Objective To investigate the protein and mRNA expressions of Toll-like receptor 2 (TLR2) and Toll-like receptor 4 (TLR4) on colons of rats with trinitrobenzene sulfonic acid (TNBS)- induced colitis,and to evaluate the effects of probiotics.Methods Thirty male Wistar rats were randomly divided into normal control group (NC group),model control group(UC group) and probiotics-treated group(PC group).The experimental colitis was induced by TNBS/ethanol enema.Rats in PC group were fed with Bifico [live probiotics of combined hifidobacterium(Bif),lactobaeillus(Lac) and enteroeoccus] by 2.2?10~9 CFU/d for 4 weeks.Inflammatory scores were studied.Expressions of protein and mRNA of TLR2 and TLR4 were measured by Western blot and real-time quantitative polymerase chain reaction (PCR),respectively.Results Inflammatory scores in NC group,UC group and PC group were 4.35?0.88,10.25?1.36 and 7.94?0.85,respectively.The inflammatory scores in PC group were decreased compared with that in UC group (P

The paper describes how to develop a digital heart sound signal detection device based on high gain MEMS MIC that can accurately collect and store human heart sounds. According to the method of collecting heart sound signal by traditional stethoscope, the system improves the traditional stethoscope, and a composite probe equipped with a MEMS microphone sensor is designed. The MEMS microphone sensor converts the sound pressure signal into a voltage signal, and then amplifies, converts with Sigma Delta, extracts and filters the collected signal. After the heart sound signal is uploaded to the PC, the Empirical Mode Decomposition (EMD) is carried out to reconstruct the signal, and then the Independent Component Analysis (ICA) method is used for blind source separation and finally the heart rate is calculated by autocorrelation analysis. At the end of the paper, a preliminary comparative analysis of the performance of the system was carried out, and the accuracy of the heart sound signal was verified.
Heart ; Heart Sounds ; Humans ; Micro-Electrical-Mechanical Systems ; Signal Processing, Computer-Assisted ; Stethoscopes