International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering最新文献_第3页

A Novel Biomimetic Stimulator System for Neural Implant. 一种新型神经植入仿生刺激系统。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/NER.2019.8716942

Po-Min Wang, Stanislav Culaclii, William Yang, Yan Long, Jonathan Massachi, Yi-Kai Lo, Wentai Liu

{"title":"A Novel Biomimetic Stimulator System for Neural Implant.","authors":"Po-Min Wang, Stanislav Culaclii, William Yang, Yan Long, Jonathan Massachi, Yi-Kai Lo, Wentai Liu","doi":"10.1109/NER.2019.8716942","DOIUrl":"https://doi.org/10.1109/NER.2019.8716942","url":null,"abstract":"Electrical stimulation using non-periodic biomimetic stimulation pattern has been shown to be effective in various critical biomedical applications. However, the existing programmable stimulators that support this protocol are non-portable and have architectures that are not translatable to wearable or implantable applications. In this work, we present a 32-channel neural stimulator system based on an implantable System-On-Chip (SoC) that addresses these technological challenges. The system is designed to be portable, powered by a single battery, wirelessly controlled, and versatile to perform concurrent multi-channel stimulation with independent arbitrary waveforms. The experimental results demonstrate multi-channel stimulation mimicking electromyography (EMG) waveforms and randomly-spaced stimulation pulses mimicking neuronal firing patterns. This compact and highly flexible prototype can support various neuromodulation researches and animal studies and serves as a precursor for the development of the next generation implantable biomimetic stimulator.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"843-846"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8716942","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37318442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Neuromorphic vision and tactile fusion for upper limb prosthesis control. 用于上肢假肢控制的神经形态视觉与触觉融合。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/ner.2019.8716890

Mark Hays, Luke Osborn, Rohan Ghosh, Mark Iskarous, Christopher Hunt, Nitish V Thakor

{"title":"Neuromorphic vision and tactile fusion for upper limb prosthesis control.","authors":"Mark Hays, Luke Osborn, Rohan Ghosh, Mark Iskarous, Christopher Hunt, Nitish V Thakor","doi":"10.1109/ner.2019.8716890","DOIUrl":"10.1109/ner.2019.8716890","url":null,"abstract":"A major issue with upper limb prostheses is the disconnect between sensory information perceived by the user and the information perceived by the prosthesis. Advances in prosthetic technology introduced tactile information for monitoring grasping activity, but visual information, a vital component in the human sensory system, is still not fully utilized as a form of feedback to the prosthesis. For able-bodied individuals, many of the decisions for grasping or manipulating an object, such as hand orientation and aperture, are made based on visual information before contact with the object. We show that inclusion of neuromorphic visual information, combined with tactile feedback, improves the ability and efficiency of both able-bodied and amputee subjects to pick up and manipulate everyday objects. We discovered that combining both visual and tactile information in a real-time closed loop feedback strategy generally decreased the completion time of a task involving picking up and manipulating objects compared to using a single modality for feedback. While the full benefit of the combined feedback was partially obscured by experimental inaccuracies of the visual classification system, we demonstrate that this fusion of neuromorphic signals from visual and tactile sensors can provide valuable feedback to a prosthetic arm for enhancing real-time function and usability.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2019 ","pages":"981-984"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053366/pdf/nihms-1690724.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10497074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. 基于稀疏多任务反协方差估计的脑电源空间连通性分析。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/NER.2019.8717043

Feng Liu, Emily P Stephen, Michael J Prerau, Patrick L Purdon

{"title":"Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space.","authors":"Feng Liu, Emily P Stephen, Michael J Prerau, Patrick L Purdon","doi":"10.1109/NER.2019.8717043","DOIUrl":"https://doi.org/10.1109/NER.2019.8717043","url":null,"abstract":"Understanding how different brain areas interact to generate complex behavior is a primary goal of neuroscience research. One approach, functional connectivity analysis, aims to characterize the connectivity patterns within brain networks. In this paper, we address the problem of discriminative connectivity, i.e. determining the differences in network structure under different experimental conditions. We introduce a novel model called Sparse Multi-task Inverse Covariance Estimation (SMICE) which is capable of estimating a common connectivity network as well as discriminative networks across different tasks. We apply the method to EEG signals after solving the inverse problem of source localization, yielding networks defined on the cortical surface. We propose an efficient algorithm based on the Alternating Direction Method of Multipliers (ADMM) to solve SMICE. We apply our newly developed framework to find common and discriminative connectivity patterns for α-oscillations during the Sleep Onset Process (SOP) and during Rapid Eye Movement (REM) sleep. Even though both stages exhibit a similar α-oscillations, we show that the underlying networks are distinct.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"299-302"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8717043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37296378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

The Nature of the Task Influences Intrinsic Connectivity Networks: An Exploratory fMRI Study in Healthy Subjects. 任务性质影响内在连通性网络:健康受试者的探索性功能磁共振成像研究。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/NER.2019.8717082

Behnaz Jarrahi, Dante Mantini

{"title":"The Nature of the Task Influences Intrinsic Connectivity Networks: An Exploratory fMRI Study in Healthy Subjects.","authors":"Behnaz Jarrahi, Dante Mantini","doi":"10.1109/NER.2019.8717082","DOIUrl":"https://doi.org/10.1109/NER.2019.8717082","url":null,"abstract":"Task-induced variations in neural activity and their effects on the topological architecture of intrinsic connectivity networks (ICNs) of the brain are still a matter of ongoing research. In this exploratory study, we used spatial independent component analysis (ICA) as a data-driven technique to characterize ICNs related to two different tasks in healthy subjects who underwent 3T blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI). The fMRI tasks consisted of (a) a viscerosensory stimulation of an internal organ (interoceptive task), and (b) passive viewing of emotionally expressive faces and pictures from the International Affective Picture System (exteroceptive emotion task). Comparison of the network volumes and peak activations during each task condition demonstrated that changes in ICN volume and corresponding peak activation differed between the interoceptive and exteroceptive emotion tasks when compared to the baseline rest. Further, salience network was the most task-activated ICN for both fMRI task conditions. However, different spatial characteristics were observed between the salience networks derived from the interoceptive task and the one derived from the exteroceptive emotion task. This study is a step in the direction of better understanding the influence of task condition on ICN topology. Future research with a larger sample size and task variations should delve deeper into what aspects of network topology really matter, with further investigations regarding the observed differences due to gender and age.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"489-493"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8717082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37409397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Filter bank extensions for subject non-specific SSVEP based BCIs 针对主题非特定的基于SSVEP的bci的筛选库扩展

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 DOI: 10.1109/NER.2019.8716945

KIRAN KUMAR G R, M. Reddy

{"title":"Filter bank extensions for subject non-specific SSVEP based BCIs","authors":"KIRAN KUMAR G R, M. Reddy","doi":"10.1109/NER.2019.8716945","DOIUrl":"https://doi.org/10.1109/NER.2019.8716945","url":null,"abstract":"Recently, filter bank analysis has been used in several detection methods to extract selective frequency features across multiple brain computer interface (BCI) modalities due to its effectiveness and simple structure. In this work, we propose filter bank technique as a standard preprocessing method for popular training free multi-channel steady-state visual evoked potential (SSVEP) detection methods to overcome subject-specific performance differences and a general improvement in detection accuracy. Our study validates the effectiveness of filter bank extensions by comparing performance differences of multichannel methods with their filter bank counterparts using a forty target SSVEP benchmark dataset collected across thirty five subjects. The results demonstrate that the proposed two stage (a filter bank stage followed by SSVEP detection) implementation of popular multichannel algorithms provide significant improvement in performance at short datalengths of < 2.75 s (p < 0.001) and can be viewed as a potential standard detection approach across all SSVEP identification problems.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"66 1","pages":"627-630"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83377354","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

An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. 模拟人体运动皮层对经颅磁刺激的多肌肉反应的实验和计算框架。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/ner.2019.8717159

Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A Sommer, Dana H Brooks, Deniz Erdoğmuş, Eugene Tunik

引用次数: 0

Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. 利用低维子空间进行转移学习，以 EMG 为基础对手部姿势进行分类。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/ner.2019.8717180

Sezen Yağmur Günay, Mathew Yarossi, Dana H Brooks, Eugene Tunik, Deniz Erdoğmuş

{"title":"Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture.","authors":"Sezen Yağmur Günay, Mathew Yarossi, Dana H Brooks, Eugene Tunik, Deniz Erdoğmuş","doi":"10.1109/ner.2019.8717180","DOIUrl":"10.1109/ner.2019.8717180","url":null,"abstract":"This study proposes a novel approach for evaluating the task invariance of muscle synergies, vital for potential implementation in improving prosthetic hand control. We do this by using a transfer learning paradigm to test for invariance across a relatively small set of hand/forearm muscle synergies, derived from electromyographic (EMG) activation patterns during voluntary behaviors such as finger spelling and grasp mimicking postures and unconstrained exploration. EMG for each task were decomposed using non-negative matrix factorization into synergy and weight matrices, and cross-task weights for each task were then reconstructed by employing the base matrices from different tasks. Support Vector Machine and Extreme Learning Machine classifiers were used to classify the resulting weights in order to compare their performance, as well as their behaviors as a function of synergy rank. Both algorithms showed robust and significantly higher performance, compared to two distinct randomized controls, with lower rank EMG representations, both within and between tasks/postures, supporting hypotheses of functional invariance of multi-muscle synergies. Our results suggest that this invariance could be leveraged to efficiently calibrate postures for prosthetic hand implementation by transferring learned EMG patterns from unconstrained movements to other tasks.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"1097-1100"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430756/pdf/nihms-1613868.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38281731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Portable, Arbitrary Waveform, Multichannel Constant Current Electrotactile Stimulator. 一种便携式、任意波形、多通道恒流电触觉刺激器。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-05-01 Epub Date: 2017-08-15 DOI: 10.1109/NER.2017.8008350

Jesse Cornman, Aadeel Akhtar, Timothy Bretl

引用次数: 6

Neuronal excitability and network formation on optically transparent electrode materials. 神经元的兴奋性和在光学透明电极材料上的网络形成。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-05-01 Epub Date: 2017-08-15 DOI: 10.1109/NER.2017.8008315

Cort H Thompson, Sahar A Khan, Wasif A Khan, Wen Li, Erin K Purcell

{"title":"Neuronal excitability and network formation on optically transparent electrode materials.","authors":"Cort H Thompson, Sahar A Khan, Wasif A Khan, Wen Li, Erin K Purcell","doi":"10.1109/NER.2017.8008315","DOIUrl":"10.1109/NER.2017.8008315","url":null,"abstract":"With the advent of genetically-encoded optical tools to trigger or report neuronal activity, new designs for multielectrode arrays (MEAs) used in neural interfacing incorporate both optical and electrical modes of stimulating or recording neural activity. Likewise, the need to improve upon the biocompatibility of implanted MEAs has moved the field towards the use of softer, more compliant materials in device fabrication. However, there is limited available information on the impact of the materials used in MEAs on the function of interfaced individual neurons and neuronal networks. We assessed the responses of rat cortical neurons on optically transparent materials commonly used in the construction of \"next-generation\" devices: indium tin oxide (ITO), parylene-C, and polydimethylsiloxane (PDMS). We found that neuronal network formation and spiking responses to electrical stimulation were enhanced in neurons cultured on ITO. We observed reduced excitability and synaptic connectivity between neurons cultured on PDMS. We hypothesize that the superior conductivity of ITO and suboptimal neuronal attachment to PDMS contributed to our results.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2017 ","pages":"154-157"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2017.8008315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36598650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Continuous Force Decoding from Deep Brain Local Field Potentials for Brain Computer Interfacing. 脑深部局部场电位连续力解码的脑机接口。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-01-01 DOI: 10.1109/NER.2017.8008367

Syed A Shah, Huiling Tan, Peter Brown

{"title":"Continuous Force Decoding from Deep Brain Local Field Potentials for Brain Computer Interfacing.","authors":"Syed A Shah, Huiling Tan, Peter Brown","doi":"10.1109/NER.2017.8008367","DOIUrl":"https://doi.org/10.1109/NER.2017.8008367","url":null,"abstract":"Current Brain Computer Interface (BCI) systems are limited by relying on neuronal spikes and decoding limited to kinematics only. For a BCI system to be practically useful, it should be able to decode brain information on a continuous basis with low latency. This study investigates if force can be decoded from local field potentials (LFP) recorded with deep brain electrodes located at the Subthalamic nucleus (STN) using data from 5 patients with Parkinson's disease, on a continuous basis with low latency. A Wiener-Cascade (WC) model based decoder was proposed using both time-domain and frequency-domain features. The results suggest that high gamma band (300-500Hz) activity, in addition to the beta (13-30Hz) and gamma band (55-90Hz) activity is the most informative for force prediction but combining all features led to better decoding performance. Furthermore, LFP signals preceding the force output by up to 1256 milliseconds were found to be predictive of the force output.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2017 ","pages":"371-374"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2017.8008367","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35422180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11