Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.最新文献

筛选
英文 中文
Design of a Wideband Power-Efficient Inductive Wireless Link for Implantable Biomedical Devices Using Multiple Carriers 基于多载波的植入式生物医学设备宽带高能效感应无线链路设计
S. Atluri, Maysam Ghovanloo
{"title":"Design of a Wideband Power-Efficient Inductive Wireless Link for Implantable Biomedical Devices Using Multiple Carriers","authors":"S. Atluri, Maysam Ghovanloo","doi":"10.1109/CNE.2005.1419677","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419677","url":null,"abstract":"This paper presents a novel design for wireless transmission of power and bidirectional data to biomedical implantable microelectronic devices using multiple carrier frequencies. Two separate pairs of coils have been utilized for inductive power and forward data transmission. A back telemetry link is established with a pair of patch antennas in the industrial-scientific-medical (ISM) band. Achieving high power transmission efficiency and high data transmission bandwidth with minimum bit error rate (BER) are the main goals in this application. One of the major challenges is to minimize the interference among carriers especially on the implantable side, where size and power are highly limited. The planar power coils are spiral shaped, and optimized in size to provide maximum coupling coefficient. The data coils are designed rectangular across the power coils diameter and oriented at right angles to the power coils planes to maximize their direct coupling, while minimize their cross-coupling with the power coils. The power, forward data, and back telemetry carriers, which are orders of magnitude different in amplitude, are widely separated in frequency at 125 kHz, 50 MHz, and 2.45 GHz range to further reduce the interference and facilitate filtering. Robust modulation and encoding techniques are currently under development to minimize the effects of interference even further","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128250408","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: 59
Development of a neuroprosthesis for restoring arm and hand function via functional electrical stimulation following high cervical spinal cord injury 高颈脊髓损伤后通过功能性电刺激恢复手臂和手部功能的神经假体的开发
R. Kirsch, K. Kilgore, D. Blana, D. Tyler, K. Polasek, M.R. Williams
{"title":"Development of a neuroprosthesis for restoring arm and hand function via functional electrical stimulation following high cervical spinal cord injury","authors":"R. Kirsch, K. Kilgore, D. Blana, D. Tyler, K. Polasek, M.R. Williams","doi":"10.1109/CNE.2005.1419661","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419661","url":null,"abstract":"This paper describes the development of an implanted neuroprosthesis for restoring hand and arm function to individuals with high level tetraplegia resulting from C1-C4 spinal cord injury. These individuals have complete paralysis below the level of the neck and are thus highly disabled. The neuroprosthesis under development will restore basic upper extremity movements needed for simple yet important daily activities such as eating and grooming. Simulations performed with a musculoskeletal model of the shoulder and elbow indicate that existing stimulation technology using a realistic number of stimulation channels should be sufficient for providing these functions. The neuroprosthesis will utilize 24 channels of stimulation, muscle-based electrodes for stimulation of hand muscles, and nerve cuff electrodes for stimulation of shoulder and elbow muscles. The two implanted stimulators also include a total of four implanted bipolar EMG recording channels that sample activity in neck and facial muscles. These signals, along with measurements of head orientation, will provide the user command interface for this system","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130513720","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: 13
A Low-Power Spike Detection and Alignment Algorithm 一种低功耗尖峰检测与对齐算法
A. Zviagintsev, Y. Perelman, R. Ginosar
{"title":"A Low-Power Spike Detection and Alignment Algorithm","authors":"A. Zviagintsev, Y. Perelman, R. Ginosar","doi":"10.1109/CNE.2005.1419621","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419621","url":null,"abstract":"Front-end integrated circuits for signal processing are useful in neuronal recording systems that engage a large number of electrodes. Detecting, alignment, and sorting the spike data at the front-end reduces the data bandwidth and enables wireless communication. Without such data reduction, large data volumes need to be transferred to a host computer and typically heavy cables are required which constrain the patient or test animal. Front-end processing circuits can dissipate only a limited amount of power, due to supply constraints and heat restrictions. Reduced complexity spike detection and alignment algorithm and architecture, based on integral transform, are introduced. They achieve 99% of the precision of a PCA detector, while requiring only 0.05% of the computational complexity","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283072","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
Biohybrid Retinal Implant: Research and Development Update in 2005 生物杂交视网膜植入物:2005年研究进展
Tohru Yagi, M. Watanabe, Yasushi Ohnishi, Shigeru Okuma, Toshiharu Mukai
{"title":"Biohybrid Retinal Implant: Research and Development Update in 2005","authors":"Tohru Yagi, M. Watanabe, Yasushi Ohnishi, Shigeru Okuma, Toshiharu Mukai","doi":"10.1109/CNE.2005.1419603","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419603","url":null,"abstract":"Since the mid-90's, our research group has been developing a biohybrid retinal implant, which is a visual prosthesis that combines microelectromechanical system (MEMS) technology and regenerative medicine. In this implant, the neural axons attached on the MEMS are guided toward the central nervous system (CNS) by a peripheral nerve graft. Because neurons form functional connections between the MEMS and the CNS, electrical stimulation causes the neurons in the biohybrid retinal implant to send visual information to the CNS. Our recent research has included the first prototype of bio-MEMS, the development of various micro/nanoelectrode arrays, in vitro nerve cell culture and axon guidance experiments on the fabricated electrode array, in vivo electrical stimulation experiments, and various computer simulations including the psychophysical evaluation of reading ability with a visual prosthesis simulator","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125499673","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: 10
32-Channel Full Customized CMOS Biosensor Chip for Extracellular Neural Signal Recording 32通道全定制CMOS生物传感器芯片,用于细胞外神经信号记录
Xin Zhang, J. Daly, Yong Cao
{"title":"32-Channel Full Customized CMOS Biosensor Chip for Extracellular Neural Signal Recording","authors":"Xin Zhang, J. Daly, Yong Cao","doi":"10.1109/CNE.2005.1419711","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419711","url":null,"abstract":"In this paper we present a full-customized CMOS biosensor integrated circuit (IC) design, layout, and implementation techniques for extracellular multichannel action potential recording applications. Schematics and simulation data for each of the sub-circuit macros are presented which includes contact sensors, unity gain buffer, variable gain amplifier and logic control unit. The chip provides a satisfactory signal-to-noise ratio for neural signals with amplitudes in the range of 50-500 muV and frequency spectrum in the range of 20-2000 Hz. The prototype IC was fabricated by MOSIS using AMI'S 1.5 mum, double poly, double level metal CMOS technology","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121655111","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
Pulse Frequency Demodulation Without Spike Detection 脉冲频率解调无尖峰检测
J. Mcnames
{"title":"Pulse Frequency Demodulation Without Spike Detection","authors":"J. Mcnames","doi":"10.1109/CNE.2005.1419598","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419598","url":null,"abstract":"One of the primary goals in the analysis of microelectrode recordings (MER) is to estimate the time-varying component of the firing rate, also known as the process intensity. This is typically done by applying a spike detection algorithm to create a spike train and then smoothing the spike train to estimate the slowly-varying fluctuations in intensity. In noisy recordings from microelectrode arrays or low-impedance microelectrodes used in stereotactic neurosurgery, this approach is often not possible because spike detection algorithms cannot accurately discriminate action potentials from single neurons. This paper compares the performance of a traditional spike-detection approach with an optimal threshold to a power demodulation approach similar to the full-wave rectifiers that are often used for the analysis of electromyograms (EMG). The results demonstrate that, in most cases, the power demodulation approach is as accurate as an optimal threshold detector. In signals with a signal-to-noise ratio (SNR) less than 0.1, the power demodulation approach performs slightly better than the detection-based approach","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"34 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131108366","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
Modeling Selective Stimulation With A Flat Interface Nerve Electrode for Standing Neuroprosthetic Systems 基于平面界面神经电极的站立神经义肢系统选择性刺激建模
M. Schiefer, R. Triolo, D. Durand, D. Tyler
{"title":"Modeling Selective Stimulation With A Flat Interface Nerve Electrode for Standing Neuroprosthetic Systems","authors":"M. Schiefer, R. Triolo, D. Durand, D. Tyler","doi":"10.1109/CNE.2005.1419631","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419631","url":null,"abstract":"The long-term goal of our research is to restore standing function through selective activation of target fascicles within the femoral nerve by a flat interface nerve electrode (FINE). The optimal number and location of contacts within a FINE had not been determined previously. A realistic three-dimensional finite element model based on a cross section of human femoral nerve and FINE is presented. Simulated voltages are applied as an extracellular field to the MRG double-cable axon model. Initial simulations indicate that optimal contacts may exist for each fascicular group but an acceptable selectivity may require nerve reshaping","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458776","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
A TinyOS-Based Wireless Neural Sensing, Archiving, and Hosting System 基于tinos的无线神经传感、存档和托管系统
S. Farshchi, P. Nuyujukian, A. Pesterev, I. Módy, J. Judy
{"title":"A TinyOS-Based Wireless Neural Sensing, Archiving, and Hosting System","authors":"S. Farshchi, P. Nuyujukian, A. Pesterev, I. Módy, J. Judy","doi":"10.1109/CNE.2005.1419714","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419714","url":null,"abstract":"We have designed and tested a comprehensive wireless neural recording system. The system amplifies, digitally encodes, transmits, archives, hosts, and displays multiple channels of neural recordings from any number of un-tethered test subjects. The neural transmitter and receiver are modified TinyOS-based MICAz wireless sensor nodes that can sample, transmit, and receive neural data real-time at a rate of 44.8 kbps while consuming less than 100 mW of power. This data rate can be divided for recording on up to eight channels, with a resolution of up to 10 bits per sample. An archive server records the neural signals received by the Ethernet-based gateway receivers, and hosts them to browser-based clients over the Internet. This work demonstrates the viability of the TinyOS-based sensor technology as a foundation for chronic remote biological monitoring applications, and demonstrated a system architecture that can actively leverage advancements in distributed sensing, networking, and communications technologies","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127816319","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: 25
Analysis and Visualization of Movement related EEG activities with Local Discriminant Bases 基于局部判别基的运动相关脑电活动分析与可视化
N. Ince, A. Tewfik, S. Arıca, S. Yagcioglu
{"title":"Analysis and Visualization of Movement related EEG activities with Local Discriminant Bases","authors":"N. Ince, A. Tewfik, S. Arıca, S. Yagcioglu","doi":"10.1109/CNE.2005.1419691","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419691","url":null,"abstract":"We use local cosine packets to adaptively segment EEG corresponding to left or right hand index finger movements. The segmentation is constructed by maximizing the Euclidean or Kullback-Leibler distance criterion between the left and right finger movement. The proposed method divides the movement EEG from the C3 and C4 electrodes into nonuniform time segments over a dyadic tree. The most discriminative features are selected from the pruned tree. We observed that the selected segmentation and discriminative components are subject specific. We believe this may eliminate the inter and intrasubject variability when constructing brain computer interfaces. We also found striking asymmetry between feature characteristics and their discrimination power on each hemisphere","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690631","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: 8
A Wavelet Based Approach for the Detection of Coupling in EEG Signals 基于小波的脑电信号耦合检测方法
R. Saab, M. Mckeown, L. Myers, R. Abu-Gharbieh
{"title":"A Wavelet Based Approach for the Detection of Coupling in EEG Signals","authors":"R. Saab, M. Mckeown, L. Myers, R. Abu-Gharbieh","doi":"10.1109/CNE.2005.1419700","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419700","url":null,"abstract":"Electroencephalograms (EEGs) provide a noninvasive way of measuring brainwave activity from sensors placed on the scalp. In this paper we present an approach to measure coupling, or synchrony, between various parts of the brain, critical for motor and cognitive processing, using wavelet coherence of EEG signals. We provide an argument, highlighting the benefits of using this approach as opposed to the regular Fourier based coherence, in the context of localizing short significant bursts of coherence between non-stationary EEG signals, to which regular coherence is insensitive. We further highlight the benefits of the wavelets approach by exploring how a single time-frequency coherence map can be controlled to yield various time and/or frequency resolutions","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133714590","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: 27
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信