Pub Date : 2005-05-26DOI: 10.1109/ICNIC.2005.1499833
Luo Guangming, L. Dongmei, Jiang Zhenglin, D. Fei, Gu Xiaosong, Wang Zhigong
In order to investigate the pick-up, the process and the regeneration of central neural signals for neural function regeneration by means of microelectronic techniques, it is necessary to do a more detailed investigation, primarily of the stereotactic anatomical bases of corticospinal tract (CST). In present study, we use a polyclonal antibody against protein kinase C gamma subspecies (PKC /spl gamma/) as a specific marker of CST to reveal the precise localization of CST in rat spinal cord by immunohistochemistry. The strong PKC /spl gamma/ immunoreactivities in axons of CST were found in the pyramid and pyramidal decussation of medulla oblongata, and then from the cervical to lumbar spinal cord, PKC /spl gamma/ immunoreactivities were found to descend caudully through the white matter occupying the ventralmost portion of the posterior funiculus. At the conus medullaris, the positive reactivities of PKC /spl gamma/ appeared at the midline of the posterior funiculus. The area of positive reactivities of PKC /spl gamma/ decreased in size caudally in different spinal cord segments. These findings suggest that PKC /spl gamma/ immunohistochemical method can show the accurate position of corticospinal tract in rat spinal cord clearly, and provide the stereotactic anatomical bases for the microelectronic chip implantation in spinal cord.
{"title":"Immunohistochemical localization of the corticospinal tract in normal rat spinal cord as a stereotactic guidance for implantation of microelectronic chip","authors":"Luo Guangming, L. Dongmei, Jiang Zhenglin, D. Fei, Gu Xiaosong, Wang Zhigong","doi":"10.1109/ICNIC.2005.1499833","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499833","url":null,"abstract":"In order to investigate the pick-up, the process and the regeneration of central neural signals for neural function regeneration by means of microelectronic techniques, it is necessary to do a more detailed investigation, primarily of the stereotactic anatomical bases of corticospinal tract (CST). In present study, we use a polyclonal antibody against protein kinase C gamma subspecies (PKC /spl gamma/) as a specific marker of CST to reveal the precise localization of CST in rat spinal cord by immunohistochemistry. The strong PKC /spl gamma/ immunoreactivities in axons of CST were found in the pyramid and pyramidal decussation of medulla oblongata, and then from the cervical to lumbar spinal cord, PKC /spl gamma/ immunoreactivities were found to descend caudully through the white matter occupying the ventralmost portion of the posterior funiculus. At the conus medullaris, the positive reactivities of PKC /spl gamma/ appeared at the midline of the posterior funiculus. The area of positive reactivities of PKC /spl gamma/ decreased in size caudally in different spinal cord segments. These findings suggest that PKC /spl gamma/ immunohistochemical method can show the accurate position of corticospinal tract in rat spinal cord clearly, and provide the stereotactic anatomical bases for the microelectronic chip implantation in spinal cord.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125933363","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499863
Pan Wei, Weihua Li
Neural Interface (NI) technology has been an area of intense recent research and development activity. Signal and information management of neural recordings for complex neural interface system become a very difficult task. Recently we develop a framework for complex neural interface system aimed at processing neural signals with multisensor fusion approaches. The relationship of the data fusion with the whole system is detailed discussed. A general fusion and control architecture for complex neural interface system is proposed. In this work, using the proposed approach we make an illustrative experiment by exploiting the Sleep Heart Health Study Polysomnography (SHHS) Database to seek to integrate with the ECG, EEG, EOG and other neural signals, and propose a good solution to the investigation of clinical neural medicine.
{"title":"Multisensor data fusion and control for complex neural interface system","authors":"Pan Wei, Weihua Li","doi":"10.1109/ICNIC.2005.1499863","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499863","url":null,"abstract":"Neural Interface (NI) technology has been an area of intense recent research and development activity. Signal and information management of neural recordings for complex neural interface system become a very difficult task. Recently we develop a framework for complex neural interface system aimed at processing neural signals with multisensor fusion approaches. The relationship of the data fusion with the whole system is detailed discussed. A general fusion and control architecture for complex neural interface system is proposed. In this work, using the proposed approach we make an illustrative experiment by exploiting the Sleep Heart Health Study Polysomnography (SHHS) Database to seek to integrate with the ECG, EEG, EOG and other neural signals, and propose a good solution to the investigation of clinical neural medicine.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121743838","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499838
O. Byron, J. He, J. Hu, J. Si
While even a single bit output can impart a great deal of improvement in quality of life to patients, a richer vocabulary could obviously mean an even greater degree of control. This paper discusses ideas about extending previous results of using a support vector machine (SVM) based brain machine interface (BMI) to include multiple directions and magnitudes. It also investigates the number of neurons needed to create an accurate two direction result.
{"title":"A conceptual brain machine interface system","authors":"O. Byron, J. He, J. Hu, J. Si","doi":"10.1109/ICNIC.2005.1499838","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499838","url":null,"abstract":"While even a single bit output can impart a great deal of improvement in quality of life to patients, a richer vocabulary could obviously mean an even greater degree of control. This paper discusses ideas about extending previous results of using a support vector machine (SVM) based brain machine interface (BMI) to include multiple directions and magnitudes. It also investigates the number of neurons needed to create an accurate two direction result.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522910","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499835
Z. Jianzhong, Jia Shan, Cao Peipei, Yang Yuankui, Wang Xunheng
Emotions play an important role in people's everyday life. It's desirable to create intelligent computer systems that understand users' emotional states. In this paper we report on our efforts in developing multimodal affective user interface system used in emotion assessment. First, we discuss the importance of emotion research. Secondly, we introduce the prototype MAUI system built in BABYLAB. There are different modalities of synchronous inputs from the user using wireless sensors and multimedia computer sensing, including physiological signals, facial expressions, speech signals, and behavioral data. The physiological signals are collected using wireless remote sensors in real time. The images of facial expression and the ongoing videos of behavior and gesture are recorded by several cameras connected to different controlling computers. Signals captured simultaneously during experiments are saved in order to discern emotional state from processing sensory modalities over time. All these signals and experiments are collected synchronously in real time to make multimodal signal analysis convenient. Then, using this system, we present preliminary results from an exploratory study that aims to estimate emotion state with non-invasive technologies, which are mapped to their corresponding emotions. Finally, we discuss usages of this system in educational area, and people may benefit from improved satisfaction in learning and training.
{"title":"Modeling and application of multimodal affective user interface with multimedia computer sensing","authors":"Z. Jianzhong, Jia Shan, Cao Peipei, Yang Yuankui, Wang Xunheng","doi":"10.1109/ICNIC.2005.1499835","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499835","url":null,"abstract":"Emotions play an important role in people's everyday life. It's desirable to create intelligent computer systems that understand users' emotional states. In this paper we report on our efforts in developing multimodal affective user interface system used in emotion assessment. First, we discuss the importance of emotion research. Secondly, we introduce the prototype MAUI system built in BABYLAB. There are different modalities of synchronous inputs from the user using wireless sensors and multimedia computer sensing, including physiological signals, facial expressions, speech signals, and behavioral data. The physiological signals are collected using wireless remote sensors in real time. The images of facial expression and the ongoing videos of behavior and gesture are recorded by several cameras connected to different controlling computers. Signals captured simultaneously during experiments are saved in order to discern emotional state from processing sensory modalities over time. All these signals and experiments are collected synchronously in real time to make multimodal signal analysis convenient. Then, using this system, we present preliminary results from an exploratory study that aims to estimate emotion state with non-invasive technologies, which are mapped to their corresponding emotions. Finally, we discuss usages of this system in educational area, and people may benefit from improved satisfaction in learning and training.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563933","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499830
Pei Xiaomei, Z. Chong-xun, Xu Jin, Bin Guangyu
The Adaboost classifier with Fisher discriminant analysis (FDA) as base learner is proposed to discriminate the left and right hand motor imagery tasks in this paper. Firstly, multichannel complexity and held power of EEG within 10-12Hz over two brain hemispheres are extracted as feature vectors, which characterize the brain features during hand motor imagination. Then with the Adaboost classifier, the satisfactory classification results on test data can be obtained. The maximum classification accuracy reaches to 89.29% and the maximum mutual information is 0.59bit. The primary results show that the Adaboost could effectively improve the classification accuracy of left and right hand motor imagery tasks, so that it has great potentials to mental tasks classification for BCI.
{"title":"Adaboost for improving classification of left and right hand motor imagery tasks","authors":"Pei Xiaomei, Z. Chong-xun, Xu Jin, Bin Guangyu","doi":"10.1109/ICNIC.2005.1499830","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499830","url":null,"abstract":"The Adaboost classifier with Fisher discriminant analysis (FDA) as base learner is proposed to discriminate the left and right hand motor imagery tasks in this paper. Firstly, multichannel complexity and held power of EEG within 10-12Hz over two brain hemispheres are extracted as feature vectors, which characterize the brain features during hand motor imagination. Then with the Adaboost classifier, the satisfactory classification results on test data can be obtained. The maximum classification accuracy reaches to 89.29% and the maximum mutual information is 0.59bit. The primary results show that the Adaboost could effectively improve the classification accuracy of left and right hand motor imagery tasks, so that it has great potentials to mental tasks classification for BCI.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206726","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499859
Liu Haihua, Chen Xinhao, Chen Yaguang
This paper discusses the applicability of the wavelet transform for analyzing EMG signal and discriminating motion classes. In previous many works, researchers have dealt with steady EMG and have proposed analyzing methods being suitable for the EMG, for example FFT and STFT. Therefore, it is difficult for the previous approaches to discriminate motions from the EMG in the different phases of muscle activity, i.e., pre-activity, in activity, post-activity phases, as well as the period of motion transition from one to another. In this paper, we introduce the wavelet transform using the Coiflet mother wavelet into our real-time EMG prosthetic hand controller for discriminating motions from steady and unsteady EMG. A preliminary experiment to discriminate three hand motions from four channels EMG in the initial pre-activity and in activity phase is carried out to show the effectiveness of the approach. However, future research effort is necessary to discriminate more motions much precisely.
{"title":"Wavelet transform analyzing and real-time learning method for myoelectric signal in motion discrimination","authors":"Liu Haihua, Chen Xinhao, Chen Yaguang","doi":"10.1109/ICNIC.2005.1499859","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499859","url":null,"abstract":"This paper discusses the applicability of the wavelet transform for analyzing EMG signal and discriminating motion classes. In previous many works, researchers have dealt with steady EMG and have proposed analyzing methods being suitable for the EMG, for example FFT and STFT. Therefore, it is difficult for the previous approaches to discriminate motions from the EMG in the different phases of muscle activity, i.e., pre-activity, in activity, post-activity phases, as well as the period of motion transition from one to another. In this paper, we introduce the wavelet transform using the Coiflet mother wavelet into our real-time EMG prosthetic hand controller for discriminating motions from steady and unsteady EMG. A preliminary experiment to discriminate three hand motions from four channels EMG in the initial pre-activity and in activity phase is carried out to show the effectiveness of the approach. However, future research effort is necessary to discriminate more motions much precisely.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115723716","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499865
Tonghan Lan, Cheng Bo, Qi-ling Liu, Jiarui Lin
The kinetics of ion channels have been widely modeled as a Markov process. In these models it is assumed that the channel protein has a small number of discrete conformational states and kinetic rate constants connecting these states are constant. In this paper, voltage-dependent K/sup +/ channel current is recorded using cell-attached patch-clamp technique in rat dorsal root ganglion neurons. Due to various sources of noise, such as, seal leakage, electronic noise in the equipment, and shot noise in the channel. Firstly wavelet packet (WP) analysis is applied denoise, the error analysis shown that max error is 10.658fA, the result shown patch-clamp signals exist partially noise eliminated. Secondly Spectral analysis of ion channel current is studied, the result make known that spectrum is not flat spectrum, the data set from wavelet reconstruction shows considerable variability with a broad 1/f-like spectrum. Thirdly the phase space plot of x(t+/spl Delta/ t) versus x(t) is different for the random and the deterministic process, thus phase space analysis can be used to analyze time series to determine if it was generated by a random or a deterministics mechanism, the result is indicated that the gating kinetics of k/sup +/ channel in rat dorsal root ganglion neurons with nonlinear dynamics properties. Absolute values of C/sub a,b/ coefficients for different scales look similar, while resemblance index also resembles itself at difference scales. Thus, the voltage dependence of the gating of this ion channel exhibits nonlinear dynamics properties.
{"title":"Nonlinear kinetics, fractals and chaos: applications to potassium single channel","authors":"Tonghan Lan, Cheng Bo, Qi-ling Liu, Jiarui Lin","doi":"10.1109/ICNIC.2005.1499865","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499865","url":null,"abstract":"The kinetics of ion channels have been widely modeled as a Markov process. In these models it is assumed that the channel protein has a small number of discrete conformational states and kinetic rate constants connecting these states are constant. In this paper, voltage-dependent K/sup +/ channel current is recorded using cell-attached patch-clamp technique in rat dorsal root ganglion neurons. Due to various sources of noise, such as, seal leakage, electronic noise in the equipment, and shot noise in the channel. Firstly wavelet packet (WP) analysis is applied denoise, the error analysis shown that max error is 10.658fA, the result shown patch-clamp signals exist partially noise eliminated. Secondly Spectral analysis of ion channel current is studied, the result make known that spectrum is not flat spectrum, the data set from wavelet reconstruction shows considerable variability with a broad 1/f-like spectrum. Thirdly the phase space plot of x(t+/spl Delta/ t) versus x(t) is different for the random and the deterministic process, thus phase space analysis can be used to analyze time series to determine if it was generated by a random or a deterministics mechanism, the result is indicated that the gating kinetics of k/sup +/ channel in rat dorsal root ganglion neurons with nonlinear dynamics properties. Absolute values of C/sub a,b/ coefficients for different scales look similar, while resemblance index also resembles itself at difference scales. Thus, the voltage dependence of the gating of this ion channel exhibits nonlinear dynamics properties.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117046119","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499844
Lin Jianhui, Wu Xiaoming, Huang Pengsheng, Ren Tianling, Liu Litian
This paper introduces a simple MEMS (micro electromechanical system) process to fabricate a 16-site neural recording probe array and gives a detailed characterization of the neuron-electrode interface, based on the equivalent circuit approach. The impedance magnitude of the probes shows approximately a constant slope of f/sup -0.75/ from 100Hz up to 1MHz. The action potential can be simulated by the general-purpose circuit simulation program, such as HSPICE. The responses of the microelectrodes act as a function of several parameters, such as the sealing resistance and input resistance of the preamplifier. The responses are not sensitive to the changes of the microelectrode parameters. However, appreciable influence of the parasitic capacitance was obtained when the sealing resistance was large (e.g. 100M/spl Omega/).
{"title":"A 16-site neural recording probe array and its circuit model simulation","authors":"Lin Jianhui, Wu Xiaoming, Huang Pengsheng, Ren Tianling, Liu Litian","doi":"10.1109/ICNIC.2005.1499844","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499844","url":null,"abstract":"This paper introduces a simple MEMS (micro electromechanical system) process to fabricate a 16-site neural recording probe array and gives a detailed characterization of the neuron-electrode interface, based on the equivalent circuit approach. The impedance magnitude of the probes shows approximately a constant slope of f/sup -0.75/ from 100Hz up to 1MHz. The action potential can be simulated by the general-purpose circuit simulation program, such as HSPICE. The responses of the microelectrodes act as a function of several parameters, such as the sealing resistance and input resistance of the preamplifier. The responses are not sensitive to the changes of the microelectrode parameters. However, appreciable influence of the parasitic capacitance was obtained when the sealing resistance was large (e.g. 100M/spl Omega/).","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125390992","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499834
Pei Weihua, Chen Hongda, Tang Jun, Lu Lin, Liu Jin-bin, Su Xiaohong, Wu Huijuan, Huo Xiaofeng, C. Jinghua, L. Xiaoxin, Li Kai
The present study reports a subretinal implant device which can imitate the function of photoreceptor cells. Photodiode (PD) arrays on the chip translate the incident light into current according to the intensity of light. With an electrode at the end of every photodiode, the PDs transfer the current to the remnant healthy visual cells such as bipolar cells and horizontal cells and then activate these cells. Biocompatible character of the materials and artificial photoreceptor itself were tested and the photoelectric characteristics of the chips in simulative condition were described and discussed.
{"title":"Subretinal implantable artificial photoreceptor","authors":"Pei Weihua, Chen Hongda, Tang Jun, Lu Lin, Liu Jin-bin, Su Xiaohong, Wu Huijuan, Huo Xiaofeng, C. Jinghua, L. Xiaoxin, Li Kai","doi":"10.1109/ICNIC.2005.1499834","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499834","url":null,"abstract":"The present study reports a subretinal implant device which can imitate the function of photoreceptor cells. Photodiode (PD) arrays on the chip translate the incident light into current according to the intensity of light. With an electrode at the end of every photodiode, the PDs transfer the current to the remnant healthy visual cells such as bipolar cells and horizontal cells and then activate these cells. Biocompatible character of the materials and artificial photoreceptor itself were tested and the photoelectric characteristics of the chips in simulative condition were described and discussed.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133442559","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 : 2005-05-26DOI: 10.1109/ICNIC.2005.1499851
Yang Yuankui, Z. Jianzhong
Electroencephalography (EEG) is widely used to record activities of human brain in the area of psychology for many years. With the development of technology, neural basis of functional areas of emotion processing is revealed gradually. In order to extract the useful information of emotion from the background of EEG signals and noise, we propose to combine methods of psychology and the technology of signal processing such as pattern recognition, etc. In this paper, we first review the psychological methods and signal processing technology in the field of emotion research, and point out the junctions of these two approaches. Secondly, we introduce a method to evaluate emotion competence objectively, which involves the analyses of frequency fluctuations of EEG signals and frontal EEG asymmetry. Then, we take an example of event-related potentials (ERP) study about the face recognition task and the discrimination of sad/happy/neutral emotional facial expressions task. Finally, we indicate the present difficulties in this research area, and advance the possible solution to resolve these problems.
{"title":"Recognition and analyses of EEG & ERP signals related to emotion: from the perspective of psychology","authors":"Yang Yuankui, Z. Jianzhong","doi":"10.1109/ICNIC.2005.1499851","DOIUrl":"https://doi.org/10.1109/ICNIC.2005.1499851","url":null,"abstract":"Electroencephalography (EEG) is widely used to record activities of human brain in the area of psychology for many years. With the development of technology, neural basis of functional areas of emotion processing is revealed gradually. In order to extract the useful information of emotion from the background of EEG signals and noise, we propose to combine methods of psychology and the technology of signal processing such as pattern recognition, etc. In this paper, we first review the psychological methods and signal processing technology in the field of emotion research, and point out the junctions of these two approaches. Secondly, we introduce a method to evaluate emotion competence objectively, which involves the analyses of frequency fluctuations of EEG signals and frontal EEG asymmetry. Then, we take an example of event-related potentials (ERP) study about the face recognition task and the discrimination of sad/happy/neutral emotional facial expressions task. Finally, we indicate the present difficulties in this research area, and advance the possible solution to resolve these problems.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131552548","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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