagonist and renal diseases has being realized.
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AIM:To investigate the effects of angiotensin Ⅱ(AngⅡ)blockers on TNF-? and the relationship between TNF-? and proteinuria in patients with chronic glomerulonephritis(CGN).METHODS:32 patients examined by biopsy as primary CGN with proteinuria were treated by benazepril,valsartan or combination with benazepril and valsartan for 8 to 12 weeks respectively.The TNF-? levels in serum and urine,24 hours proteinuria quantity,and serum creatinine level were assayed and recorded respectively before and after 8 to 12 weeks therapy.RESULTS:The TNF-? levels in serum and urine and 24 hours proteinuria quantity were reduced significantly after therapy [(7.8?3.9)vs(5.0?1.6)fmol/mL,(11.9?6.8)vs(8.3?3.5)fmol/mL,(2.6?2.0)vs(1.0?0.5)g,respectively;P