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

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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
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。
Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A Sommer, Dana H Brooks, Deniz Erdoğmuş, Eugene Tunik
{"title":"An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex.","authors":"Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A Sommer, Dana H Brooks, Deniz Erdoğmuş, Eugene Tunik","doi":"10.1109/ner.2019.8717159","DOIUrl":"10.1109/ner.2019.8717159","url":null,"abstract":"<p><p>Current knowledge of coordinated motor control of multiple muscles is derived primarily from invasive stimulation-recording techniques in animal models. Similar studies are not generally feasible in humans, so a modeling framework is needed to facilitate knowledge transfer from animal studies. We describe such a framework that uses a deep neural network model to map finite element simulation of transcranial magnetic stimulation induced electric fields (E-fields) in motor cortex to recordings of multi-muscle activation. Critically, we show that model generalization is improved when we incorporate empirically derived physiological models for E-field to neuron firing rate and low-dimensional control via muscle synergies.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"1122-1125"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430757/pdf/nihms-1613867.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38281733","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。
Jesse Cornman, Aadeel Akhtar, Timothy Bretl
{"title":"A Portable, Arbitrary Waveform, Multichannel Constant Current Electrotactile Stimulator.","authors":"Jesse Cornman,&nbsp;Aadeel Akhtar,&nbsp;Timothy Bretl","doi":"10.1109/NER.2017.8008350","DOIUrl":"https://doi.org/10.1109/NER.2017.8008350","url":null,"abstract":"<p><p>In this paper, we present the design and performance of a portable, arbitrary waveform, multichannel constant current electrotactile stimulator that costs less than $30 in components. The stimulator consists of a stimulation controller and power supply that are less than half the size of a credit card and can produce ±15 mA at ±150 V. The design is easily extensible to multiple independent channels that can receive an arbitrary waveform input from a digital-to-analog converter, drawing only 0.9 W/channel (lasting 4-5 hours upon continuous stimulation using a 9 V battery). Finally, we compare the performance of our stimulator to similar stimulators both commercially available and developed in research.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2017 ","pages":"300-303"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2017.8008350","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35664426","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
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。
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,&nbsp;Sahar A Khan,&nbsp;Wasif A Khan,&nbsp;Wen Li,&nbsp;Erin K Purcell","doi":"10.1109/NER.2017.8008315","DOIUrl":"10.1109/NER.2017.8008315","url":null,"abstract":"<p><p>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.</p>","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。
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":"10.1109/NER.2017.8008367","url":null,"abstract":"<p><p>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.</p>","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://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557341/pdf/emss-73642.pdf","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: 0
Canonical Correlation to Estimate the Degree of Parkinsonism from Local Field Potential and Electroencephalographic Signals. 从局部场电位和脑电图信号估计帕金森病程度的典型相关。
Teresa H Sanders, Annaelle Devergnas, Thomas Wichmann, Mark A Clements
{"title":"Canonical Correlation to Estimate the Degree of Parkinsonism from Local Field Potential and Electroencephalographic Signals.","authors":"Teresa H Sanders,&nbsp;Annaelle Devergnas,&nbsp;Thomas Wichmann,&nbsp;Mark A Clements","doi":"10.1109/NER.2013.6695896","DOIUrl":"https://doi.org/10.1109/NER.2013.6695896","url":null,"abstract":"<p><p>In this study, modulation index (MI) features derived from local field potential (LFP) recordings in the subthalamic nucleus (STN) and electroencephalographic recordings (EEGs) from the primary motor cortex are shown to correlate with both the overall motor impairment and motor subscores in a monkey model of parkinsonism. The MI features used are measures of phase-amplitude cross frequency coupling (CFC) between frequency sub-bands. We used complex wavelet transforms to extract six spectral sub-bands within the 3-60 Hz range from LFP and EEG signals. Using the method of canonical correlation, we show that weighted combinations of the MI features in LFP or EEG signals correlate significantly with individual and composite scores on a scale for parkinsonian disability.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"158-161"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2013.6695896","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34333049","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: 9
Biological Restraint on the Izhikevich Neuron Model Essential for Seizure Modeling. 癫痫发作模型所必需的Izhikevich神经元模型的生物抑制。
Beata Strack, Kimberle M Jacobs, Krzysztof J Cios
{"title":"Biological Restraint on the Izhikevich Neuron Model Essential for Seizure Modeling.","authors":"Beata Strack,&nbsp;Kimberle M Jacobs,&nbsp;Krzysztof J Cios","doi":"10.1109/ner.2013.6695955","DOIUrl":"https://doi.org/10.1109/ner.2013.6695955","url":null,"abstract":"<p><p>We propose a simple modification of the Izhikevich neuron model to restrict firing rates of neurons. We demonstrate how this modification affects overall network activity using a simple artificial network. Such restraint on the Izhikevich neuron model would be especially important in larger scale simulations or when frequency dependent short-term plasticity is one of the network components. Although maximum firing rates are most likely exceeded in simulations of seizure like activity or other conditions that promote excessive excitation, we show that restriction of neuronal firing frequencies has impact even on small networks with moderate levels of input.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2013 ","pages":"395-398"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner.2013.6695955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9363659","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: 4
Simulating lesions in multi-layer, multi-columnar model of neocortex. 用多层、多柱状新皮层模型模拟病变。
Beata Strack, Kimberle M Jacobs, Krzysztof J Cios
{"title":"Simulating lesions in multi-layer, multi-columnar model of neocortex.","authors":"Beata Strack,&nbsp;Kimberle M Jacobs,&nbsp;Krzysztof J Cios","doi":"10.1109/ner.2013.6696064","DOIUrl":"https://doi.org/10.1109/ner.2013.6696064","url":null,"abstract":"<p><p>The paper presents results of modeling global and focal loss of layers in a multi-columnar model of neocortex. Specifically, the spread of activity across columns in conditions of inhibitory blockade is compared. With very low inhibition activity spreads through all layers, however, deep layers are critical for spread of activity when inhibition is only moderately blocked.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2013 ","pages":"835-838"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ner.2013.6696064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9347533","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: 2
Electrochemical sensing via selective surface modification of iridium microelectrodes to create a platinum black interface. 电化学传感通过选择性表面修饰的铱微电极创造一个铂黑界面。
Paras R Patel, Matthew D Gibson, Kip A Ludwig, Nicholas B Langhals
{"title":"Electrochemical sensing via selective surface modification of iridium microelectrodes to create a platinum black interface.","authors":"Paras R Patel,&nbsp;Matthew D Gibson,&nbsp;Kip A Ludwig,&nbsp;Nicholas B Langhals","doi":"10.1109/NER.2013.6696095","DOIUrl":"https://doi.org/10.1109/NER.2013.6696095","url":null,"abstract":"<p><p>The ability to selectively deposit platinum black (PtB) on iridium microelectrodes and functionalize the surface for the purposes of choline sensing was investigated in this study. Platinum black was deposited by cycling 100-200 times between 0.5 V and -0.7 V in a solution of 1 mM K<sub>2</sub>PtCl<sub>6</sub> in 0.1 M KCl. Deposition of PtB showed good chemical stability as well as good adhesion following insertion into agarose gel as a model for brain insertion. Electrode sites were also tested for their oxidative capabilities of hydrogen peroxide during which they showed high current change in response to small concentration changes - attributable to the high surface area of the PtB. Sites were then coated with an enzyme solution containing choline oxidase, and a permselective layer of meta-phenylenediamine was added to filter interferents. Electrode sites yielded a high sensitivity to choline compared to interferents including ascorbic acid and dopamine.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"961-964"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2013.6696095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32453450","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: 2
Change in physiological signals during mindfulness meditation. 正念冥想时生理信号的变化。
Asieh Ahani, Helane Wahbeh, Meghan Miller, Hooman Nezamfar, Deniz Erdogmus, Barry Oken
{"title":"Change in physiological signals during mindfulness meditation.","authors":"Asieh Ahani,&nbsp;Helane Wahbeh,&nbsp;Meghan Miller,&nbsp;Hooman Nezamfar,&nbsp;Deniz Erdogmus,&nbsp;Barry Oken","doi":"10.1109/NER.2013.6696199","DOIUrl":"https://doi.org/10.1109/NER.2013.6696199","url":null,"abstract":"<p><p>Mindfulness meditation (MM) is an inward mental practice, in which a resting but alert state of mind is maintained. MM intervention was performed for a population of older people with high stress levels. This study assessed signal processing methodologies of electroencephalographic (EEG) and respiration signals during meditation and control condition to aid in quantification of the meditative state. EEG and respiration data were collected and analyzed on 34 novice meditators after a 6-week meditation intervention. Collected data were analyzed with spectral analysis and support vector machine classification to evaluate an objective marker for meditation. We observed meditation and control condition differences in the alpha, beta and theta frequency bands. Furthermore, we established a classifier using EEG and respiration signals with a higher accuracy at discriminating between meditation and control conditions than one using the EEG signal only. EEG and respiration based classifier is a viable objective marker for meditation ability. Future studies should quantify different levels of meditation depth and meditation experience using this classifier. Development of an objective physiological meditation marker will allow the mind-body medicine field to advance by strengthening rigor of methods.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"1738-1381"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2013.6696199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32275706","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: 34
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