Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401579
Dai Zhe, L. Jianhui
Dimensionality reduction is an important attribute process work. Dimensionality reduction, i.e, attribute reduction is to delete some uncesserary attributes at rough sets. At present, many attribute reduction methods have provided to delete some superfluous and irrelevant attributes from large-scale complete data sets. The main drawback of most attribute reduction algorithms is that they can not remove some examples in the process of dimensionality reduction, which degrades a computational efficiency of attribute reduction. To overcome this drawback, an improved attribute reduction algorithm for complete data sets is proposed. In addition, the classification performance of attribute reduction is optimized. At first, the compact decision system is presented to delete some repeated objects. Then the significance measure of attributes is provided for candidate attributes. In addition, the novel approach of attribute reduction under the proposed significance measure of attributes was developed. In order to verify the efficiency of our given algorithm, the experiments on UCI datasets are performed by comparing with other attribute reduction algorithms. The results on the experiments tell us that our given algorithm obtains promising improvement for selecting an attribute reduct.
{"title":"A positive region-based dimensionality reduction from high dimensional data","authors":"Dai Zhe, L. Jianhui","doi":"10.1109/BMEI.2015.7401579","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401579","url":null,"abstract":"Dimensionality reduction is an important attribute process work. Dimensionality reduction, i.e, attribute reduction is to delete some uncesserary attributes at rough sets. At present, many attribute reduction methods have provided to delete some superfluous and irrelevant attributes from large-scale complete data sets. The main drawback of most attribute reduction algorithms is that they can not remove some examples in the process of dimensionality reduction, which degrades a computational efficiency of attribute reduction. To overcome this drawback, an improved attribute reduction algorithm for complete data sets is proposed. In addition, the classification performance of attribute reduction is optimized. At first, the compact decision system is presented to delete some repeated objects. Then the significance measure of attributes is provided for candidate attributes. In addition, the novel approach of attribute reduction under the proposed significance measure of attributes was developed. In order to verify the efficiency of our given algorithm, the experiments on UCI datasets are performed by comparing with other attribute reduction algorithms. The results on the experiments tell us that our given algorithm obtains promising improvement for selecting an attribute reduct.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290715","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401603
Jing Liu, Li Ke, Qiang Du, Ling Han
Electromagnetic measurement method was a non-contact biological tissue conductivity measurement technology. This paper presented a liquid conductivity measurement system based on electromagnetic induction; phase difference information of induced magnetic field was used as detection signal in the system. Firstly, the system was composed of excitation source based on directly digital synthesis, phase detector based on SR844 RF lock-in amplifier, excitation-detection coils sensor and signal processing circuit. Secondly, the maximum error of exciting source frequency accuracy was 2.4%, the phase drift of system was 0.001° /min, the phase resolution was 0.02°, the minimum conductivity could be detected by this system was 0.004S/m. Finally, the saline solution experiments of different concentration and different kinds of drinking water were made by this system, the experimental results demonstrated that the system could obviously identify category of water, and measurement results were consistent with the theory of electromagnetic field.
{"title":"A liquid conductivity measurement system based on electromagnetic induction","authors":"Jing Liu, Li Ke, Qiang Du, Ling Han","doi":"10.1109/BMEI.2015.7401603","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401603","url":null,"abstract":"Electromagnetic measurement method was a non-contact biological tissue conductivity measurement technology. This paper presented a liquid conductivity measurement system based on electromagnetic induction; phase difference information of induced magnetic field was used as detection signal in the system. Firstly, the system was composed of excitation source based on directly digital synthesis, phase detector based on SR844 RF lock-in amplifier, excitation-detection coils sensor and signal processing circuit. Secondly, the maximum error of exciting source frequency accuracy was 2.4%, the phase drift of system was 0.001° /min, the phase resolution was 0.02°, the minimum conductivity could be detected by this system was 0.004S/m. Finally, the saline solution experiments of different concentration and different kinds of drinking water were made by this system, the experimental results demonstrated that the system could obviously identify category of water, and measurement results were consistent with the theory of electromagnetic field.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131616605","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401487
Xiao Hu, Yufeng Zhang, Li Deng, Shuang Peng, Kexin Zhang
For observing the parameters and the fitting performance, this paper compares the Homodyned K-distribution with the single distributions for RF ultrasonic speckle modeling. To implement different scatterer distributions representing a variable density of random scatterers with or without coherent component, A set of 3D scatterer models are built based on a three-dimensional Hilbert curve following Gamma distributions with different values of shape and scale parameters. The RF data are simulated by using the Field II software. Then the maximum likelihood estimation (MLE) for statistical histograms of the energy of the RF data is performed to obtain the values of log-likelihood and model parameters. In order to evaluate the fitting performance and parameter meaning of the HK distribution, the mean and standard deviation of these estimated values are compared with those based on the optimal fitting model chosen from commonly used single-distributions (OSD), the K, Rayleigh and Rician distributions. The results show the parameters of Homodyned K-distribution obtained by the MLE could independently represent the clustered, random or uniform characteristics for scatterer distribution. However, the fitting accuracy could only catch up with that based on the OSD joint model under the condition that the tissue contains the scatterers from medium to high effective-density, as well as deterministic or non-deterministic components. The OSD model is still a better choice in the case of the fitting performance emphasized in practice, especially the tissue with a wider range of scatterer densities and deterministic components.
{"title":"A comparison of the Homodyned K-distribution and the single distributions for RF ultrasonic speckle modeling","authors":"Xiao Hu, Yufeng Zhang, Li Deng, Shuang Peng, Kexin Zhang","doi":"10.1109/BMEI.2015.7401487","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401487","url":null,"abstract":"For observing the parameters and the fitting performance, this paper compares the Homodyned K-distribution with the single distributions for RF ultrasonic speckle modeling. To implement different scatterer distributions representing a variable density of random scatterers with or without coherent component, A set of 3D scatterer models are built based on a three-dimensional Hilbert curve following Gamma distributions with different values of shape and scale parameters. The RF data are simulated by using the Field II software. Then the maximum likelihood estimation (MLE) for statistical histograms of the energy of the RF data is performed to obtain the values of log-likelihood and model parameters. In order to evaluate the fitting performance and parameter meaning of the HK distribution, the mean and standard deviation of these estimated values are compared with those based on the optimal fitting model chosen from commonly used single-distributions (OSD), the K, Rayleigh and Rician distributions. The results show the parameters of Homodyned K-distribution obtained by the MLE could independently represent the clustered, random or uniform characteristics for scatterer distribution. However, the fitting accuracy could only catch up with that based on the OSD joint model under the condition that the tissue contains the scatterers from medium to high effective-density, as well as deterministic or non-deterministic components. The OSD model is still a better choice in the case of the fitting performance emphasized in practice, especially the tissue with a wider range of scatterer densities and deterministic components.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988076","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401526
Zhidong Miao, Dake Liu, Chen Gong
This paper presents a design method and results of prototyping for the wireless power transfer (WPT) link used in intraocular implantable devices. In this kind of applications, the coil size is constrained strictly, which makes it hard to find an efficient configuration by only changing the coil geometry. Therefore, in our design, we took frequency into account as another design dimension to expand the design margin. We set up a WPT design flow using a novel scope of matching network and taking frequency as a variable parameter. Finally, we obtained a WPT coupling efficiency up to 63.9%.
{"title":"An optimizing procedure of the wireless power transfer link for an intraocular implantable device","authors":"Zhidong Miao, Dake Liu, Chen Gong","doi":"10.1109/BMEI.2015.7401526","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401526","url":null,"abstract":"This paper presents a design method and results of prototyping for the wireless power transfer (WPT) link used in intraocular implantable devices. In this kind of applications, the coil size is constrained strictly, which makes it hard to find an efficient configuration by only changing the coil geometry. Therefore, in our design, we took frequency into account as another design dimension to expand the design margin. We set up a WPT design flow using a novel scope of matching network and taking frequency as a variable parameter. Finally, we obtained a WPT coupling efficiency up to 63.9%.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129549766","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401468
Haijun Luo, Xin Jiang
Magnetic induction tomography (MIT) is a contactless measurement of biological tissue conductivity imaging technique. The spiral coil is widely used, which leads to the nonuniformity of sensitivity distribution of the detection signal. This paper proposed the Helmholtz coil which can generate a set of uniform excitation fields, and analyzed the uniformity of excitation field. In MIT system, the exciting magnetic field is generated through sine-wave current, with the frequency of 10MHz and exciting current of 20mA. The experimental physics model simulated cerebral hemorrhage is produced by using the distilled water, the agar powder and NaCl. The result experiments show that this system can test the changes of the conductivity of partial tissues, and reflect the position of the foreign matter, but the image is enlarged compared with the actual one.
{"title":"The magnetic induction tomography measurement system based on Helmholtz coil","authors":"Haijun Luo, Xin Jiang","doi":"10.1109/BMEI.2015.7401468","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401468","url":null,"abstract":"Magnetic induction tomography (MIT) is a contactless measurement of biological tissue conductivity imaging technique. The spiral coil is widely used, which leads to the nonuniformity of sensitivity distribution of the detection signal. This paper proposed the Helmholtz coil which can generate a set of uniform excitation fields, and analyzed the uniformity of excitation field. In MIT system, the exciting magnetic field is generated through sine-wave current, with the frequency of 10MHz and exciting current of 20mA. The experimental physics model simulated cerebral hemorrhage is produced by using the distilled water, the agar powder and NaCl. The result experiments show that this system can test the changes of the conductivity of partial tissues, and reflect the position of the foreign matter, but the image is enlarged compared with the actual one.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131442108","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401464
Musibau A. Ibrahim, R. Mukundan
The effectiveness of local or global features has recently attracted growing attention in the field of texture image classification and retrieval. The features of the local binary pattern (LBP) for instance, usually lack global spatial information while global descriptors would provide very little local information. This paper proposes two different descriptors to circumvent these shortcomings by providing more information to describe different textural structures of the Emphysema computed tomography (CT) images. The proposed LBP+Multi-fractal Images (LMI) and the rotational invariant LBP+Multi-fractal Images (RLMI) can provide more accurate classification results by using a hybrid concatenation of the local and global features. The experimental approaches are validated for different scales of Emphysema images during the classification process in order to determine the appropriate image size that could yield the maximum classification accuracy. The experimental results show that the descriptors extracted from the combined features considerably improve the performance of the classifiers. The results also indicate that the LMI descriptor outperforms the earlier approaches and demonstrate the discriminating power and robustness of the combined features for accurate classification of Emphysema CT images.
{"title":"Analysis of scale variations of local features for accurate classification of Emphysema images","authors":"Musibau A. Ibrahim, R. Mukundan","doi":"10.1109/BMEI.2015.7401464","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401464","url":null,"abstract":"The effectiveness of local or global features has recently attracted growing attention in the field of texture image classification and retrieval. The features of the local binary pattern (LBP) for instance, usually lack global spatial information while global descriptors would provide very little local information. This paper proposes two different descriptors to circumvent these shortcomings by providing more information to describe different textural structures of the Emphysema computed tomography (CT) images. The proposed LBP+Multi-fractal Images (LMI) and the rotational invariant LBP+Multi-fractal Images (RLMI) can provide more accurate classification results by using a hybrid concatenation of the local and global features. The experimental approaches are validated for different scales of Emphysema images during the classification process in order to determine the appropriate image size that could yield the maximum classification accuracy. The experimental results show that the descriptors extracted from the combined features considerably improve the performance of the classifiers. The results also indicate that the LMI descriptor outperforms the earlier approaches and demonstrate the discriminating power and robustness of the combined features for accurate classification of Emphysema CT images.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096644","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401541
Yifeng Sun, Lixu Gu, Junfeng Cai
Minimal invasive direct coronary artery bypass grafting (MIDCAB) procedures are potentially advantageous over conventional open surgery, while one major limitation is the narrow view of the endoscope and the difficulty in detecting stenosis from the endoscopic view. In this paper, we propose a frame to align the endoscope view and the 3D-vessel model reconstructed from angiography. We register the endoscopic video frame with the 3D-vessel model by electro-magnetic sensor, and then we segment the vessel in the endoscopic video frame with HSV (hue, saturation, value) and hessian transformation, and refined the registration with the vessel model by Coherent Points Drifting. We have validated the proposed method on a static phantom heart model and a real patient's endoscope video. RMSE (root mean-square error) was employed to evaluate our method and the registration error for the phantom model were 1.1+-0.2mm, for the real patient was 3.1mm.
{"title":"Target vessel identification in endoscopic coronary artery bypass grafting","authors":"Yifeng Sun, Lixu Gu, Junfeng Cai","doi":"10.1109/BMEI.2015.7401541","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401541","url":null,"abstract":"Minimal invasive direct coronary artery bypass grafting (MIDCAB) procedures are potentially advantageous over conventional open surgery, while one major limitation is the narrow view of the endoscope and the difficulty in detecting stenosis from the endoscopic view. In this paper, we propose a frame to align the endoscope view and the 3D-vessel model reconstructed from angiography. We register the endoscopic video frame with the 3D-vessel model by electro-magnetic sensor, and then we segment the vessel in the endoscopic video frame with HSV (hue, saturation, value) and hessian transformation, and refined the registration with the vessel model by Coherent Points Drifting. We have validated the proposed method on a static phantom heart model and a real patient's endoscope video. RMSE (root mean-square error) was employed to evaluate our method and the registration error for the phantom model were 1.1+-0.2mm, for the real patient was 3.1mm.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441329","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401548
Zijun Qin, Minghui Wang, Yujie Jiang, Xiaoyi Xu, Huanqing Feng, Ao Li
Protein phosphorylation, one of the most important types of post-translational modifications (PTMs), participates in multiple cellular processes. Accurate prediction on phosphorylaiton sites has become necessary, as many modifications are related to diseases and used as biomarkers. Currently a number of computational approaches only establish prediction models on sequence information. In this study, site-modification network (SMNet) profiles are proposed to enhance the prediction performance, which reflect information among in situ PTMs. In addition, a two-step algorithm that incorporates SVM with feature selection is adopted. To further demonstrate the method, we compare it with PPSP and GPS 3. 0, finally the results indicate that SMNet profiles effectively improve the performance on predicting phosphorylation sites.
{"title":"A novel method for predicting protein phosphorylation via site-modification network profiles","authors":"Zijun Qin, Minghui Wang, Yujie Jiang, Xiaoyi Xu, Huanqing Feng, Ao Li","doi":"10.1109/BMEI.2015.7401548","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401548","url":null,"abstract":"Protein phosphorylation, one of the most important types of post-translational modifications (PTMs), participates in multiple cellular processes. Accurate prediction on phosphorylaiton sites has become necessary, as many modifications are related to diseases and used as biomarkers. Currently a number of computational approaches only establish prediction models on sequence information. In this study, site-modification network (SMNet) profiles are proposed to enhance the prediction performance, which reflect information among in situ PTMs. In addition, a two-step algorithm that incorporates SVM with feature selection is adopted. To further demonstrate the method, we compare it with PPSP and GPS 3. 0, finally the results indicate that SMNet profiles effectively improve the performance on predicting phosphorylation sites.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128574508","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401497
Izzat Aulia Akbar, T. Igasaki, N. Murayama, Zhencheng Hu
Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J <; 7) with P <; 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.
交通事故是许多国家面临的最重要的问题之一。交通事故的原因之一是嗜睡。为了解决这个问题已经做了很多研究。其中之一是捕捉司机的面部表情，估计司机的困倦程度。此外，测量驾驶员的生理状况，并利用它来预测一个人的困倦也被考虑。由于嗜睡与大脑密切相关，利用生物信号尤其是大脑信号来评估嗜睡成为最有希望评估嗜睡的方法。在驾驶模拟器环境下，采用脑电图(EEG)信号和日本版Karolinska嗜睡量表(KSS-J)研究嗜睡与生理状态的关系。结果表明:与清醒状态(KSS-J < 7)相比，困倦状态(KSS-J≥7)枕叶脑电信号α频带功率显著增加;7) P <;0.001. 因此，在驾驶模拟器环境下，脑电图可以有效地发现驾驶员的困倦状态。
{"title":"Drowsiness assessment using electroencephalogram in driving simulator environment","authors":"Izzat Aulia Akbar, T. Igasaki, N. Murayama, Zhencheng Hu","doi":"10.1109/BMEI.2015.7401497","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401497","url":null,"abstract":"Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J <; 7) with P <; 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126209288","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}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401512
Weixia Wu
A coupled transport model of Brownian motors driven by two periodic forces is established. The effects of the two periodic forces on the cooperative transport behaviours of Brownian motors are investigated, including the frequencies and intensities. The results show that when the frequencies of periodic forces are all too large or too small, the directed transport of the motors system can't appear, and appropriate frequencies can promote the transport. Otherwise, with increasing the intensities of periodic forces, the directed transport is more and more obvious. In addition, the effect of a constant force is discussed. It is found that the constant force on the non ratchet potential can't offer effective energy for the directed transport of system, but the constant force on the ratchet potential can offer.
{"title":"A coupled transport model of Brownian motors driven by two periodic forces","authors":"Weixia Wu","doi":"10.1109/BMEI.2015.7401512","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401512","url":null,"abstract":"A coupled transport model of Brownian motors driven by two periodic forces is established. The effects of the two periodic forces on the cooperative transport behaviours of Brownian motors are investigated, including the frequencies and intensities. The results show that when the frequencies of periodic forces are all too large or too small, the directed transport of the motors system can't appear, and appropriate frequencies can promote the transport. Otherwise, with increasing the intensities of periodic forces, the directed transport is more and more obvious. In addition, the effect of a constant force is discussed. It is found that the constant force on the non ratchet potential can't offer effective energy for the directed transport of system, but the constant force on the ratchet potential can offer.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127338999","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}
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