International Symposium on Bioelectronics and Bioinformations 2011最新文献_第2页

Spontaneous oscillations of cerebral oxygenation signal and its correlation with transcranial Doppler hemodynamic parameters 脑氧合信号的自发振荡及其与经颅多普勒血流动力学参数的相关性

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107655

Zengyong Li, Qing Xin, Jianping Li

{"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}

引用次数: 0

Reform and characterization of concentric-circle electrode tip for neural stimulating or recording 用于神经刺激或记录的同心圆电极尖端的改造与表征

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107631

Suyang Wang, Xiaoying Lu, Zhigong Wang, Cen-Yu Huang, Yue-Lin Chen

{"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}

引用次数: 1

An improved algorithm for noninvasive blood pressure measurement 一种改进的无创血压测量算法

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107640

Qun Wang, Yongping Wang, Zhe Mei, Zhiwen Liu

引用次数: 7

Cellular S-value and energy distribution for electrons by Monte Carlo simulation 用蒙特卡罗模拟细胞s值和电子能量分布

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107692

Jinpeng Geng, Tianguang Cao, Duo-Fang Li, Chunlei Hu, Yafei Chen, Hailong An, Y. Zhan

引用次数: 0

C' deviation-a more obvious method for description of amino acid geometry C′偏差——描述氨基酸几何结构的一种更明显的方法

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107681

Tang Heyun, Hu Junfeng, Zhao Jie

引用次数: 0

New algorithm for the depression diagnosis using HRV: A neuro-fuzzy approach 基于HRV的抑郁症诊断新算法:一种神经模糊方法

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107702

Zhen-Xing Zhang, Xue-Wei Tian, J. Lim

{"title":"New algorithm for the depression diagnosis using HRV: A neuro-fuzzy approach","authors":"Zhen-Xing Zhang, Xue-Wei Tian, J. Lim","doi":"10.1109/ISBB.2011.6107702","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107702","url":null,"abstract":"Recent research indicates a significant relationship between the severity of depression and heart rate variability (HRV). This paper presents a neuro-fuzzy approach-based classification algorithm, which distinguishes patients with depression from controls by a neuro-fuzzy network with a weighted fuzzy membership function (NEWFM) using the two time domain and four frequency domain features of HRV. The HRV data were collected from 10 patients with depression and an equal number of healthy controls. Wearing a wireless Holter monitor, each subject underwent a 13-minute multimodal affective contents stimulus, which can induce a variety of emotions. HRV activity was transformed and recorded from periods of 13-minute ECG signals. With a reliable accuracy rate of 95%, the six HRV features were extracted and used as NEWFM input features for depression classification. The standard deviation of the RR intervals (SDNN) and very low frequency (VLF) of HRV were evaluated as good features-from six features-by a non-overlap area distribution measurement method. The two features reflected conspicuous differences between the depression diagnosed and the healthy subjects, which indicates a significant association between depression and the autonomic nervous system. The proposed algorithm will be implemented as a depression monitoring system in a Smartphone application.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"5 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":"128825772","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}

引用次数: 22

System of Multi-parameter for Anaesthesia depth monitor 麻醉深度监测多参数系统

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107641

Yong Ren, Cheng-zhang Wang, Liang, Zhangyong Li, Likun Xu, Wei Wang, Dechun Zhao, Huiquan Zhang, Xiaoyan Liang

引用次数: 2

Simulation of ictal EEG with a neuronal population model 用神经元群模型模拟脑电图

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107656

Zheneng-hua Ma, Weidong Zhou, Qi Yuan, Shujuan Geng

引用次数: 4

Robust power line interference suppression for ECG signal based on H∞ filter 基于H∞滤波器的心电信号鲁棒电力线干扰抑制

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107666

Guojun Li, Shu-ting. Zhang, Lan-Xiao Xiao-jie Hao, Xiaona Zhou

引用次数: 3

Staging the hepatic fibrosis on CT images: Optimizing the slice thickness and texture features 肝纤维化的CT分期:优化切片厚度和纹理特征

International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-12-19 DOI: 10.1109/ISBB.2011.6107698

Wendong Li, Yufan Zeng, Xuejun Zhang, Yu Huang, L. Long, H. Fujita

引用次数: 3