2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第2页

Combining Generalized Eigenvalue Decomposing with Laplacian Filtering to Improve Cortical Decoding Performance 结合广义特征值分解与拉普拉斯滤波提高皮质解码性能

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441165

Abed Khorasani, S. Samejima, V. Shalchyan, M. Daliri, C. Moritz

引用次数: 0

LFP based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation 基于LFP的脑损伤麻醉动物闭环皮质内刺激分析

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441266

F. Barban, Alberto Averna, M. Murphy, M. Carè, R. Nudo, D. Guggenmos, M. Chiappalone

{"title":"LFP based analysis of brain injured anesthetized animals undergoing closed-loop intracortical stimulation","authors":"F. Barban, Alberto Averna, M. Murphy, M. Carè, R. Nudo, D. Guggenmos, M. Chiappalone","doi":"10.1109/NER49283.2021.9441266","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441266","url":null,"abstract":"Acquired brain injuries, such as stroke, are a major cause of long-term disability worldwide. When an injury occurs within primary motor cortex (M1) there is both a loss of descending information to the spinal cord and a disruption in the communication within and between spared regions, which can lead to hemiparesis and other motor dysfunctions. Recently, activity-dependent stimulation (ADS), a closed loop intracortical neurostimulation technique, was shown to significantly improve behavioural recovery in rodent models following a unilateral traumatic brain injury in the primary motor cortex. While behavioural benefits of this approach have been described, the neurophysiological changes have not yet been fully characterized. In this study, we investigated how neural activity in the form of local field potential (LFP) was impacted by an ischemic lesion and how it changed following prolonged ADS sessions. Intracortical microelectrodes arrays were used to record and stimulate from the rostral forelimb area (RFA) and the primary somatosensory cortex (S1) of 12 rats (Long Evans). An ischemic injury induced with Endothelin-1 microinjections in the caudal forelimb area (CFA) was used as an injury model. We found that the ET-1 caused lesion led to widespread drop of LFP power across all the frequency bands in both the monitored areas. The lesion did not change the functional connectivity within the brain areas, while it increased the synchronization between them. Following stimulation, LFP power generally increased in both areas. Stimulation also led to a decrement in connectivity between S1 and RFA, while causing the within S1 connectivity to increase.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247477","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

Miniature EMG Sensors for Prosthetic Applications 用于假肢的微型肌电传感器

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441111

A. Marinelli, N. Boccardo, M. Semprini, A. Succi, M. Canepa, Samuel Stedman, L. Lombardi, Alberto Dellacasa Bellingegni, M. Chiappalone, E. Gruppioni, M. Laffranchi, L. Michieli

{"title":"Miniature EMG Sensors for Prosthetic Applications","authors":"A. Marinelli, N. Boccardo, M. Semprini, A. Succi, M. Canepa, Samuel Stedman, L. Lombardi, Alberto Dellacasa Bellingegni, M. Chiappalone, E. Gruppioni, M. Laffranchi, L. Michieli","doi":"10.1109/NER49283.2021.9441111","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441111","url":null,"abstract":"Poly-articulated, myoelectric hand prostheses reproduce complex multi-degree of freedom movements. Typically, a pattern recognition algorithm translates the recorded electromyographic (EMG) activity into joint movements. Control algorithms may benefit by adding more EMG sensors, however, their mechanical integration within the socket strongly affects the physical robustness of the prosthetic system. Their typical size and rectangular shape are indeed nonoptimal for the limited amount of space within the socket. To solve this issue, here we present and test custom-made sensors for decoding multi-joint hand movements from EMG recordings of arm muscles. The sensors have circular shape and smaller size with respect to their standard counterpart, thus allowing a higher number of channels for multi-DOF control strategies. In order to evaluate their performance for multi-joint decoding, we tested a Non-Linear Logistic Regression classifier on both healthy and amputated subjects. We optimized the classifier in terms of F1Score, depending on the number of EMG sensors, and in terms of Embedding Optimization Factor, depending on the polynomial complexity degree. We then compared performance with that of standard rectangular EMG sensors and found no significant difference. Our custom-made sensors achieved higher F1Score for all the patients. This result, coupled with more effective integration with the socket, suggests effective prosthetic applications for our sensors.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803695","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

Effects of Low-intensity Focused Ultrasound Stimulation On Working Memory in Vascular Dementia Rats 低强度聚焦超声刺激对血管性痴呆大鼠工作记忆的影响

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441177

Jiajia Yang, Qian Wang, Faqi Wang, Ling Wang, Dong Ming

引用次数: 0

A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials 单目标和多目标刺激诱发稳态视觉诱发电位的比较研究

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441135

Chuyang Xiao, Kuan-Jung Chiang, M. Nakanishi, T. Jung

{"title":"A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials","authors":"Chuyang Xiao, Kuan-Jung Chiang, M. Nakanishi, T. Jung","doi":"10.1109/NER49283.2021.9441135","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441135","url":null,"abstract":"A visual stimulator plays an important role in a steady-state visual evoked potential (SSVEP)-based braincomputer interface (BCI). In conventional BCI studies, SSVEPs have been elicited by either a single stimulus whose flickering frequency varies across trials or multiple stimuli flickering at different frequencies simultaneously. It has been implicitly assumed that the SSVEPs generated by the single- and multiple-target stimulation methods are comparable. However, no study has directly compared their efficacy in eliciting SSVEPs. This study, therefore, performed a quantitative comparison of signal-to-noise ratio (SNR) and classification accuracy using 4-class SSVEPs generated by these two methods. The classification accuracy was estimated by three commonly-used target identification algorithms including calibration-free canonical correlation analysis (CCA)-based method and template-based methods with CCA- and task-related component analysis (TRCA)-based spatial filters. The results showed that the single-target stimulation method led to significantly higher SNR and classification accuracy than its multi-target counterpart.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130991387","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

Motor imagery performance from calibration to online control in EEG-based brain-computer interfaces 基于脑电图的脑机接口的运动图像性能从校准到在线控制

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441142

Mahta Mousavi, V. D. Sa

引用次数: 3

Unsupervised Quantification of High-Gamma Activity in Electrocorticographic Signals 皮质电信号中高伽马活动的无监督量化

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441139

Johannes Gruenwald, C. Kapeller, K. Kamada, J. Scharinger, C. Guger

引用次数: 1

Inertial Stabilization of Upright Posture while walking 行走时直立姿势的惯性稳定

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441114

J. Quintanilla, Moises Perez, Rodolfo Balderas, Alejandro González, A. Cárdenas, M. Maya, D. Piovesan

引用次数: 1

A stepping stone to enable preclinical evaluation of multimodal thin-film probes in small animal models 一个踏脚石，使临床前评估的多模态薄膜探针在小动物模型

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441332

D. A. Vajari, Maria Vomero, V. Coenen, T. Stieglitz

{"title":"A stepping stone to enable preclinical evaluation of multimodal thin-film probes in small animal models","authors":"D. A. Vajari, Maria Vomero, V. Coenen, T. Stieglitz","doi":"10.1109/NER49283.2021.9441332","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441332","url":null,"abstract":"The successful translation of novel implantable technologies to clinical applications demands the comprehensive preclinical evaluation of the devices in vivo. This work aims to facilitate such translation by proposing a miniaturized multimodal thin-film deep brain stimulation ($mu$ DBS) device, tailored to rodent anatomy. The device was realized by incorporating glassy carbon (GC) electrodes into a thin-film polyimide-based substrate. The finished probe featured nine GC active sites with diameters ranging from $50 mu mathrm{m}$ to $300 mu mathrm{m}$. The performed fast scan cyclic voltammetry revealed a dopamine sensitivity of $12.63 pm 2.19 text{nA} mu mathrm{M}^{-1}, 20.72pm 4.33 text{nA} mu mathrm{M}^{-1}, 135.44+8.24 text{nA} mu mathrm{M}^{-1}$, and $68.50 pm 3.42 mu mathrm{M}^{-1}$ for electrodes with diameter of $50 mu mathrm{m}, 100 mu mathrm{m}, 200 mu mathrm{m}$, and $300 mumathrm{m}$, respectively. The in vitro characterization assessed the $mutext{DBS}$ probe's ability to address electrical stimulation - in addition to neurochemical sensing - in a single integrated device. Future evaluation of the $mu$-DBS probes as a multimodal platform in animal models remains to be the next step in this path.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116854843","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

A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback 一种基于脉冲列车距离的可扩展感官反馈刺激模式选择算法

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2021-05-04 DOI: 10.1109/NER49283.2021.9441155

Mark M. Iskarous, Sriramana Sankar, Qianwei Li, Christopher L. Hunt, N. Thakor

{"title":"A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback","authors":"Mark M. Iskarous, Sriramana Sankar, Qianwei Li, Christopher L. Hunt, N. Thakor","doi":"10.1109/NER49283.2021.9441155","DOIUrl":"https://doi.org/10.1109/NER49283.2021.9441155","url":null,"abstract":"In this work, we develop an algorithm to optimally select a set of output spiking channels from a set of input sensing channels in order to deliver naturalistic sensory feedback to an amputee. The growing discrepancy between the number of sensing channels (~103) and the number of stimulation channels (~102) in neural interface devices leads to a combinatorially explosive search problem that quickly becomes intractable through brute force methods. This algorithm is tested using a dataset of 13 textures that was collected using a tactile sensor array with 9 tactile pixels (taxels). The sensor readings are transformed into neuron-like (neuromorphic) spiking activity that resemble the output of slowly adapting (SA) and rapidly adapting (RA) mechanoreceptors in the skin which encode different features of tactile information. The channel selection algorithm uses a spike train distance metric to create an optimal set of output channels that are highly differentiated and complementary. The effectiveness of the channel selection algorithm is tested by comparing texture classification performance between the chosen set and a set of random channels. The selected channels have slightly better classification accuracy but a much smaller standard deviation. As the input channels get noisier and grow in number, the channel selection algorithm will provide even better accuracy in comparison to random selection and much lower computational cost in comparison to brute force search. This work paves the way to provide sensory feedback systems that will deliver more informative stimulation patterns to amputees.","PeriodicalId":413977,"journal":{"name":"2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119519","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