2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第10页

Evaluation of the feasibility of a novel distance adaptable steady-state visual evoked potential based brain-computer interface 一种新型距离自适应稳态视觉诱发电位脑机接口的可行性评价

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146559

Chi-Hsu Wu, H. Lakany

{"title":"Evaluation of the feasibility of a novel distance adaptable steady-state visual evoked potential based brain-computer interface","authors":"Chi-Hsu Wu, H. Lakany","doi":"10.1109/NER.2015.7146559","DOIUrl":"https://doi.org/10.1109/NER.2015.7146559","url":null,"abstract":"Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has attracted great attention in BCI research due to its advantages over the other electroencephalography (EEG) based BCI paradigms, such as high speed, high signal to noise ratio, high accuracy, commands scalability and minimal user training time. Several studies have demonstrated that SSVEP BCI can provide a reliable channel to the users to communicate and control an external device. While most SSVEP based BCI studies focus on encoding the visual stimuli, enhancing the signal detection and improving the classification accuracy, there is a need to bridge the gap between BCI “bench” research and real world application. This study proposes a novel distance adaptable SSVEP based BCI paradigm which allows its users to operate the system in a range of viewing distances between the user and the visual stimulator. Unlike conventional SSVEP BCI where users can only operate the system at a fixed distance in front of the visual stimulator, users can operate the proposed BCI at a range of viewing distances. 10 healthy subjects participated in the experiment to evaluate the feasibility of the proposed SSVEP BCI. The visual stimulator was presented to the subjects at 4 viewing distances, 60cm, 150cm, 250cm and 350cm. The mean classification accuracy across the subjects and the viewing distances is over 75%. The results demonstrate the feasibility of a distance adaptable SSVEP based BCI.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"32 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":"127894160","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: 1

Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization 通过系统验证和多目标多层次优化，实现自下而上复杂多尺度模型的可预测性最大化

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146619

Jean-Marie C. Bouteiller, Zhuobo Feng, A. Onopa, Mike Huang, Eric Y. Hu, Endre T. Somogyi, M. Baudry, Serge Bischoff, T. Berger

{"title":"Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization","authors":"Jean-Marie C. Bouteiller, Zhuobo Feng, A. Onopa, Mike Huang, Eric Y. Hu, Endre T. Somogyi, M. Baudry, Serge Bischoff, T. Berger","doi":"10.1109/NER.2015.7146619","DOIUrl":"https://doi.org/10.1109/NER.2015.7146619","url":null,"abstract":"Computational models are mathematical representations meant to replicate the biological system they represent, as well as provide insights and predict the system's dynamics in response to changing conditions. In a bottom-up modeling approach, a multitude of models may be compounded to represent more complex higher level biological systems. However, guaranteeing the validity and predictability of the compounded ensemble may become increasingly challenging as more components are integrated. We herein present a sequential and iterative method to maximize predictability of a complex multiscale model. We have successfully developed a multiscale modeling platform comprised of mechanisms ranging from the biomolecular level to multi-cellular networks. To maintain a high level of predictability of the global platform, we introduce a systematic approach to not only validate all models independently, but also verify the validity of compounded models as additional information becomes available at higher levels of complexity. Iterative and systematic application of these validation steps at increasing levels of complexity is intended to maximize the predictive power of the platform, making it a powerful tool to study the impacts of low-levels modifications (pathologies, drugs, etc.) on higher functional levels. The work presented lays down the rationale of the approach, the open design implementation and results.","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":"127750462","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: 4

Long-term paired sensory stimulation training for improved motor imagery BCI performance via pavlovian conditioning theory 基于巴甫洛夫条件反射理论的长期配对感觉刺激训练对运动意象脑机接口表现的改善

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146567

Lin Yao, Tao Xie, Xiaokang Shu, X. Sheng, Dingguo Zhang, Xiangyang Zhu

引用次数: 1

New sectorized implantable microelectrode fabrication, packaging and ageing for neural sensing and stimulation 用于神经传感和刺激的新型扇形植入微电极的制造、包装和老化

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146660

F. Bottausci, F. Baleras, Catherine Pudda, M. Cochet, Claude Chabrol, F. Sauter-Starace, Julie Oziat, Maelys Rovetta, B. Icard, D. Guiraud, J. Divoux, C. Malbert, C. Henry, S. Maubert

引用次数: 2

Video game speech rehabilitation for velopharyngeal dysfunction: Feasibility and pilot testing 视频游戏对腭咽功能障碍的言语康复:可行性和试点测试

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146747

Meredith J. Cler, Graham E. Voysey, C. Stepp

引用次数: 1

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

Classification of motor unit activity following targeted muscle reinnervation 定向肌肉神经再支配后运动单元活动的分类

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146707

Tamas Kapelner, N. Jiang, I. Vujaklija, O. Aszmann, A. Holobar, D. Farina

{"title":"Classification of motor unit activity following targeted muscle reinnervation","authors":"Tamas Kapelner, N. Jiang, I. Vujaklija, O. Aszmann, A. Holobar, D. Farina","doi":"10.1109/NER.2015.7146707","DOIUrl":"https://doi.org/10.1109/NER.2015.7146707","url":null,"abstract":"For the past six decades, signal processing methods for myoelectric control of prostheses consisted mainly of calculating time- and frequency domain features of the EMG signal. This type of feature extraction considers the surface EMG as colored noise, neglecting its generation as a sum of motor unit activities. In this study we propose the use of motor unit behavior for classifying motor tasks with the aim of myoelectric control. We recorded high-density surface EMG of three patients who underwent targeted muscle reinnervation, and decomposed these signals into motor unit spike trains using an automatic offline EMG decomposition method. From the motor unit spike trains we used the number of discharges in each analysis interval as a feature for a support vector machine classifier. The same classifier was used for discriminating classic time-domain EMG features, for comparison. Classification accuracy was greater for motor unit information than for the classic features (97.06%±1.74 vs 85.01%±13.66), especially when the number of classes was high (95.11% ± 1.74 vs 69.25% ± 4.04 for 11 classes). These results suggest that the identification of motor unit activity from surface EMG can be a powerful way for pattern recognition in targeted muscle reinnervation patients.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"9 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":"134211622","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: 11

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

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

Role of major burst leaders in modular hippocampal networks 模块化海马体网络中主要突发先导的作用

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146677

M. Bisio, Valentina Pasquale, A. Bosca, L. Berdondini, M. Chiappalone

{"title":"Role of major burst leaders in modular hippocampal networks","authors":"M. Bisio, Valentina Pasquale, A. Bosca, L. Berdondini, M. Chiappalone","doi":"10.1109/NER.2015.7146677","DOIUrl":"https://doi.org/10.1109/NER.2015.7146677","url":null,"abstract":"The development of in vitro neuronal models constituted by patterned networks is of significant interest in the neuroscientific community and requires the convergence of electrophysiological studies with micro/nano-fabrication techniques. In this paper we make use of a methodology to induce self-organization of networks into two connected sub-populations grown onto commercially available Micro Electrode Arrays (MEAs) in order to understand the role of `burst leaders' in generating the collective synchronous events (i.e. network bursts) spontaneously arising in dissociated cultures. Considering the multitude of connections shown by uniform neuronal cultures, the restraint of neurite outgrowth along specific pathways ensures a considerable control over network complexity. Here we exploit this topological configuration to investigate whether and how network burst generation is affected by the development of the network. Our results constitute important evidence that engineered neuronal networks are a powerful platform to systematically approach questions related to the dynamics of neuronal assemblies.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"6 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":"124045918","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: 0