2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第2页

Modulation of beta power in EEG during discrete and continuous motor imageries 离散和连续运动图像中脑电信号的调制

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008358

Sébastien Rimbert, C. Lindig-León, Mariia Fedotenkova, L. Bougrain

引用次数: 6

Computational model for intercellular communication between DRG neurons via satellite glial cells using ATP DRG神经元通过卫星胶质细胞利用ATP进行细胞间通讯的计算模型

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008434

Darshan Mandge, Archita Bhatnagar, R. Manchanda

{"title":"Computational model for intercellular communication between DRG neurons via satellite glial cells using ATP","authors":"Darshan Mandge, Archita Bhatnagar, R. Manchanda","doi":"10.1109/NER.2017.8008434","DOIUrl":"https://doi.org/10.1109/NER.2017.8008434","url":null,"abstract":"Satellite glial cells (SGCs) are supporting cells enveloping and isolating soma of neurons in sensory ganglia such as dorsal root ganglion (DRG) in the peripheral nervous system. Recent studies have shown that they are involved in intercellular communication between neuronal somata within ganglia in chronic pain and inflammatory conditions. One hypothesis proposed for this communication is via release of adenosine triphosphate (ATP) into extracellular region between soma and its SGCs. ATP release activates adjacent SGCs which then transfer their activity to other non-activated SGCs via gap junctions. The activated SGCs then release ATP into the extracellular space surrounding the inactive soma leading to its activation. We tested this hypothesis by using a model with 2 DRG neuron somata, their adjacent SGCs connected via gap junctions. All cells were endowed with P2X3 receptor (for ATP) along with release and uptake mechanisms of ATP. The model showed that release of ATP from one DRG neuron soma can induce activity in the neighbouring neuron soma via SGCs. Hence, neuromodulation of the components of such communication can be explored for pain relief.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123302383","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

Using bilateral lower limb kinematic and myoelectric signals to predict locomotor activities: A pilot study 利用双侧下肢运动学和肌电信号预测运动活动:一项初步研究

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008301

Blair H. Hu, Elliott J. Rouse, L. Hargrove

{"title":"Using bilateral lower limb kinematic and myoelectric signals to predict locomotor activities: A pilot study","authors":"Blair H. Hu, Elliott J. Rouse, L. Hargrove","doi":"10.1109/NER.2017.8008301","DOIUrl":"https://doi.org/10.1109/NER.2017.8008301","url":null,"abstract":"Active lower limb exoskeletons can provide assistance to the lower extremities and may drastically improve the walking abilities of millions of individuals with gait impairments. However, most currently available control systems for these devices cannot predict the user's intended movements and have yet to enable walking with seamless transitions. Recent developments in intent recognition for active lower limb prostheses have demonstrated that using kinematic and kinetic signals from the device and myoelectric signals from the user can provide an intuitive control interface for seamlessly transitioning between different locomotor activities. In this work, we determined the baseline performance of intent recognition systems using neuromechanical signals presumably accessible for controlling active lower limb exoskeletons. We collected bilateral lower limb joint kinematics and muscle activity from three able-bodied subjects while they walked on level ground, ramps, and stairs in order to train an intent recognition system. We found that both combining kinematic and myoelectric signals and including signals from the contralateral leg significantly improved intent recognition performance. We achieved an average offline prediction error rate of 1.4 ± 0.90% using bilateral kinematic and myoelectric signals, demonstrating the promising potential of translating prosthesis-based intent recognition as an alternative control strategy for active lower limb exoskeletons.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438129","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

The feasibility of utilizing EEG-fNIRS to characterize the cortical activation difference between healthy subjects and post-stroke patients 利用脑电图-近红外光谱(EEG-fNIRS)表征健康受试者与脑卒中后患者皮质激活差异的可行性

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8094112

Rihui Li, Weitian Huang, Dandan Lou, Guangming Zhu, Tingting Zhang, Yingchun Zhang

引用次数: 8

Learning based image segmentation of post-operative CT-images: A hydrocephalus case study 基于学习的术后ct图像分割:一例脑积水病例研究

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008280

V. Cherukuri, P. Ssenyonga, B. Warf, A. Kulkarni, V. Monga, S. Schiff

{"title":"Learning based image segmentation of post-operative CT-images: A hydrocephalus case study","authors":"V. Cherukuri, P. Ssenyonga, B. Warf, A. Kulkarni, V. Monga, S. Schiff","doi":"10.1109/NER.2017.8008280","DOIUrl":"https://doi.org/10.1109/NER.2017.8008280","url":null,"abstract":"Accurate estimation of volumes for cerebrospinal fluid (CSF) and brain before and after surgery (pre-op and post-op) plays an important role in analyzing treatment for hydrocephalus. This in turn, relies upon segmentation of brain imagery into brain tissue and CSF. Segmentation of preop images is a relatively straightforward problem and has been well researched. However, segmenting post-op CT-scans becomes challenging due to distorted anatomy and subdural hematoma collections pressing on the brain. Most intensity and feature based segmentation methods fail to separate subdurals from brain and CSF as subdural geometry varies greatly across different patients and their intensity varies with time. We combat this problem by a learning approach that treats segmentation as supervised classification at the pixel level, i.e. a training set of CT scans with labeled pixel identities is employed. Inspired by sparsity constrained classification, our central contribution is a dictionary learning framework that learns class (segment) specific dictionaries that can efficiently represent test samples from the same class while poorly represent corresponding samples from other classes. Because discriminating features are discovered automatically, we call our method feature learning for image segmentation (FLIS). Experiments performed on infant CT brain images acquired from CURE children0s hospital of Uganda reveal the success of our method against existing alternatives.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134563753","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: 5

Identification of gait-related brain activity using electroencephalographic signals 利用脑电图信号识别与步态相关的大脑活动

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008410

Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, I. Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, N. Thakor, Anastasios Bezerianos, Junhua Li

{"title":"Identification of gait-related brain activity using electroencephalographic signals","authors":"Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, I. Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, N. Thakor, Anastasios Bezerianos, Junhua Li","doi":"10.1109/NER.2017.8008410","DOIUrl":"https://doi.org/10.1109/NER.2017.8008410","url":null,"abstract":"Restoring normal walking abilities following the loss of them is a challenge. Importantly, there is a growing need for a better understanding of brain plasticity and the neural involvements for the initiation and control of these abilities so as to develop better rehabilitation programmes and external support devices. In this paper, we attempt to identify gait-related neural activities by decoding neural signals obtained from electroencephalography (EEG) measurements while subjects performed three types of walking: without exoskeleton (free walking), and with exoskeleton support (zero force and assisting force). An average classification accuracy of 92.0% for training and 73.8% for testing sets was achieved using features extracted from mu and beta frequency bands. Furthermore, we found that mu band features contributed significantly to the classification accuracy and were localized mainly in sensorimotor regions that are associated with the control of the exoskeleton. These findings contribute meaningful insight on the neural dynamics associated with lower limb movements and provide useful information for future developments of orthotic devices and rehabilitation programs.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122756","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: 5

Does frequency resolution affect the classification performance of steady-state visual evoked potentials? 频率分辨率是否影响稳态视觉诱发电位的分类性能?

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-25 DOI: 10.1109/NER.2017.8008360

M. Nakanishi, Yijun Wang, Yu-Te Wang, T. Jung

{"title":"Does frequency resolution affect the classification performance of steady-state visual evoked potentials?","authors":"M. Nakanishi, Yijun Wang, Yu-Te Wang, T. Jung","doi":"10.1109/NER.2017.8008360","DOIUrl":"https://doi.org/10.1109/NER.2017.8008360","url":null,"abstract":"Multi-target stimulus coding plays an important role in a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). In conventional SSVEP-based BCIs, a large interval between two neighboring stimulus frequencies is often used to improve classification accuracy. Although recent progresses in stimulus coding and target identification methods that have significantly improved the accuracy even with a high-frequency resolution (e.g., 0.2 Hz), the effects of frequency resolution on classification performance have not been systematically and statistically explored. This study compared the classification accuracy of SSVEPs with five different frequency resolutions (0.2 Hz, 0.4 Hz, 0.6 Hz, 0.8 Hz, and 1.0 Hz) using three (one unsupervised and two supervised) target identification methods. Eight-class SSVEP data were extracted from a 40-class SSVEP dataset for each condition according to the five frequency resolutions. The results showed no significant difference between frequency resolutions when combining joint frequency-phase modulation (JFPM) coding and template-based target identification methods. The results suggested that the number of commands (i.e., visual stimuli) in an SSVEP-based BCI could be increased without compromising the information transfer rate of the BCI.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903649","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

Mechanical deformation and chemical degradation of thin-film platinum under aging and electrical stimulation 老化和电刺激下铂薄膜的机械变形和化学降解

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008318

J. Pfau, T. Stieglitz, J. Ordonez

{"title":"Mechanical deformation and chemical degradation of thin-film platinum under aging and electrical stimulation","authors":"J. Pfau, T. Stieglitz, J. Ordonez","doi":"10.1109/NER.2017.8008318","DOIUrl":"https://doi.org/10.1109/NER.2017.8008318","url":null,"abstract":"Miniaturization of electrodes is a prerequisite of selective and targeted interaction with single neurons, enabling more applications in the continuously growing field of neuroprostheses. Miniaturization in all three dimensions of the electrical contact sites should maintain or increase longevity and electrical functionality. The thin-film metallization of the electrode site, which is only a couple of hundreds of nanometers thick, has to withstand high chemical load through the corrosive environment in the body and the electrochemical processes during electrical stimulation in vivo. Platinum (Pt), which is known to be chemically inert and mechanical stable as bulk material shows a lack of chemical and mechanical integrity applied in thin-film microelectrodes. In our study we investigated failure mechanisms of thin-film Pt electrodes under conditions of electrode aging and electrical stimulation in different physiological media. To understand and eventually overcome stability loss, we investigated the intrinsic structural stress and deformations that arose from mechanical loading through chemical impact and electrical stimulation using optical microscopy and white-light interferometry. Electrochemical measurements indicated oxidation and surface roughening as two of the degradation processes in thin-film electrodes. From the results presumptions about the underlying microstructural changes were made.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"4 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":"121144049","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

Retinotopy within rat primary visual cortex in response to electrical stimulation of the retina 视网膜电刺激对大鼠初级视觉皮层视网膜切除的影响

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008385

K. Nimmagadda, J. Weiland

引用次数: 1

Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke 基于NIRS-EEG联合成像的非侵入性脑刺激在缺血性脑卒中神经能量闭环控制中的应用

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2017-05-01 DOI: 10.1109/NER.2017.8008362

A. Lühmann, Jessica Addesa, S. Chandra, Abhijit Das, M. Hayashibe, Anirban Dutta

{"title":"Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke","authors":"A. Lühmann, Jessica Addesa, S. Chandra, Abhijit Das, M. Hayashibe, Anirban Dutta","doi":"10.1109/NER.2017.8008362","DOIUrl":"https://doi.org/10.1109/NER.2017.8008362","url":null,"abstract":"Stroke can be defined as a sudden onset of neurological deficits caused by a focal injury to the central nervous system from a vascular cause. In ischemic stroke (∼87% of all strokes) and transient ischemic attack (TIA), the blood vessel carrying blood to the brain is blocked causing deficit in the glucose supply - the main energy source. Here, neurovascular coupling (NVC) mechanism links neural activity with the corresponding blood flow that supplies glucose and oxygen for neuronal energy. Brain accounts for about 25% of total glucose consumption while being 2% of the total body weight. Therefore, a deficit in glucose supply can quickly change brain's energy supply chain that can be transient (in TIA) or longer lasting (in stroke, vascular dementia). Here, implications of the failure of brain's energy supply chain can be dysfunctional brain networks in cerebrovascular diseases. Using near-infrared spectroscopy (NIRS) in conjunction with electroencephalography (EEG), a non-invasive, real-time and point of care method to monitor the neuroenergetic status of the cortical gray matter is proposed. Furthermore, we propose that NIRS-EEG joint-imaging can be used to dose non-invasive brain stimulation (NIBS) - transcranial direct current stimulation (tDCS) and photobiomodulation - which may be able to provide therapeutic options for patients with energetic insufficiency by modulating the cortical neural activity and hemodynamics.","PeriodicalId":142883,"journal":{"name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"84 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":"127134955","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