2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献

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A preliminary study on the relationship between grip force and muscle thickness 握力与肌肉厚度关系的初步研究
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008306
Xingchen Yang, Yuefeng Li, Yinfeng Fang, Honghai Liu
{"title":"A preliminary study on the relationship between grip force and muscle thickness","authors":"Xingchen Yang, Yuefeng Li, Yinfeng Fang, Honghai Liu","doi":"10.1109/NER.2017.8008306","DOIUrl":"https://doi.org/10.1109/NER.2017.8008306","url":null,"abstract":"In this study, we propose a novel method to explore the relationship between grip force and forearm muscle thickness during isometric contraction. One-directional ultrasound was used to detect the depth of muscle-bone interface. By tracking the movement of this interface, the change of muscle thickness can be calculated. A dynamometer was used to measure force. Three able-bodied subjects were asked to gradually increase grasping force from 0% to 40% maximum voluntary contraction (MVC) and decrease grasping force from 40% to 0% MVC following the guiding patterns on the screen, 4 channels of one-directional ultrasound signals on the forearm were recorded in the meanwhile. The relationship between extensor digitorum muscle and grip force was analyzed and the results showed that the relationship between this muscle and grip force can be represented with two exponential functions, with averaged R2 value of 0.982. And the existence of hysteresis in the muscle thickness-force relationship is discovered. These relationships have potential importance on grip force estimation.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134315270","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
Mimicking natural neural encoding through retinal electrostimulation 通过视网膜电刺激模拟自然神经编码
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008346
Tianruo Guo, A. Barriga-Rivera, G. Suaning, D. Tsai, S. Dokos, J. Morley, N. Lovell
{"title":"Mimicking natural neural encoding through retinal electrostimulation","authors":"Tianruo Guo, A. Barriga-Rivera, G. Suaning, D. Tsai, S. Dokos, J. Morley, N. Lovell","doi":"10.1109/NER.2017.8008346","DOIUrl":"https://doi.org/10.1109/NER.2017.8008346","url":null,"abstract":"Retinal neuroprostheses or ‘bionic eyes’, aim to restore patterned vision to those with vision loss by electrically stimulating the remaining neurons in the degenerate retina. Despite considerable progress over the last two decades, such devices generally stimulate indiscriminately both the ‘ON’ and ‘OFF’ visual pathways in the retina, conveying highly non-physiological signals to the brain.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131128888","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
Optimizing visual comfort and classification accuracy for a hybrid P300-SSVEP brain-computer interface 混合P300-SSVEP脑机接口视觉舒适性和分类精度优化
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008365
Minpeng Xu, Jin Han, Yijun Wang, Dong Ming
{"title":"Optimizing visual comfort and classification accuracy for a hybrid P300-SSVEP brain-computer interface","authors":"Minpeng Xu, Jin Han, Yijun Wang, Dong Ming","doi":"10.1109/NER.2017.8008365","DOIUrl":"https://doi.org/10.1109/NER.2017.8008365","url":null,"abstract":"Visual brain-computer interfaces (BCIs) have achieved great progress in speed recently. But the problem of visual fatigue caused by intense flashes poses a great challenge in designing practical systems for long-term use. A direct way to improve visual comfort is to reduce the stimulus contrast. But it could also weaken the featured evoked potentials, which would bring a negative impact on system accuracy. Thus it's significant to figure out the optimal contrast that could have both high visual comfort and high accuracy. This study investigated the effects of different stimulus contrasts on the two aspects. Six hybrid P300-SSVEP spellers were developed with different stimulus contrasts. Three subjects spelled 10 same characters offline for each speller. After each spelling subjects were asked to grade the flashes they just met in terms of visual comfort. Stepwise linear discriminant analysis (SWLDA) was used to recognize the P300 potential; the filter bank canonical correlation analysis (FBCCA) with individual template was adopted to classify the SSVEP. A decision fusion was performed to recognize the target. The results showed that, compared with P300 or SSVEP only features, the hybrid features significantly improved the accuracy. The subjects felt more comfortable for contrasts below 25%. The classification accuracy wouldn't have a great loss unless the contrast was below 12%. Taken together, the optimal contrast was 12% for the hybrid P300-SSVEP BCI system in this study.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129237092","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
Electrical analysis of minocycline eluting layer-by-layer thin-films from functional micro-electrode arrays 从功能微电极阵列逐层洗脱米诺环素薄膜的电学分析
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008336
Matthew D. McDermott, Kaitlynn P. Olczak, K. Otto
{"title":"Electrical analysis of minocycline eluting layer-by-layer thin-films from functional micro-electrode arrays","authors":"Matthew D. McDermott, Kaitlynn P. Olczak, K. Otto","doi":"10.1109/NER.2017.8008336","DOIUrl":"https://doi.org/10.1109/NER.2017.8008336","url":null,"abstract":"Although the potential for intracortical implanted microelectrodes has been demonstrated, successful clinical translation has been hindered by their inability to function over clinically relevant time-points (years to decades). Failure of implanted microelectrode arrays (MEA's) has been highly correlated with the foreign body response which progressively encapsulates the MEA's in a glial sheath, isolating them from the surrounding microenvironment. To mitigate this response, drug delivery has been implemented to release therapeutics from the device surface. This has allowed limited success at acute time points; however, challenges in maintaining longterm therapeutic dosages has resulted in an inability to mitigate chronic inflammation. A recent publication has demonstrated the use of multi-layer film composed of dextran-sulfate, minocycline hydrochloride (MH), and gelatin type A, assembled via layer-by-layer technology, capable of providing sustained release of MH for several weeks; however, their impact on functionality has not yet been analyzed. We found that after being coated with 20 layers NeuroNexus devices exhibited significantly increased impedance at 100Hz, 1kHz, and 10kHz, though this was significantly reduced after 24-hours of incubation in PBS. Charge carrying capacity also significantly increased after incubation in PBS. It can be concluded that these coatings do influence MEA's immediately after coating, but is less impactful over time as the coating degrades.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121232560","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
BNEL_VP: An image processing toolbox for visual prostheses 视觉假体的图像处理工具箱
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008389
Hossam H. Abolfotuh, A. Jawwad, Bassem A. Abdullah, Hani M. K. Mahdi, S. Eldawlatly
{"title":"BNEL_VP: An image processing toolbox for visual prostheses","authors":"Hossam H. Abolfotuh, A. Jawwad, Bassem A. Abdullah, Hani M. K. Mahdi, S. Eldawlatly","doi":"10.1109/NER.2017.8008389","DOIUrl":"https://doi.org/10.1109/NER.2017.8008389","url":null,"abstract":"Visual prosthesis opens new perspectives in the field of restoring vision for blind people. It aims to bypass the defective stages of the natural visual pathway and to provide proper inputs to the later stages. The starting point of any visual prosthesis is an image processing model which is typically performed in two phases: Feature extraction to highlight the important information of visual scene, followed by a visual pathway stimulation which replaces the functionality of the defective stages of the visual pathway. This paper introduces a MATLAB toolbox for visual prostheses to handle all the required image processing. This toolbox supports the most common image processing techniques needed for both static and dynamic scenes recognition. In addition, it supports different kinds of visual prostheses like retinal and thalamic visual prostheses depending on how deep the visual stimulation phase will go. The paper demonstrates the value of the toolbox through a case study in which it was used for a simulated thalamic visual prosthesis.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116120377","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
Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training 深度信念网络训练中有限精度算法的动态点随机舍入算法
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008430
M. Essam, T. Tang, Eric Tatt Wei Ho, Hsin Chen
{"title":"Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training","authors":"M. Essam, T. Tang, Eric Tatt Wei Ho, Hsin Chen","doi":"10.1109/NER.2017.8008430","DOIUrl":"https://doi.org/10.1109/NER.2017.8008430","url":null,"abstract":"This paper reports how to train a Deep Belief Network (DBN) using only 8-bit fixed-point parameters. We propose a dynamic-point stochastic rounding algorithm that provides enhanced results compared to the existing stochastic rounding. We show that by using a variable scaling factor, the fixed-point parameter updates are enhanced. To be more hardware amenable, the use of common scaling factor at each layer of DBN is further proposed. Using publicly available MNIST database, we show that the proposed algorithm can train a 3-layer DBN with an average accuracy of 98.49%, with a drop of 0.08% from the double floating-point average accuracy.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247262","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
Desynchronizing of noisy neuron networks using reinforcement learning 基于强化学习的噪声神经元网络去同步
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008349
Meili Lu, Xile Wei
{"title":"Desynchronizing of noisy neuron networks using reinforcement learning","authors":"Meili Lu, Xile Wei","doi":"10.1109/NER.2017.8008349","DOIUrl":"https://doi.org/10.1109/NER.2017.8008349","url":null,"abstract":"Mitigating pathological synchrony of neurons in basal ganglia networks was considered as one of the potential mechanisms of deep brain stimulation (DBS) in treating Parkinson's disease. Motivated by reducing the energy of external stimuli, optimal control strategies are presented to regulate DBS waveform so as to mitigate synchronous oscillations of neural networks with fewer energy expenditure. In this paper, the adaptive optimal control of DBS based on reinforcement learning (RL) is designed to desynchronizing phase models of neural populations in the presence of noise. Numerical simulations show the effectiveness of the proposed method. Moreover, the influence of noise intensity on the control performance of the controller is analyzed.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123259453","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
Characterization of retinal tissue and vitreous humor with Electrical Impedance Spectroscopy 用电阻抗谱分析视网膜组织和玻璃体
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008323
S. Biswas, D. Das, M. Mahadevappa, Soumen Das
{"title":"Characterization of retinal tissue and vitreous humor with Electrical Impedance Spectroscopy","authors":"S. Biswas, D. Das, M. Mahadevappa, Soumen Das","doi":"10.1109/NER.2017.8008323","DOIUrl":"https://doi.org/10.1109/NER.2017.8008323","url":null,"abstract":"Electrical impedance spectroscopy is used to study the retina and the vitreous humor which can help in designing retinal stimulation experiments. Electrical stimulation of retina is done to artificially stimulate retinal neurons for restoring vision in blind patients. The stimulus is given through microelectrodes which are placed over the retina. Since retina is an inhomogeneous conductive medium with ionic species as charge carriers, electrical characterization of the retina as well as the tissue interface is required. Vitreous humor comes in between tissue and electrode which has properties different from that of retina. Change in vitreous properties can alter the experimental results for stimulation of the retina. Thus calculation of electrical properties of both vitreous and retinal tissue are necessary for designing of stimulus parameters. Goat retina is used in this study for characterization which can help in further using this animal in stimulation experiments. It has been found that the RGC side of isolated retina has lower resistance to current flow compared to the photoreceptor side. It has also been found that changes in the vitreous properties that might affect the tissue stimulation parameters can be measured through impedance spectroscopy.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773650","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
Scaling models for microfabricated in vivo neural recording technologies 微加工体内神经记录技术的缩放模型
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008321
J. Scholvin, C. Fonstad, E. Boyden
{"title":"Scaling models for microfabricated in vivo neural recording technologies","authors":"J. Scholvin, C. Fonstad, E. Boyden","doi":"10.1109/NER.2017.8008321","DOIUrl":"https://doi.org/10.1109/NER.2017.8008321","url":null,"abstract":"Microfabrication technology can enable extracellular neural recording electrodes with unprecedented wiring density, and the ability to benefit from continued CMOS technology scaling. A neural recording electrode consists of recording sites that sense electrical activity inside the brain, and wiring that routes these signals to neural amplifiers outside the brain. We here introduce a scalable circuit model for recording sites and signal routing, valid for different amplifier integration approaches. We define noise and cross-talk requirements, and analyze how future CMOS technology scaling will drive the ability to record from increasingly large number of sites in the mammalian brain. This analysis provides an important step in understanding how advances of MEMS and CMOS fabrication can be utilized in large-scale recording efforts of many thousands to possibly millions of neurons.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994454","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
Identification of sensory information in mixed nerves using multi-channel cuff electrodes for closed loop neural prostheses 多通道袖带电极用于闭环神经假体混合神经感觉信息的识别
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008372
E. Brunton, Christoph W. Blau, C. Silveira, K. Nazarpour
{"title":"Identification of sensory information in mixed nerves using multi-channel cuff electrodes for closed loop neural prostheses","authors":"E. Brunton, Christoph W. Blau, C. Silveira, K. Nazarpour","doi":"10.1109/NER.2017.8008372","DOIUrl":"https://doi.org/10.1109/NER.2017.8008372","url":null,"abstract":"The addition of sensory feedback is expected to greatly enhance the performance of motor neuroprostheses. In the case of stroke or spinal cord injured patients, sensory information can be obtained from electroneurographic (ENG) signals recorded from intact nerves in the non-functioning limb. Here, we aimed to identify sensory information recorded from mixed nerves using a multi-channel cuff electrode. ENG afferent signals were recorded in response to mechanical stimulation of the foot corresponding to three different functional types of sensory stimuli, namely: nociception, proprioception and touch. Offine digital signal processing was used to extract features for use as inputs for classification. A quadratic support vector machine was used to classify the data and the five fold cross validation error was measured. The results show that classification of nociceptive and proprioceptive stimuli is feasible, with cross validation errors of less than 10%. However, further work is needed to determine whether the touch information can be extracted more reliably from these recordings.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125141932","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: 6
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