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.2015.7401519
Xuan Xiao, Zhi-Bing You
Antimicrobial peptides (AMPs), which is a kind of short chain protein, have a strong antimicrobial ability which have antibacterial, antifungal, antiviral effect. Over the last few decades, the research of AMPs is drawing in large scholars, many of whom have engaged in the profound study on predicting AMPs activity, particularly in the AMPs classification. According to microbiology, the minimum inhibitory concentration (MIC) is a kind of antibacterial agent, its concentration is the lowest, which can inhibit the growth of the microorganism. MIC is very crucial in diagnostic lab to prove that the microbial resistance to antimicrobial agents, and to monitor the activity of new antimicrobial agents. It is generally considered as a most basic laboratory for measuring the activity of resistance on living organisms. Due to the process of biological experiments are expensive and cost plenty time, it is the highest favorable and practicable to design an efficacious computer-based MIC prediction method. In this paper, an antimicrobial peptides MIC predictor called "MIC", in which peptides sequence were formulated by incorporating five physicochemical properties into pseudo amino acid composition (PseAAC) and Gaussian kernel regression. According to the result of the MIC showed that the result of the method and experimentally result is high consistent.
{"title":"Predicting minimum inhibitory concentration of antimicrobial peptides by the pseudo-amino acid composition and Gaussian kernel regression","authors":"Xuan Xiao, Zhi-Bing You","doi":"10.1109/BMEI.2015.7401519","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401519","url":null,"abstract":"Antimicrobial peptides (AMPs), which is a kind of short chain protein, have a strong antimicrobial ability which have antibacterial, antifungal, antiviral effect. Over the last few decades, the research of AMPs is drawing in large scholars, many of whom have engaged in the profound study on predicting AMPs activity, particularly in the AMPs classification. According to microbiology, the minimum inhibitory concentration (MIC) is a kind of antibacterial agent, its concentration is the lowest, which can inhibit the growth of the microorganism. MIC is very crucial in diagnostic lab to prove that the microbial resistance to antimicrobial agents, and to monitor the activity of new antimicrobial agents. It is generally considered as a most basic laboratory for measuring the activity of resistance on living organisms. Due to the process of biological experiments are expensive and cost plenty time, it is the highest favorable and practicable to design an efficacious computer-based MIC prediction method. In this paper, an antimicrobial peptides MIC predictor called \"MIC\", in which peptides sequence were formulated by incorporating five physicochemical properties into pseudo amino acid composition (PseAAC) and Gaussian kernel regression. According to the result of the MIC showed that the result of the method and experimentally result is high consistent.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"14 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":"122210715","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}
In this paper, the micro-structure of Zusanli acupuncture point was studied using synchrotron radiation-based phase contrast CT imaging (PCI-CT) method and X-ray fluorescence (XRF) analysis method. The micro-structures of the point were displayed through the topography and trace elements distributions. In this experiment, there are good results for PCI-CT method based on synchrotron radiation; the special resolution reached the dimension of micrometer. Compared to the images of the PCI-CT, which were taken at acupuncture points and non-acupuncture point areas, we find the micro vessels gather in the acupuncture points. In addition, the structures of acupuncture points are different from the surrounding tissues through XRF mapping method. The acupuncture points' structure is different from that of the non-acupuncture points. In the acupuncture point area there is some micro-vascular aggregation, which reveals the differences of the acupoints and non-acupoints. The content of trace elements at the acupuncture points are more than those in the surrounding tissues, which can be inferred that there were the accumulation of trace elements at the acupuncture points' area. The XRF mapping shows that the distributions of Ca, Fe, Cu and Zn elements were similar to their morphology. These differences demonstrate the existence of the acupuncture points. We hope that these results can provide a new basis for our scientific understanding of acupuncture points.
{"title":"The phasel-contrast CT imaging and X-ray fluorescence analysis of Zusanli acupuncture point (ST 36) based on synchrotron radiation","authors":"Cheng-Lin Liu, Xiaohua Wang, Xu Hua, Dongming Zhang, Xingyi Zhang","doi":"10.1109/BMEI.2015.7401508","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401508","url":null,"abstract":"In this paper, the micro-structure of Zusanli acupuncture point was studied using synchrotron radiation-based phase contrast CT imaging (PCI-CT) method and X-ray fluorescence (XRF) analysis method. The micro-structures of the point were displayed through the topography and trace elements distributions. In this experiment, there are good results for PCI-CT method based on synchrotron radiation; the special resolution reached the dimension of micrometer. Compared to the images of the PCI-CT, which were taken at acupuncture points and non-acupuncture point areas, we find the micro vessels gather in the acupuncture points. In addition, the structures of acupuncture points are different from the surrounding tissues through XRF mapping method. The acupuncture points' structure is different from that of the non-acupuncture points. In the acupuncture point area there is some micro-vascular aggregation, which reveals the differences of the acupoints and non-acupoints. The content of trace elements at the acupuncture points are more than those in the surrounding tissues, which can be inferred that there were the accumulation of trace elements at the acupuncture points' area. The XRF mapping shows that the distributions of Ca, Fe, Cu and Zn elements were similar to their morphology. These differences demonstrate the existence of the acupuncture points. We hope that these results can provide a new basis for our scientific understanding of acupuncture points.","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":"122213557","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.2015.7401562
Ruoyu Du, H. Lee
Due to the recent development of brain computer interfaces (BCI), there has been certain relationship between emotion and brain electrical activities. Brain asymmetry could be used for enhanced electroencephalogram (EEG)-based emotional recognition as a prominent feature. Prefrontal hemispheric asymmetries have been proposed in twenty years ago. It is measured by the power of EEG signal in alpha band (8-13Hz), which is related to electrical power response to different emotional stimuli. In this paper, we designed an auditory evoked emotional experiment in order to explore EEG frontal alpha asymmetry by comparing event-related spectral perturbation (ERSP) maps of left and right frontal regions. Thirty healthy male students are employed to stimulate emotion by affective sound clips. All of auditory evoked stimuli come from the standard International Affective Digitized Sounds (IADS) dataset. ERSP maps exhibited that there are the strongest responses of positive sounds overspread the frontal lobe. To be specific, the right prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of high pleasure-arousal, whereas the left prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of middle pleasure-low arousal. Additionally, the stronger responses of high-arousal level sound clips have been found out over the whole right frontal region, while the low-arousal level sound clips can elicit greater relative electrical power over the whole left frontal region.
{"title":"Frontal alpha asymmetry during the audio emotional experiment revealed by event-related spectral perturbation","authors":"Ruoyu Du, H. Lee","doi":"10.1109/BMEI.2015.7401562","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401562","url":null,"abstract":"Due to the recent development of brain computer interfaces (BCI), there has been certain relationship between emotion and brain electrical activities. Brain asymmetry could be used for enhanced electroencephalogram (EEG)-based emotional recognition as a prominent feature. Prefrontal hemispheric asymmetries have been proposed in twenty years ago. It is measured by the power of EEG signal in alpha band (8-13Hz), which is related to electrical power response to different emotional stimuli. In this paper, we designed an auditory evoked emotional experiment in order to explore EEG frontal alpha asymmetry by comparing event-related spectral perturbation (ERSP) maps of left and right frontal regions. Thirty healthy male students are employed to stimulate emotion by affective sound clips. All of auditory evoked stimuli come from the standard International Affective Digitized Sounds (IADS) dataset. ERSP maps exhibited that there are the strongest responses of positive sounds overspread the frontal lobe. To be specific, the right prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of high pleasure-arousal, whereas the left prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of middle pleasure-low arousal. Additionally, the stronger responses of high-arousal level sound clips have been found out over the whole right frontal region, while the low-arousal level sound clips can elicit greater relative electrical power over the whole left frontal region.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"48 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":"123081685","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.2015.7401498
T. Igasaki, Kazuki Nagasawa, N. Murayama, Zhencheng Hu
It is widely known that many traffic accidents occur every year, not only in Japan but also in the world. Drowsiness or sleepiness, which is the cause of dozing at the wheel, happens regardless of the physical condition of the driver after having meals or during midnight. This means that to avoid driver's drowsiness or sleepiness by oneself is hard. Therefore, various systems have been proposed to prevent traffic accidents caused by dozing at the wheel. In this study, we examined the relationship between psychological drowsiness during driving, which was evaluated by the Japanese version of the Karolinska sleepiness scale (KSS-J) and physiological parameters extracted from electrocardiogram and respiration signals. Then we tried to estimate the existence of drowsiness using logistic regression analysis on that parameters. In this study, since KSS-J score 7 indicates sleepy, we determined KSS-J score 7 and more as drowsiness state. The logistic regression method was performed using the half of the data for each subject and used the remaining data as the testing data. As a result, we got 71% of accuracy with heart rate variability (HRV), 72% of accuracy with breathing rate variability (BRV), 81% of accuracy with both signals in the whole subjects using logistic regression. Therefore, it is suggested that HRV and BRV parameters are relevant to drowsiness.
{"title":"Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis","authors":"T. Igasaki, Kazuki Nagasawa, N. Murayama, Zhencheng Hu","doi":"10.1109/BMEI.2015.7401498","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401498","url":null,"abstract":"It is widely known that many traffic accidents occur every year, not only in Japan but also in the world. Drowsiness or sleepiness, which is the cause of dozing at the wheel, happens regardless of the physical condition of the driver after having meals or during midnight. This means that to avoid driver's drowsiness or sleepiness by oneself is hard. Therefore, various systems have been proposed to prevent traffic accidents caused by dozing at the wheel. In this study, we examined the relationship between psychological drowsiness during driving, which was evaluated by the Japanese version of the Karolinska sleepiness scale (KSS-J) and physiological parameters extracted from electrocardiogram and respiration signals. Then we tried to estimate the existence of drowsiness using logistic regression analysis on that parameters. In this study, since KSS-J score 7 indicates sleepy, we determined KSS-J score 7 and more as drowsiness state. The logistic regression method was performed using the half of the data for each subject and used the remaining data as the testing data. As a result, we got 71% of accuracy with heart rate variability (HRV), 72% of accuracy with breathing rate variability (BRV), 81% of accuracy with both signals in the whole subjects using logistic regression. Therefore, it is suggested that HRV and BRV parameters are relevant to drowsiness.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"31 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":"125735156","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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