2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第9页

Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis 附加机械传感器数据对基于肌电图的模式识别系统的影响

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146704

John A. Spanias, A. M. Simon, Kimberly A. Ingraham, L. Hargrove

{"title":"Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis","authors":"John A. Spanias, A. M. Simon, Kimberly A. Ingraham, L. Hargrove","doi":"10.1109/NER.2015.7146704","DOIUrl":"https://doi.org/10.1109/NER.2015.7146704","url":null,"abstract":"Powered lower limb prostheses can improve amputees' ability to traverse stairs and ramps by providing positive mechanical work at the knee and ankle joint. EMG signals have been proposed as one way of providing seamless mode transitions by using them in combination with embedded mechanical sensors as inputs to a pattern recognition system that predicts the user's desired locomotion mode. In this study, we have expanded the amount of mechanical sensor information to include data from an additional five degrees of freedom in the load cell, as well as calculated thigh and shank angles. The purpose of this study was to determine the impact of this additional information on the performance of an EMG-based pattern recognition system designed to predict the desired locomotion mode. Our results indicate that including the additional mechanical sensor signals decreased the error rates of the system for both steady-state and transitional steps when compared to the reduced sensor set. We also found that EMG still decreased the error rate of the system, but to a lesser extent when using the additional mechanical sensors.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 40

Optimizing retinal ganglion cell responses to high-frequency electrical stimulation strategies for preferential neuronal excitation 优化视网膜神经节细胞对高频电刺激策略的反应，优选神经元兴奋

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146607

Tianruo Guo, N. Lovell, D. Tsai, Perry Twyford, S. Fried, J. Morley, G. Suaning, S. Dokos

引用次数: 6

Effects of stratum corneum and conductive gel properties on sensory afferents recruitment by 3D TENS computational modeling 角质层和导电凝胶性质对感觉传入神经募集的影响

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146670

U. K. Zhu, P. Li, G. Chai, X. Sui

{"title":"Effects of stratum corneum and conductive gel properties on sensory afferents recruitment by 3D TENS computational modeling","authors":"U. K. Zhu, P. Li, G. Chai, X. Sui","doi":"10.1109/NER.2015.7146670","DOIUrl":"https://doi.org/10.1109/NER.2015.7146670","url":null,"abstract":"Incorporation of tactile sensory feedback by non-invasive transcutaneous electrical nerve stimulation (TENS) is potentially helpful for a prosthetic hand to accomplish dexterous manipulation. As for TENS through surface electrode, the stimulating current flows directly through the conductive gel and the stratum corneum (SC) layers to activate the tactile afferent nerve fibers. In our study the specific modulation effect of recruiting afferent nerve fibers in the two layers was investigated by establishing a 3D finite element model of the forearm. The results showed that both decreasing the gel thickness and increasing the gel resistivity improved the electrical stimulation sensitivity for electrotactile feedback, which would be beneficial to lower the threshold current of TENS. Meanwhile, decreasing the SC resistivity was also beneficial to improve the electrical stimulation sensitivity, but the variations of the normal SC thickness had negligible influence on the sensitivity. On one hand, these results gave us a specific guidance for choosing appropriate property parameters for conductive gel. On the other hand, both the thickness and resistivity of SC were susceptible to age, gender, and physical conditions etc., so it was significant for us to comprehend specific modulation effect under variation of SC properties.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Affective state characterization based on electroencephalography graph-theoretic features 基于脑电图图论特征的情感状态表征

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146688

Rishabh Gupta, T. Falk

{"title":"Affective state characterization based on electroencephalography graph-theoretic features","authors":"Rishabh Gupta, T. Falk","doi":"10.1109/NER.2015.7146688","DOIUrl":"https://doi.org/10.1109/NER.2015.7146688","url":null,"abstract":"Affective states are typically characterized using spectral power information obtained from electroencephalography (EEG) data collected over specific brain regions. However, while experiencing a complex emotional audio-video stimuli, brain networks transfer information in a highly interactive manner. To characterize this information, we propose using graph theoretical features. Towards this end, first, we established graph theoretical features as meaningful correlates of affective states through Pearson correlation. Then we compared the classification performance of these features with that of conventional spectral power features where percentage increases in classification performance of 7% and 11% were found in arousal and valence, respectively. Moreover, feature level fusion was explored and resulted in better performance as compared to the feature sets alone thus, highlighting the complementarity of EEG graph based features and spectral powers. Overall it is hoped that this study will enhance affective state evaluation via passive brain computer interfaces, thus leading to a plethora of applications such as user experience perception modelling and affective indexing/tagging of videos, to name a few.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"83 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

In vitro biological assessment of electrode materials for neural interfaces 神经界面电极材料的体外生物学评价

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146656

Aaron D. Gilmour, J. Goding, L. Poole-Warren, C. Thomson, R. Green

{"title":"In vitro biological assessment of electrode materials for neural interfaces","authors":"Aaron D. Gilmour, J. Goding, L. Poole-Warren, C. Thomson, R. Green","doi":"10.1109/NER.2015.7146656","DOIUrl":"https://doi.org/10.1109/NER.2015.7146656","url":null,"abstract":"The development of the next generation electrode interfaces for neural prosthetic devices requires high-through-put multifaceted testing strategies to assess material interactions with both peripheral and central nervous system (CNS) immune cells. The utility of a primary astrocyte enriched glial cell culture was assessed as a potential in vitro tool for understanding the immune response to electrode materials. Conductive polymer consisting of electropolymerized poly(3,4-ethylenedioxythiophene) (PEDOT) doped with paratoluene sulfonate (pTS) was used as a novel electrode material and compared to the conventional electrode material, platinum (Pt). Morphology of astrocytes and microglia in contact with the materials was analyzed and compared to an immunoassay of TNFα release from human blood plasma. While all electrode materials failed to stimulate TNFα release from human leukocytes, the materials in contact with glial cells resulted in progressive reactive gliosis. This primary astrocyte in vitro assay provides insight into the degeneration of electrode performance in vivo as a result of scar tissue reactions in chronic implant devices. It also highlights the relevance of testing for immune reactions with an appropriate cell system.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121350280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Investigating the temporal dynamics of auditory cortical activation to silent lipreading 研究无声唇读时听觉皮层激活的时间动态

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146621

Michael J. Crosse, H. ElShafei, John J. Foxe, E. Lalor

{"title":"Investigating the temporal dynamics of auditory cortical activation to silent lipreading","authors":"Michael J. Crosse, H. ElShafei, John J. Foxe, E. Lalor","doi":"10.1109/NER.2015.7146621","DOIUrl":"https://doi.org/10.1109/NER.2015.7146621","url":null,"abstract":"Neuroimaging research has demonstrated that observing visual speech in the absence of auditory speech activates primary auditory cortex. However, it remains unclear what this activation precisely reflects. It is well established that, during continuous auditory speech, neural activity in auditory cortex tracks the temporal envelope of the speech signal. Recently, it has been suggested that this process may in fact reflect an internal synthesis of the speech stream rather than the encoding of the envelope per se. Could silent lipreading therefore elicit a similar “entrainment” to the envelope in the absence of auditory speech? Here, we test this hypothesis by examining the impact of lipreading accuracy on envelope tracking using electroencephalography (EEG). We provide evidence to suggest that the EEG response over left temporal scalp tracks the unheard speech more faithfully during accurate lipreading. We also demonstrate that the envelope can be reconstructed from EEG data recorded during silent lipreading with accuracy above chance level. This could have implications for brain-computer interface technology.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122293042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Effect of interoception on intra- and inter-network connectivity of human brain — An independent component analysis of fMRI data 内感受对人脑内网络和网络间连通性的影响——fMRI数据的独立成分分析

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146624

B. Jarrahi, D. Mantini, S. Kollias

{"title":"Effect of interoception on intra- and inter-network connectivity of human brain — An independent component analysis of fMRI data","authors":"B. Jarrahi, D. Mantini, S. Kollias","doi":"10.1109/NER.2015.7146624","DOIUrl":"https://doi.org/10.1109/NER.2015.7146624","url":null,"abstract":"Most stimuli in the viscera do not reach conscious perception, although they may activate some cortical structures. However, recent evidences suggest that various forms of subliminal interoceptive inputs may influence brain function. In this study, we used spatial independent component analysis (ICA) as a multivariate method to investigate the effect of interoception on the intra- and inter-network connectivity of the human brain. 15 healthy participants were scanned during the resting-state and a visceral stimulation task. Following a recently suggested ICA framework, we applied a high model order ICA of 75 to the fMRI data, and identified 34 components as non-artifactual intrinsic connectivity networks (ICNs). Results demonstrate significant intra-network connectivity difference within the salience network (SN) and the default mode network (p <; 0.05, family-wise error corrected). Significant inter-network connectivity differences were also found for several ICN pairs, most notably between the SN and the frontoparietal central executive network, and between the SN and the limbic association network (p<;0.05, false discovery rate corrected for multiple comparisons). Taken together, these observations suggest significant effect of interoception on the network connectivity architecture of the human brain especially involving the SN when compared to the resting-state baseline.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126923121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A brain-to-sonar electronic interface to bypass peripheral auditory system in rats 绕过大鼠外周听觉系统的脑-声纳电子接口

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146557

A. Fiorillo, S. Pullano, M. Menniti, R. Citraro, G. Sarro, E. Russo

引用次数: 4

Gaze based robot control: The communicative approach 基于注视的机器人控制:交流方法

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146732

A. A. Fedorova, S. Shishkin, Yuri O. Nuzhdin, B. Velichkovsky

引用次数: 7

Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms 基于Morlet小波和通用空间模式算法的EEG-BCI数据高效手部运动图像解码

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146782

A. Ferrante, Constantinos Gavriel, A. Faisal

{"title":"Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms","authors":"A. Ferrante, Constantinos Gavriel, A. Faisal","doi":"10.1109/NER.2015.7146782","DOIUrl":"https://doi.org/10.1109/NER.2015.7146782","url":null,"abstract":"EEG-based Brain Computer Interfaces (BCIs) are quite noisy brain signals recorded from the scalp (electroencephalography, EEG) to translate the user's intent into action. This is usually achieved by looking at the pattern of brain activity across many trials while the subject is imagining the performance of an instructed action - the process known as motor imagery. Nevertheless, existing motor imagery classification algorithms do not always achieve good performances because of the noisy and non-stationary nature of the EEG signal and inter-subject variability. Thus, current EEG BCI takes a considerable upfront toll on patients, who have to submit to lengthy training sessions before even being able to use the BCI. In this study, we developed a data-efficient classifier for left/right hand motor imagery by combining in our pattern recognition both the oscillation frequency range and the scalp location. We achieve this by using a combination of Morlet wavelet and Common Spatial Pattern theory to deal with nonstationarity and noise. The system achieves an average accuracy of 88% across subjects and was trained by about a dozen training (10-15) examples per class reducing the size of the training pool by up to a 100-fold, making it very data-efficient way for EEG BCI.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"740 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126497273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19