2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第4页

Evaluation of a minimally invasive endovascular neural interface for decoding motor activity 微创血管内神经接口对运动活动解码的评估

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8717000

I. Forsyth, Megan Dunston, G. Lombardi, G. Rind, S. Ronayne, Y. Wong, C. May, D. Grayden, T. Oxley, N. Opie, Sam E. John

引用次数: 5

Interactive System for Language and Communication Stimulation Directed to Young Children 针对幼儿的语言和交流刺激互动系统

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8717073

Constanza Vásquez, Jaime Jiménez, M. Guevara, Patricia Cortés, Mitzi Herrera, Enrica Pittaluga, E. Pino, P. Guevara, M. Peña

{"title":"Interactive System for Language and Communication Stimulation Directed to Young Children","authors":"Constanza Vásquez, Jaime Jiménez, M. Guevara, Patricia Cortés, Mitzi Herrera, Enrica Pittaluga, E. Pino, P. Guevara, M. Peña","doi":"10.1109/NER.2019.8717073","DOIUrl":"https://doi.org/10.1109/NER.2019.8717073","url":null,"abstract":"We present an Interactive System for Language and Communication Stimulation (ISLACS) directed to young children. The system is a technological educational application intended to stimulate learning abilities, developed as a native mobile application for devices with Android operating system. It is specially designed for children between 2 and 4 years of age, to stimulate language, contingency and attention, through cognitive tasks in the form of interactive mini-games. The activities teach the association between images with the corresponding infrequently used spoken words, and images of letters with the corresponding sounds (i.e. phonemes). The mini-games are based on multimedia resources, mainly videos of an educator, real objects and animals. The software evaluates progress by measuring interaction parameters such as correct answers and response time and has an algorithm to randomize the trials across children. The application is tested in 314 2-4 year-old children. Each child played a minimum of 8 sessions every other day, each one presenting 6 words and 4 letters, and testing for 3 words and 2 letters. Results showed that ISLACS is an attractive game for young children, which significantly succeeded to teach children the sounds of the letters and a repertory of nearly 48 infrequent words in Spanish, in a brief intervention.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467389","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

Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks 基于脑电图的精神分裂症有效脑连通性的深度神经网络分类

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8717087

C. Phang, C. Ting, S. Samdin, H. Ombao

{"title":"Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks","authors":"C. Phang, C. Ting, S. Samdin, H. Ombao","doi":"10.1109/NER.2019.8717087","DOIUrl":"https://doi.org/10.1109/NER.2019.8717087","url":null,"abstract":"Disrupted functional connectivity patterns have been increasingly used as features in pattern recognition algorithms to discriminate neuropsychiatric patients from healthy subjects. Deep neural networks (DNNs) were employed to fMRI functional network classification only very recently and its application to EEG-based connectome is largely unexplored. We propose a DNN with deep belief network (DBN) architecture for automated classification of schizophrenia (SZ) based on EEG effective connectivity. We used vector-autoregression-based directed connectivity (DC), graph-theoretical complex network (CN) measures and combination of both as input features. On a large resting-state EEG dataset, we found a significant decrease in synchronization of neural oscillations measured by partial directed coherence, and a reduced network integration in terms of weighted degrees and transitivity in SZ compared to healthy controls. The proposed DNN-DBN significantly outperforms three other traditional classifiers, due to its inherent capability as feature extractor to learn hierarchical representations from the aberrant brain network structure. Combined DC-CN features gives further improvement over the raw DC and CN features alone, achieving remarkable classification accuracy of 95% for the theta and beta bands.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114859193","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: 15

Ceramic Packages for Acoustically Coupled Neural Implants 声学耦合神经植入物的陶瓷封装

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8716923

Konlin Shen, M. Maharbiz

{"title":"Ceramic Packages for Acoustically Coupled Neural Implants","authors":"Konlin Shen, M. Maharbiz","doi":"10.1109/NER.2019.8716923","DOIUrl":"https://doi.org/10.1109/NER.2019.8716923","url":null,"abstract":"Recently, ultrasound has emerged as an energy modality for powering and communicating with very small implantable devices. In the academic literature, demonstrated ultrasonically-powered devices have been packaged in polymer encapsulants of various types. Traditional polymeric insulation materials such as parylene and silicone are known to crack, delaminate, or allow water vapor diffusion after implantation. Materials such as ceramics and metals, are much more robust to the biological environment and have significantly lower water vapor permeabilities than polymers. Although ceramics and metals are routinely used in medical implants, it remains to be shown whether packages suitable for efficient acoustic energy transfer and backscatter communication are possible. In this work, we present a hybrid ceramic-metal packaging method for the encapsulation of ultrasonic implants intended for neural applications. Alumina packages are joined to platinum electrodes with an active-braze alloy and laser microwelding is used to seal the package cavity. We show acoustic windows can be engineered into the implant, enabling ultrasonic backscatter communication and opening the possibility of chronically implanted, wireless, leadless, and battery-less, neural interfaces.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133227","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: 7

Neuroprosthetic device for functional training, compensation or rehabilitation of lower limbs during gait 神经义肢装置，用于功能训练，补偿或下肢步态康复

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8717008

M. Loreiro, S. Britez, S. Casco, J. Moreno, José Luis Pons Rovira, F. Brunetti

{"title":"Neuroprosthetic device for functional training, compensation or rehabilitation of lower limbs during gait","authors":"M. Loreiro, S. Britez, S. Casco, J. Moreno, José Luis Pons Rovira, F. Brunetti","doi":"10.1109/NER.2019.8717008","DOIUrl":"https://doi.org/10.1109/NER.2019.8717008","url":null,"abstract":"One of the most promising alternatives to train, compensate or rehabilitate patients after cerebrovascular accidents, spinal cord injuries, head trauma and physiological pathological tremors causing gait disorders are the motor neuroprosthestic devices (NP). However, there are not portable and flexible NP devices capable of fulfilling the requirements of different rehabilitation scenarios. In this work, the novel and flexible H-GAIT NP for lower limbs training and compensation is presented. This NP is able to detect four subphases of gait cycle and provide configurable surface stimulation patterns at each subphase. The H-GAIT NP can stimulate 4 independent channels for each subphase, allowing to reproduce diverse muscle activation patterns that can be needed in different rehabilitation scenarios. In order to validate the concept, several tests were carried on with 5 neuromuscularly intact participants and three different gait speeds in order to validate detection of the subphases. The algorithm showed an acceptable performance (over 95 % of gait subphases successfully detected in all cases at three different gait speeds (0.7, 0.85, and 0.97 m/s). The results were consistent among participants. To show the potential use of the NP in different rehabilitation scenarios, one stimulation profile was configured for hemiplegic gait compensation.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326068","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

EEG-based brain network analysis in stroke patients during a motor execution task 脑卒中患者运动执行任务中基于脑电图的脑网络分析

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8716954

Chunli Zhao, Rihui Li, Chushan Wang, Weitian Huang, Yingchun Zhang

{"title":"EEG-based brain network analysis in stroke patients during a motor execution task","authors":"Chunli Zhao, Rihui Li, Chushan Wang, Weitian Huang, Yingchun Zhang","doi":"10.1109/NER.2019.8716954","DOIUrl":"https://doi.org/10.1109/NER.2019.8716954","url":null,"abstract":"Post-stroke survivors often suffer motor function disorders, which are usually associated with anatomical and functional alterations of brain network. Previous EEG-based brain network analyses mainly focused on stroke-linked brain network in resting state and single aspect (globally or regionally), leaving the pattern of functional connectivity (FC) in stroke patients during specific motion task uncovered yet. In this study, we investigated stroke specific FC patterns in patients who suffered unilateral hemispheric stroke during a motor execution task. Partial correlation coefficients between multiple electroencephalography (EEG) channels were computed to construct the functional networks for healthy controls and stroke patients. The graph-based analysis was then performed to characterize specific FC patterns in stroke patients. Results suggested that brain networks were characterized in stroke patients by lower global efficiency and clustering coefficient in alpha and beta band, compared to healthy controls. Regionally, stroke patients exhibited weaker local connection in motor area of affected hemisphere during motor execution, which may explain their motor deficits. The findings of our study may offer new insight to study the neural plasticity and brain reorganization after stroke.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116635622","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

Graph-based Brain Network Analysis in Epilepsy: an EEG Study 基于图的癫痫脑网络分析:一项脑电图研究

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8716929

Yuejing Hu, Qizhong Zhang, Rihui Li, Thomas Potter, Yingchun Zhang

{"title":"Graph-based Brain Network Analysis in Epilepsy: an EEG Study","authors":"Yuejing Hu, Qizhong Zhang, Rihui Li, Thomas Potter, Yingchun Zhang","doi":"10.1109/NER.2019.8716929","DOIUrl":"https://doi.org/10.1109/NER.2019.8716929","url":null,"abstract":"In order to investigate the alterations of brain network in children with epilepsy during the interictal and ictal periods, partial directed coherence (PDC) was employed as a measure of causality to analyze 22 electroencephalography (EEG) datasets recorded from 10 focal seizure children in this study. Functional brain network during interictal and ictal periods were constructed based on the computed PDC values, from which two graph-based measures, including the degree and clustering coefficient were extracted to assess the functional connectivity in seizure-linked network. Results showed that, compared to interictal period, the regional degree at the center lobe in delta band during the ictal period was significantly reduced. On the contrary, the clustering coefficients in delta band during the ictal period were significantly increased in the frontal, parietal, and temporal lobes. Our findings therefore suggest that ictal state may affect the visual, physical, mental, auditory, and other functions in epileptic children, providing a new perspective to explore the brain network alterations in children with epilepsy.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115030076","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

Semi–Synthetic Dataset for the Evaluation of Motion Compensation Approaches for Voltage Sensitive Dye Imaging 用于评价电压敏感染料成像运动补偿方法的半合成数据集

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8716905

Philipp Flotho, L. Haab, David Eckert, Kazutaka Takahashi, K. Schwerdtfeger, D. Strauss

{"title":"Semi–Synthetic Dataset for the Evaluation of Motion Compensation Approaches for Voltage Sensitive Dye Imaging","authors":"Philipp Flotho, L. Haab, David Eckert, Kazutaka Takahashi, K. Schwerdtfeger, D. Strauss","doi":"10.1109/NER.2019.8716905","DOIUrl":"https://doi.org/10.1109/NER.2019.8716905","url":null,"abstract":"Intracranial, functional optical imaging (OI) of intrinsic signals (like blood oxygenation coupled reflection changes) and of extrinsic properties of voltage sensitive probes (like voltage-sensitive dyes) belongs to a group of invasive neuroimaging techniques with very high temporal and spatial resolutions on a meso–to macroscopic scale. Voltage sensitive dye imaging (VSDI) images brain activity with low temporal delays, but the raw signal has a poor signal to noise ratio.An important pre–processing step for many biomedical imaging techniques is image registration and motion compensation. We can apply motion compensation successfully for optical imaging of intrinsic signals but VSDI recordings have low spatial contrast and often do not contain fine grained texture details which are crucial for successful image based motion compensation. In this work, we design a semi–synthetic dataset based on real recordings and a dummy voltage sensitive dye response for the evaluation of advanced motion compensation strategies for VSDI. This dataset aims to be used as a benchmark for the development of novel motion compensation strategies for VSDI and to derive error bounds of the methodologies with respect to motion.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115473976","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

Neural Correlates of Control of a Kinematically Redundant Brain-Machine Interface* 运动冗余脑机接口控制的神经关联*

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8717010

Albert You, Abhimanyu Singhal, H. Moorman, Suraj Gowda, J. Carmena

{"title":"Neural Correlates of Control of a Kinematically Redundant Brain-Machine Interface*","authors":"Albert You, Abhimanyu Singhal, H. Moorman, Suraj Gowda, J. Carmena","doi":"10.1109/NER.2019.8717010","DOIUrl":"https://doi.org/10.1109/NER.2019.8717010","url":null,"abstract":"Brain-machine interfaces (BMIs) use signals from the brain to control cursors or robotic arms, with potential applications for restoring the ability for users to interact with the physical world around them. BMIs that are kinematically redundant allow for many viable solutions for the same task. While natural motor control involves the coordinated movements of kinematically redundant limbs, it is unclear how the brain might control the redundant degrees of freedom (DOF) in a BMI. In this study, we analyze a previously collected dataset where a macaque controlled a 4 DOF virtual arm in 2D space. A Kalman filter was used to decode neural signals from motor cortices into the four joint angle velocities. The monkey was instructed to move the virtual arm from a center target to eight peripheral targets, distributed evenly around a circle in a self-initiated center-out task. The monkey was able to achieve high accuracy in the task in the first day, but reach times continued to decrease over learning and endpoint trajectories became more stereotyped. We found that the neural activity fired in more correlated patterns over days with increased firing rates, suggesting a consolidation of neural activity into a high-level representation of the joint angles, optimizing endpoint control.","PeriodicalId":356177,"journal":{"name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122680317","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

Cortical Contribution during Active and Passive Pedaling: A Preliminary Study 主动和被动蹬车时皮质的贡献:初步研究

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2019-03-20 DOI: 10.1109/NER.2019.8716964

Shi-Chun Bao, Kenry W. C. Leung, Cheng Chen, K. Tong

引用次数: 2