2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第8页

Wireless for peripheral nerve prosthesis and safety 无线周围神经假体的安全性

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146706

R. Jegadeesan, N. Thakor, S. Yen

引用次数: 1

Participant perspectives from a cortical vision implant study: Ethical and psychological implications 来自皮质视觉植入研究的参与者观点:伦理和心理影响

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146610

F. Lane, Kristian B. Nitsch, P. Troyk

引用次数: 6

Guiding deep brain stimulation contact selection using local field potentials sensed by a chronically implanted device in Parkinson's disease patients 长期植入装置感应局部场电位引导帕金森病患者深部脑刺激接触选择

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146754

Allison T. Connolly, W. Kaemmerer, Siddharth Dani, S. Stanslaski, E. Panken, Matthew D. Johnson, T. Denison

引用次数: 20

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

Intuitive motion classification from EMG for the 3-D arm motions coordinated by multiple DoFs 基于肌电图对多自由度协调的三维手臂运动进行直观分类

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146753

Qin Zhang, C. Xiong, Chengfei Zheng

{"title":"Intuitive motion classification from EMG for the 3-D arm motions coordinated by multiple DoFs","authors":"Qin Zhang, C. Xiong, Chengfei Zheng","doi":"10.1109/NER.2015.7146753","DOIUrl":"https://doi.org/10.1109/NER.2015.7146753","url":null,"abstract":"Surface Electromyography (EMG) has been considered as a viable human-machine interface in the context of human-centered robotics. In order to interpret human muscle activities into motion intentions, various pattern classification methods was proposed for human motion/gesture classification, which provided binary command for myoelectric control. To obtain complex motions coordinated by multiple DoFs, single DoF was usually sequentially classified and activated, which is not intuitive and efficient comparing with the natural motor strategy of the human. In this work, we investigated the motion classification methods from EMG for intuitive and simultaneous activation of multiple DoFs during 3-D arm motions. In the experiments, all motions were performed naturally rather than under the condition of maximum muscle contractions or other kinematic constraints. The combination of two EMG time-domain features after principal component analysis (PCA) processing is considered as the suitable choice considering both the classification accuracy and feasibility for robot control. For the motion classification method, least-square support vector machine (LS-SVM) represents higher classification accuracy for five arm motion classification across eight subjects with respect to other four methods which were popularly used in the previous works. The proposed method is hopefully applied in a EMG-driven simultaneous and proportional kinematics estimation systems for decoding model selection according to the motion intention.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"10 4 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":"116962189","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

A collaborative Brain-Computer Interface for improving group detection of visual targets in complex natural environments 一种用于改善复杂自然环境中视觉目标群体检测的协同脑机接口

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146551

D. Valeriani, R. Poli, C. Cinel

{"title":"A collaborative Brain-Computer Interface for improving group detection of visual targets in complex natural environments","authors":"D. Valeriani, R. Poli, C. Cinel","doi":"10.1109/NER.2015.7146551","DOIUrl":"https://doi.org/10.1109/NER.2015.7146551","url":null,"abstract":"Detecting a target in a complex environment can be a difficult task, both for a single individual and a group, especially if the scene is very rich of structure and there are strict time constraints. In recent research, we have demonstrated that collaborative Brain-Computer Interfaces (cBCIs) can use neural signals and response times to estimate the decision confidence of participants and use this to improve group decisions in visual-matching and visual-search tasks with artificial stimuli. This paper extends that work in two ways. Firstly, we use a much harder target detection task where observers are presented with complex natural scenes where targets are very difficult to identify. Secondly, we complement the neural and behavioural information used in our previous cBCIs with physiological features representing eye movements and eye blinks of participants in the period preceding their decisions. Results obtained with 10 participants indicate that the proposed cBCI improves decision errors by up to 3.4% (depending on group size) over group decisions made by a majority vote. Furthermore, results show that providing the system with information about eye movements and blinks further significantly improves performance over our best previously reported method.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"10 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":"116871754","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: 18

Controlling cell functions by light 通过光控制细胞功能

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146695

G. Lanzani, M. Antognazza, N. Martino, D. Ghezzi, F. Benfenati

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

A novel approach to driving fatigue detection using forehead EOG 基于前额EOG的驾驶疲劳检测新方法

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146721

Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu

引用次数: 52

Rate-dependent hysteresis in the EMG-force relationship: A new discovery in EMG-force relationship 肌电-力关系中速率相关的迟滞:肌电-力关系的新发现

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146749

Lizhi Pan, Dingguo Zhang, X. Sheng, Xiangyang Zhu

{"title":"Rate-dependent hysteresis in the EMG-force relationship: A new discovery in EMG-force relationship","authors":"Lizhi Pan, Dingguo Zhang, X. Sheng, Xiangyang Zhu","doi":"10.1109/NER.2015.7146749","DOIUrl":"https://doi.org/10.1109/NER.2015.7146749","url":null,"abstract":"In this study, we analyzed the existence of rate-dependent hysteresis in the electromyography (EMG)-force relationship. Eight able-bodied subjects participated in the experiment. Surface EMG signals were acquired from flexor pollicis longus muscle from 0% to 100% maximum voluntary contraction (MVC). The subject was asked to gradually increase grasping force from 0% to 100% MVC and decrease grasping force from 100% to 0% MVC at five different frequencies (1.5, 1, 0.5, 0.25 and 0.125 Hz). Mean absolute value (MAV) was chosen to represent the EMG signals and force signals. In order to compare differences in force between contraction and relaxation periods to EMG activity among different frequency conditions, a hysteresis index (HI), defined as an area inside the hysteresis cycle, was adopted. The results showed that all mean values of HI in different frequency conditions were larger than 0, which proved that hysteresis cycles existed in all frequency conditions. The results also showed that the HI values in different frequency conditions were significantly different from each other (p <; 0.005), which proved hysteresis effects in EMG-force relationship were rate-dependent. The rate-dependent hysteresis in EMG-force relationship has a huge potential to improve the estimation performance of grasping force from EMG.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"19 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":"123438290","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