Objective To develop a real-time QRS complex detection algorithm of dynamic ECG signals for the GPRS mobile telemonitoring system. Methods Before the first and second derivatives of ambulatory ECG signals were processed by moving average method, the signals sampled from CM5 monitoring lead were filtered with the average of continuous four ECG sample signal points. The R waves could be detected precisely by local minima of second derivatives and Q & S waves were located correctly by cross-zero points of first derivatives of ambulatory ECG signals in a short-time searching windows. The QRS recognition thresholds, which could revise themselves according to the detected values and vary with the analyzing signals, were designed in this paper. Results With a polynomial computation complexity, the novel algorithm insensitive to baseline draft and noise caused by mobile communication filtered power-line interference and most of muscle noise and reduced the search time below 0.02 s during detecting each Q wave, R wave and S wave. For the normal and clinical patients, this algorithm correctly detected up to 99.8% of the QRS complex of ambulatory ECG signals. Conclusion The algorithm can meet the need of real-time QRS complex detection and analysis for the GRRS mobile ECG telemonitoring system.

Objective To investigate the mechanisms involved in cucurmosin-induced apoptosis of pancreatic cancer cell SW1990.Methods The expression of EGFR,PI3K,Akt,Bad,Caspase -9,mTOR,P70S6K-α,and 4E BP1 at the protein level were detected by western blot analysis,and RTPCR was used to determine EGFR mRNA expression.Results An increased concentration of cucurmosin showed a subsequent decrease in the expression of EGFR,PI3K,Akt,mTOR,P70S6Kα,and 4E -BP1,whereasthe expression of Bad and Caspase-9 were elevated.However,the mRNA expression of EGFR was unchanged.Conclusion Cucurmosin is shown to induce the apoptosis of pancreatic cancer cell SW1990 by down regulating the expression of EGFR and thus inactivating the PI3K/Akt/mTOR signaling pathway.

Objective To explore the clinical significance of plasma vWF and platelet pa-rameters in patients with type 2 diabetes mellitus (T2DM)complicated with cerebral infraction. Methods A total of 32 patients with T2DM complicated with cerebral infraction from December 2011 to October 2013 and another 32 patients with single T2DM were selected as combination group and T2DM group,while another 30 healthy people served as control group.Glycated hemoglobin (HbA1c)level,von Willebrand factor (vWF)level and platelet parameters were detected in 3 groups to observe their differences and the relationship between HbA1c level and vWF level and platelet parameters were analyzed.Results HbA1c and vWF levels decreased gradually in combina-tion and T2DM groups than that in control group,and the differences were significant (P <0.01). There was no significant difference in platelet count (PLT)among 3 groups (P >0.05).However, platelet distribution width (PDW)and mean platelet volume (MPV)decreased evidently and gradu-ally in 3 groups (P <0.01).Additionally,HbA1c level was positive associated with vWF,PMV and PDW (P <0.01).Conclusion Level of vWF increases significantly in patients with T2DM complicated with cerebral infarction,whose detection combined with platelet parametes can provide references for the early diagnosis and treatment.

Objective To explore the clinical significance of plasma vWF and platelet pa-rameters in patients with type 2 diabetes mellitus (T2DM)complicated with cerebral infraction. Methods A total of 32 patients with T2DM complicated with cerebral infraction from December 2011 to October 2013 and another 32 patients with single T2DM were selected as combination group and T2DM group,while another 30 healthy people served as control group.Glycated hemoglobin (HbA1c)level,von Willebrand factor (vWF)level and platelet parameters were detected in 3 groups to observe their differences and the relationship between HbA1c level and vWF level and platelet parameters were analyzed.Results HbA1c and vWF levels decreased gradually in combina-tion and T2DM groups than that in control group,and the differences were significant (P <0.01). There was no significant difference in platelet count (PLT)among 3 groups (P >0.05).However, platelet distribution width (PDW)and mean platelet volume (MPV)decreased evidently and gradu-ally in 3 groups (P <0.01).Additionally,HbA1c level was positive associated with vWF,PMV and PDW (P <0.01).Conclusion Level of vWF increases significantly in patients with T2DM complicated with cerebral infarction,whose detection combined with platelet parametes can provide references for the early diagnosis and treatment.

This is a research carried out to explore a pragmatic way of BCI based imaging movement, i. e. to extract the feature of EEG for reflecting different thinking by searching suitable methods of signal extraction and recognition algorithm processing, to boost the recognition rate of communication for BCI system, and finally to establish a substantial theory and experimental support for BCI application. In this paper, different mental tasks for imaging left-right hands movement from 6 subjects were studied in three different time sections (hint keying at 2s, 1s and 0s after appearance of arrow). Then we used wavelet analysis and Feed-forward Back-propagation Neural Network (BP-NN) method for processing and analyzing the experimental data of off-line. Delay time delta t2, delta t1 and delta t0 for all subjects in the three different time sections were analyzed. There was significant difference between delta to and delta t2 or delta t1 (P<0.05), but no significant difference was noted between delta t2 and delta t1 (P>0.05). The average results of recognition rate were 65%, 86.67% and 72%, respectively. There were obviously different features for imaging left-right hands movement about 0.5-1s before actual movement; these features displayed significant difference. We got higher recognition rate of communication under the hint keying at about 1s after the appearance of arrow. These showed the feasibility of using the feature signals extracted from the project as the external control signals for BCI system, and demon strated that the project provided new ideas and methods for feature extraction and classification of mental tasks for BCI.
Algorithms ; Brain ; physiology ; Electroencephalography ; methods ; Evoked Potentials, Motor ; physiology ; Hand ; physiology ; Humans ; Movement ; physiology ; Neural Networks (Computer) ; Pattern Recognition, Physiological ; Signal Processing, Computer-Assisted ; Thinking ; physiology ; User-Computer Interface

Human calicivirus (HuCV) has been well known as an important pathogen of outbreak and sporadic acute nonbacterial gastroenteritis worldwide. To investigate epidemiological feature and genetic diversity of HuCV among children in China, fecal specimens were collected from children under 5 years of age with acute diarrhea at 13 hospitals in different provinces across China. The study was performed year-round from January 1999 to June 2005. Fecal specimens were tested for bacteria and rotavirus first and the negative specimens then were tested for HuCV using ELISA and RT-PCR. PCR amplicons were cloned and sequenced for strain characterization. A total of 4426 rotavirus- negative fecal samples were screened. From these, 840 (19%) were positive for HuCV by either or both ELISA (14%) and RT-PCR (9.6%). HuCV infection occurred year-round with an epidemic in each winter (October-January) and mainly in children at 6 -- 17 months of age. Of 151 HuCV strains characterized, 146 belong to norovirus (NV, 96.7%) and 5 were sapoviruses (SV). Among norovirus strains, genotype GG II/4 was most common (99/146), followed by GG II/3 (22/146), GG II/5 (8/146), and 2 strains of each of GG II/6, GG II/7, GG II/8, and GG I/2, the other 9 strains of NV GG II were unique, potentially belonging to new genotypes. These results plus the epidemiology data suggested that HuCVs are an important cause of severe diarrhea in Chinese children that were under reported due to a lack of a simple diagnostic assay. The finding of the potential new genotypes indicates that the current assays need to be improved for broader detection and besides, a continual surveillance for better understanding the epidemiology the disease burden and the searching for new strains of HuCVs is necessary.
Age Distribution ; Caliciviridae ; classification ; genetics ; isolation & purification ; Caliciviridae Infections ; epidemiology ; pathology ; virology ; Child, Preschool ; China ; epidemiology ; DNA-Directed RNA Polymerases ; genetics ; metabolism ; Diarrhea ; epidemiology ; virology ; Enzyme-Linked Immunosorbent Assay ; Feces ; virology ; Humans ; Infant ; Infant, Newborn ; Phylogeny ; Reverse Transcriptase Polymerase Chain Reaction ; Seasons ; Viral Proteins ; genetics ; metabolism

Objective To investigate the expression of C1q/TNF-related protein-1(CTRP1)in patients with acute ischemic stroke and its predictive value for the severity of neurological deficits. Methods A total of 452 patients with newly diagnosed ischemic stroke(IS)from February 2014 to February 2017 in our hospital were selected as the study subjects,and 403 healthy subjects were selected as control group in the physical examination center. The National Institutes of Health Stroke Scale(NIHSS)was used to evaluate the neurological status of pa-tients at admission and at 6 months after discharge. The expression of CTRP1 in plasma was detected by enzyme-linked immunosorbent assay(ELISA). Multiple linear regression was used to analyze the relationship between neu-rological deficit and CTRP1. Results The expression level the CTRP1in the healthy control group[(119.53 ± 17.62)ng/mL],unexplained causes IS[(145.81 ± 18.96)ng/mL],large atherosclerotic IS[(153.17 ± 19.21) ng/mL],cardiac IS[(156.56 ± 20.96)ng/mL]and small artery occlusion IS[(169.23 ± 22.34)ng/mL]in-creased gradually with statistically significant difference(P < 0.05). The level of CTRP1in the healthy control group[(119.53 ± 17.62)ng/mL],mild neurologic impairment group[(156.29 ± 19.86)ng/mL],moderate neuro-logic impairment group[(168.74 ± 18.53)ng/mL]and severe neurologic impairment group[(175.96 ± 19.15)ng/mL]increased gradually with statistically significant difference (P < 0.05). Multiple linear regression analysis showed that CTRP1,age,diabetes,Hs-CRP and LDL-C were independent factors of neurological deficits at 6 months after discharge in IS patients. Conclusion CTRP1 can effectively predict the severity of neurological defi-cits in patients with acute IS.