BACKGROUND:Bioimpedance method can be used to extract physiology and pathology information relative to the gastricmotility states,to investigate the courses of contraction,peristalsis,transmission and emptying of the stomach,to measure andevaluate gastric motility function.However,early studies mainly focused on the emptying of the stomach,and few studies onevaluation of gastric motility by extracting gastric motility information.OBJECTIVE:To understand the gastric motility from electricity-mechanism composite concept and to establish a noninvasive,convenience measurement method of gastric motility impedance.METHODS:Based on the characters of gastric motility impedance signal,a measurement method of impedance gastric motility isintroduced.Some foundation experiments about the gastric emptying measurement,the gastric motility compare between fastingand repast,the gastric motility comparison of healthy volunteers during different periods and some medicine effects on gastricmotility have carried out.The gastric motility measurement of the patients with functional dyspepsia and gastric motility evaluationfor the patients with erosive gastritis had been reported.RESULTS AND CONCLUSION:Using electrical bioimpedance method,according to the electrical property of the stomach tissueor the food in stomach and the change rules of the property,the physiology and pathology information relative to the gastricmotility states can be extracted,the courses of contraction,peristalsis,transmission and emptying of the stomach can beinvestigated and noninvasive measure and evaluation of gastric motility function can be realized.

Objective A surface feedback-stimulation gastric-pacing device was designed to extract gastric surface information,determine the status of gastric and surface stimulation.Methods The characteristic parameters of gastric electrical formed by processing signal and extracting parameter.By that,the state of stomach could be confirmed,and stimulus signal of stomach pace-making in different frequency and intensity could be decided as needed.During the processes of the stimulation,the variations of gastric electrical parameters can be analyzed in real-time and the stimulation parameters could be modified to achieve the self-feedback mode.Results Self-feedback model in different gastric motility analog environment could be realized.Conclusion The preliminary validation of experimental results proved the effectiveness of self-feedback of gastric pacing devices and its application prospects in some areas.

Objective To explore the changing rules of schistosomiasis infection and Oncomelania hupensis snail situation in areas where schistosomiasis transmission was controlled or interrupted or transmission rebounded after the interruption. Meth-ods Daye City,Wuxue City and Jingshan County were selected and investigated retrospectively to collect the schistosomiasis epidemiological information 10 years before they reached the criteria of transmission controlled and the subsequent years until 2008. The database of retrospective investigation was established for analyzing the trends and rules of the changes of snail status and human infection status. Results In Daye City,there was no snail areas and schistosomiasis patients and cattle after reach-ing the criteria of transmission interrupted in 1987. The infection rate of residents were positively correlative with the infection rate of cattle and snail areas(r=0.865,0.843,P<0.01). In Wuxue City,the proportion of snail areas occupying the historic snail areas kept a steady from the transmission controlled to transmission interrupted,but it began to rebound to the highest level in the history(8.93%)after the transmission interrupted for 3 years. In Jingshan County,the infection rates of residents and cat-tle were all stable from 1%to 2%after the transmission controlled. The proportion of snail areas occupying the historic snail ar-eas was rebounded from 1.63% in 1985 to 21.50% in 2008,and the densities of living snails rebounded from 2005. Conclu-sions The infected snails could be the sensitive indicator of the rebound of snail situation and human infection. The elimination of schistosomiasis still depends on the control of snail areas,including strengthening the infected snail control.

Objective To design a wireless transmission solution of multi-parameter vital signs signal which can be applied in psychological status assessment.Methods C8051F350 SOC was used to define data frame structure,on application level,including channel number,control words,data and so on,which put all nodes data into the upper computer cache area by channel in an orderly way.A transfer rate of five seconds on a grid,each grid at least 48 groups of data was chosen in buffer,which could not only match the dynamic PC image display,but also to achieve the stability of the channel signal acquisition and orderly transfer.Results After operating test,with the communication distance within 10～15 m,the dynamical display of the upper computer showed a smooth curve data,which met the system design requirement.After optimization of the data frame,the transmission power could be reduced to 1/12 of that of normal mode.The whole system with three advantages of small size,low power and easy to carry.Conclusion Multi-parameter wireless acquisition system described in this paper eliminates the data line connected to the subjects,which does not affect their normal activities and is conducive to the real response of subjects' mental state,and provides a reliable means of detection for psychological assessment.

Analyzing the digital characteristics (chaotic and spectral features) of fetal and pregnant woman's heart period signal (HPS) can assess the autonomic nervous system function. Extracting and analyzing HPS of fetal and pregnant woman in perinatal period were realized by using the method of visual programming. The subjects were in supine position. Electrocardiography-signal (ECS) from the leads placed at symphysis pubic bone to inferior border of abdominal wall was acquired. ECS was preprocessed by wavelet filter. The sophisticated technique developed by our laboratory was used to analyze the digital characteristics of HPS. The system could be used to assess fetal and pregnant woman's autonomic nervous system function, furthermore, sympathetic and parasympathetic nervous function could be evaluated respectively and quantificationally. The system also could be used to prognosticate fetal distress. The digital characteristics of fetal and other age groups' HPS, which vary with age, suggest the physiological process of development, mature and senility of autonomic nervous system; based on it, we could find the way of anti-senility. Some digital parameters of fetal HPS stand between those of newborn and adult, which may imply that fetal autonomic nervous regulation is influenced by mother's nerve and endocrine system.
Adult ; Autonomic Nervous System ; embryology ; physiology ; Electrocardiography ; Female ; Fetal Heart ; physiology ; Heart ; physiology ; Humans ; Parasympathetic Nervous System ; physiology ; Pregnancy ; Signal Processing, Computer-Assisted

In recent years, the pollution problem of particulate matter, especially PM2.5, is becoming more and more serious, which has attracted many people's attention from all over the world. In this paper, a Kalman prediction model combined with cubic spline interpolation is proposed, which is applied to predict the concentration of PM2.5 in the micro-regional environment of campus, and to realize interpolation simulation diagram of concentration of PM2.5 and simulate the spatial distribution of PM2.5. The experiment data are based on the environmental information monitoring system which has been set up by our laboratory. And the predicted and actual values of PM2.5 concentration data have been checked by the way of Wilcoxon signed-rank test. We find that the value of bilateral progressive significance probability was 0.527, which is much greater than the significant level = 0.05. The mean absolute error (MEA) of Kalman prediction model was 1.8 μg/m , the average relative error (MER) was 6%, and the correlation coefficient was 0.87. Thus, the Kalman prediction model has a better effect on the prediction of concentration of PM2.5 than those of the back propagation (BP) prediction and support vector machine (SVM) prediction. In addition, with the combination of Kalman prediction model and the spline interpolation method, the spatial distribution and local pollution characteristics of PM2.5 can be simulated.