{"title":"Spontaneous oscillations of cerebral oxygenation signal and its correlation with transcranial Doppler hemodynamic parameters","authors":"Zengyong Li, Qing Xin, Jianping Li","doi":"10.1109/ISBB.2011.6107655","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107655","url":null,"abstract":"The objective of this study is to assess the correlation between the prefrontal cerebral oxygenation oscillations measured by near-infrared spectroscopy (NIRS) and cerebral artery hemodynamic parameters as measured by transcranial Doppler (TCD). The cerebral oxygenation signal was monitored for 10 minutes from the left prefrontal lobe using NIRS. TCD monitoring was performed to measure the hemodynamic parameters including end diastolic, peak systolic, and mean cerebral blood flow velocities. With spectral analysis based on wavelet transform of NIR signal, five frequency intervals were identified (I, 0.005–0.02 Hz, II, 0.02–0.06 Hz, III, 0.06–0.15 Hz, IV, 0.15–0.50 Hz and V, 0.50–2.0 Hz). Significant negative correlation was found between the cerebral [Hb] and [HbO2] oscillations in frequency intervals III (0.06–0.15 Hz), IV (0.15–0.5 Hz), V (0.5–2 Hz) and the mean velocity in left middle cerebral artery (MCA) (p<0.05). The results suggested that the cerebral oscillations measured from the frontal lobe were closely related to the vessel stiffness of MCA.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130549828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reform and characterization of concentric-circle electrode tip for neural stimulating or recording","authors":"Suyang Wang, Xiaoying Lu, Zhigong Wang, Cen-Yu Huang, Yue-Lin Chen","doi":"10.1109/ISBB.2011.6107631","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107631","url":null,"abstract":"The purpose of this paper is to obtain non-directional electrodes for neural stimulating or recording by reforming the wedge-shape tip of concentric circle electrodes which applied to electromyography (EMG) detection. The electrode tips were ground by sand paper. The electrodes before and after ground were characterized by photomicrography and Electrochemical Impedance Spectroscopy (EIS). Animal test was taken to test the electrical performance. The photomicrographs showed that the tip of the electrode before ground was wedge-shape while the exposed surface of the inner electrode tip after reformed was cone shape and almost evenly in all directions. The impedance-frequency curve and the phase-frequency curve obtained from EIS showed that the electrical performance of the reformed electrode was steadier than before. The impendence of the electrode before reformed was 38.5±7.2kΩ and that of reformed one was 20.8–53.3 kΩ at 1 kHz, and the standard deviation is only 1.5–4.1 kΩ. Animal test showed that the amplitude recorded by the electrode before reformed changed during rotated the electrode along its longitudinal axis a certain angle and the difference between maximum and minimum is 200 mV. While the amplitude recorded by the reformed electrode is much steadier, the difference between maximum and minimum is 60 mV.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An improved algorithm for noninvasive blood pressure measurement","authors":"Qun Wang, Yongping Wang, Zhe Mei, Zhiwen Liu","doi":"10.1109/ISBB.2011.6107640","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107640","url":null,"abstract":"Blood pressure is one of important physiological parameters which reflect the functional status of heart and vessels of human beings. General oscillometric method of noninvasive blood pressure measurement usually extracts oscillation amplitudes during the deflation, then uses the curve fitting technique to calculate blood pressure. In this paper, an improved algorithm is proposed which uses partially the information in the inflatable stage. According to the estimated pulse rate and mean pressure of subjects by preprocessing the data of the inflatable stage, the algorithm sets the occluded pressure that is slightly above the systolic pressure, adjusts number of pressure steps, and determines duration of the pressure steps respectively. Numerical experiments are performed to demonstrate the validity and high performance of the proposed algorithm for blood pressure simulator signals and subjects. The test results of human beings show that the algorithm is effective to achieve precise blood pressure measurement and reduce the subject discomfort within short measurement time.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125070861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jinpeng Geng, Tianguang Cao, Duo-Fang Li, Chunlei Hu, Yafei Chen, Hailong An, Y. Zhan
{"title":"Cellular S-value and energy distribution for electrons by Monte Carlo simulation","authors":"Jinpeng Geng, Tianguang Cao, Duo-Fang Li, Chunlei Hu, Yafei Chen, Hailong An, Y. Zhan","doi":"10.1109/ISBB.2011.6107692","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107692","url":null,"abstract":"S-value and the single-event specific energy distribution for electrons are important quantities of the microdosimetry for understanding biological effects of ionizing radiation, both of which have close relation to other quantities of the microdosimetry. In this paper, these quantities of electrons were calculated by different codes from cell surface to nucleus or the whole cell. The properties of the low-energy electrons, such as δ particle equilibrium and the energy-loss straggling, were applied to Monte Carlo simulation codes including MOCA15, TRAX and Geant4, and these codes tracked the electrons until their energy was lower than our cutoff energy. The results of S-value and the single-event specific energy distribution in cell were compared to the results of the Penelope and MIRD.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134620720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"C' deviation-a more obvious method for description of amino acid geometry","authors":"Tang Heyun, Hu Junfeng, Zhao Jie","doi":"10.1109/ISBB.2011.6107681","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107681","url":null,"abstract":"A new method for the description of amino acid geometry, C' deviation is proposed in this paper. Because of the three dimension coordinates of atoms are shown on the graph, this method is more obvious than conformation angles used before. The structural diversity could be evaluated by calculating the distance between two farthest points in the C' scatter plot. This method would be a valuable tool for the study on the structural diversity of the identical amino acids in peptide fragments.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130375881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanwei Guo, Wei-zhong Wang, Guan-Zheng Liu, Guo-ru Zhao, Bang-yu Huang, Z. Mei, Lei Wang
{"title":"Body inertial-sensing network platform for wearable 3D gesture analysis","authors":"Yanwei Guo, Wei-zhong Wang, Guan-Zheng Liu, Guo-ru Zhao, Bang-yu Huang, Z. Mei, Lei Wang","doi":"10.1109/ISBB.2011.6107696","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107696","url":null,"abstract":"Gesture analysis was widely used in many applications such as healthcare, robotics and human-computer interactions. This paper presented a low-cost body inertial-sensing network platform developed by us. The platform contains the base station, the BSN inertial measurement nodes and the wireless communication protocol. The sensing nodes contain one 3-axis accelerometer, one 3-axis magnetometer, and one 3-axis gyroscope. Wearable gesture analysis was achieved using this platform. Then Kalman filter was designed to get optimal gesture estimation from the BSN inertial measurement nodes. Preliminary results showed that the averaged estimating errors of the roll angle, the yaw angle and the pitch angle were 3.5°, 3.2°, 2.1°, respectively.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The preliminary study on microarray automatic spot identification method","authors":"Liu Guo-chuan, Lu Lin, Sun Fujun","doi":"10.1109/ISBB.2011.6107677","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107677","url":null,"abstract":"Spot identification is of great importance in the process of microarray information analysis. In this paper, Based on the features of microarray image recognized, an automatic spot identification method using the deformable template technique is proposed. A deformable template model is constructed based on spot array. The shift, rotation and zoom of the template are denoted by several parameters. Energy function is defined and genetic algorithm is employed to search the optimal solution of the energy function, which results the best template match. Experiment results show that the method can match spots efficiently and accurately.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132495407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust power line interference suppression for ECG signal based on H∞ filter","authors":"Guojun Li, Shu-ting. Zhang, Lan-Xiao Xiao-jie Hao, Xiaona Zhou","doi":"10.1109/ISBB.2011.6107666","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107666","url":null,"abstract":"The power line interference (PLI) reduction for ECG signals is a challenging task for its time-varying amplitude and time-varying frequency within the spectrum range of ECG signals. Most existing Least Squared-based methods such as Extended Kalman filter to estimate PLI from noisy ECG are vulnerable to the QRS pulses, especially for lower noisy-to-signal ratio ECG. This study proposes a robust tracking method based on H∞ filter to suppress the adverse effect of QRS pulses. The union filter of H∞ and Kalman is also demonstrated in this project. Experiments on ECG records from MIT-BIH arrhythmia database indicate that the H∞ filter and Kalman/H∞ mixed filter are more superior than the Extended Kalman filter in removing the PLI from ECG signal.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117340653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of ictal EEG with a neuronal population model","authors":"Zheneng-hua Ma, Weidong Zhou, Qi Yuan, Shujuan Geng","doi":"10.1109/ISBB.2011.6107656","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107656","url":null,"abstract":"In order to analyze the behavior of EEG and its neural physiological mechanism, a neuronal population model has been adopted to simulate ictal EEG signals, and the modeling performance has been analyzed in this work. A delay unit and a gain unit were added to Wendling model to fit EEG signals in time domain, and genetic algorithm was used to identify an optimal set including of five parameters to minimize the error between real EEG and simulated EEG. The results show that the model can produce an approximation of the real EEG signal well.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wendong Li, Yufan Zeng, Xuejun Zhang, Yu Huang, L. Long, H. Fujita
{"title":"Staging the hepatic fibrosis on CT images: Optimizing the slice thickness and texture features","authors":"Wendong Li, Yufan Zeng, Xuejun Zhang, Yu Huang, L. Long, H. Fujita","doi":"10.1109/ISBB.2011.6107698","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107698","url":null,"abstract":"Texture features are useful in analyzing the hepatic fibrosis on CT images, however properly selecting features and slice thickness is still uncertain. In this paper, five types of slice thickness and 15 features extracted from co-occurrence matrix are investigated to select the optimal parameters. Each combination will be checked by using SVM (Support Vector machine) with leave-one-case-out method. 149 cases including 6 grades of hepatic fibrosis are acquired by CT scanner and divided into two groups: normal & mild fibrosis vs severe fibrosis & typical cirrhosis. Iteration test on all of the subsets indicates that 5 to 7 features with slice thickness of 1.25mm is the optimal combination with relative higher accuracy in classification of fibrosis.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}