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

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A Tri-State FSK Demodulator for Asynchronous Timing of High-Rate Stimulation Pulses in Wireless Implantable Microstimulators 用于无线植入式微刺激器中高速率刺激脉冲异步定时的三态FSK解调器
Maysam Ghovanloo, K. Najafi
{"title":"A Tri-State FSK Demodulator for Asynchronous Timing of High-Rate Stimulation Pulses in Wireless Implantable Microstimulators","authors":"Maysam Ghovanloo, K. Najafi","doi":"10.1109/CNE.2005.1419567","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419567","url":null,"abstract":"A tri-state FSK modulation protocol and demodulator circuit have been developed and explained in this paper for wireless data rates as high as the carrier frequency. This method is used for asynchronous timing of high-rate stimulation pulses in wireless implantable microstimulators to improve the timing resolution of the stimulation pulses from one data-frame period to only one carrier cycle period. The demodulator circuit is used in a 16-site wireless active stimulating microprobe fabricated in the University of Michigan 3-mum, 1-metal, 2-poly, N-epi, BiCMOS process, occupying 1.17 mm2 of the probe active area. The FSK demodulator circuit is simulated up to 2.5 Mega bits per second (b/s) and tested up to 300 kb/s","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"11 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":"128599303","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
A Systems Approach for Real-Time Data Compression in Advanced Brain-Machine Interfaces 高级脑机接口实时数据压缩的系统方法
K. Oweiss, K. Thomson, D. Anderson
{"title":"A Systems Approach for Real-Time Data Compression in Advanced Brain-Machine Interfaces","authors":"K. Oweiss, K. Thomson, D. Anderson","doi":"10.1109/CNE.2005.1419553","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419553","url":null,"abstract":"Advanced array processing techniques are becoming an indispensable requirement for integrating the rapid developments in wireless high-density electronic interfaces to the central nervous system (CNS) with computational neuroscience. This work aims at describing a systems approach for data compression to enable real-time transmission of high volumes of neural data acquired by implantable microelectrode arrays to extra-cutaneous devices. We show that the tradeoff between transmission bit rate and processing complexity requires a smart coding mechanism to yield a fast and efficient neural interface capable of transmitting the information from the CNS in real-time without compromising issues of communication bandwidth and signal fidelity. The results presented demonstrate that on-chip coding offers tremendous savings in communication costs compared to raw data transmission for off-chip analysis. Performance illustrations and experimental neural data examples are described in details","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"16 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":"133845053","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
Synaptic and Cellular Influences on the Composite EEG Signal During Seizures* 突触和细胞对癫痫发作时复合脑电图信号的影响*
P. Kudela, P. Franaszczuk, G. Bergey
{"title":"Synaptic and Cellular Influences on the Composite EEG Signal During Seizures*","authors":"P. Kudela, P. Franaszczuk, G. Bergey","doi":"10.1109/CNE.2005.1419602","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419602","url":null,"abstract":"We utilize neuronal network models to identify the potential effects of the synaptic, cellular, and membrane behaviors on the characteristics and the composites of epileptic EEG. In these network models the average membrane potential of neurons in a network is calculated while epileptiform activity in this network is simulated. Our results suggest that seizure activity may trigger changes in synaptic efficacy and alter membrane excitability. These alterations contribute to the pattern of frequency changes observed in simulated average membrane potential signal. We suggest that these factors may influence seizure dynamics and contribute to the ictal EEG pattern in humans","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"7 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":"133595328","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
Comparison of Phase-Coupling Indices for Tremor 震颤的相位耦合指标比较
Sunghan Kim, J. Mcnames, K. Burchiel
{"title":"Comparison of Phase-Coupling Indices for Tremor","authors":"Sunghan Kim, J. Mcnames, K. Burchiel","doi":"10.1109/CNE.2005.1419629","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419629","url":null,"abstract":"Tremor can be a severely disabling symptom. It occurs in patients with many movement disorders including Parkinson's disease (PD) and essential tremor (ET). Physical tremor can be measured with a variety of instruments including electromyograms (EMG) and accelerometers. Neural tremor can be measured by microelectrodes placed near nerve cells or obtained from brain cells during stereotactic neurosurgery. Recent studies have demonstrated that tremor activity measured from two distinct signals, possibly from different types of sensors, may be uncoupled even when the dominant frequency of the tremor is the same in both signals. The coupling between signals may also change over time. Several measures of phase coupling have been proposed in previous studies. We describe the results of a simulation study to assess the reliability and inverse variability of three popular phase-coupling indices and an index based on the correlation coefficient of the instantaneous frequency (IF) signals. The results of our study demonstrate that the common-mean correlation coefficient of the IF signals is the most accurate measure of phase coupling and has many desirable properties not shared by the other indices","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"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":"132762229","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
Upper Limb Position Sensing: A Machine Vision Approach 上肢位置感应:一种机器视觉方法
D. Han, D. Kuschner, Yuan-fang Wang
{"title":"Upper Limb Position Sensing: A Machine Vision Approach","authors":"D. Han, D. Kuschner, Yuan-fang Wang","doi":"10.1109/CNE.2005.1419667","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419667","url":null,"abstract":"Numerous approaches to sensing limb position for controlling neural prostheses have been proposed, evaluated and even incorporated into commercial products. In general, these technologies have focused on the goals of accuracy, convenience and cost. Here we propose an approach to sensing upper limb posture for a stroke rehabilitation system that does not require any devices attached to the subject This is achieved through the use of a machine vision approach, which involves focusing a digital video camera on the subject and processing the video stream using a specialized algorithm running on a PC. This algorithm will produce a trigger signal whenever the arm posture conforms to a predefined profile. While the approach itself can be applied to a variety of sensing and control applications, we have demonstrated it by developing and characterizing an algorithm that can accurately sense elbow flexion and extension. The machine vision algorithm performs 3-D recovery of the arm position and calculates the elbow angle accordingly, which we have compared to a commercially available goniometer. It also involves a model based prediction and correction technique that improves the accuracy where the model is trained at the outset of a sensing session. The system uses a commercial off-the-shelf webcam, which is widely available and cost effective. The experiments were done in vivo, and the results have shown that the accuracy of the system is about 90% accurate on average compared to our benchmarking device, and that it has strong potential to facilitate control of neural prostheses","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":"116798682","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: 11
Quantitative Measures of Functional Upper Limb Movement in Persons after Stroke 脑卒中后功能性上肢运动的定量测量
B. Knorr, R. Hughes, D. Sherrill, J. Stein, M. Akay, P. Bonato
{"title":"Quantitative Measures of Functional Upper Limb Movement in Persons after Stroke","authors":"B. Knorr, R. Hughes, D. Sherrill, J. Stein, M. Akay, P. Bonato","doi":"10.1109/CNE.2005.1419604","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419604","url":null,"abstract":"Stroke disables many older adults each year. This disease impairs the motor functions of survivors, and rehabilitation intervention is a critical part of recovery. Quantitative assessment techniques could be a valuable guide to this intervention. In this study, we propose the use of linear and nonlinear features to assess subjects after a stroke with upper limb motor impairment These features capture differences in accelerometer signals that mark patterns associated with functional movements performed by individuals with different severity of functional limitation and motor impairment. Our results indicate that the severity of functional deficit and motor impairment can be identified by quantifying the accelerometer signals for movements of the arm and hand while performing a functional reaching task","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"282 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":"125865931","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: 42
Time-frequency Features Differentiate Direction of Finger Movement in Cued and Self-paced Tasks 时间-频率特征在提示和自定节奏任务中区分手指运动方向
R. Ranaweera, T. Talavage, A. Krishnan
{"title":"Time-frequency Features Differentiate Direction of Finger Movement in Cued and Self-paced Tasks","authors":"R. Ranaweera, T. Talavage, A. Krishnan","doi":"10.1109/CNE.2005.1419682","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419682","url":null,"abstract":"With the intended goal of non-invasive control of prosthetic movement in quadriplegic patients, time-frequency distributions of scalp-recorded event-related potentials (ERPs) of movement of digits on the right hand of healthy subjects were obtained using continuous electroencephalography (EEG) and analyzed to differentiate between motor tasks. Robust, statistically significant differences were observed in the time-frequency features which may be useful in non-invasive identification of the intended direction during cued and self-paced pronation and supination of the right index finger and thumb","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"84 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":"124881809","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
Preliminary analysis of multi-channel recordings for the development of a high-level Cortical Neural Prosthesis 高水平皮质神经假体的多通道录音初步分析
S. Micera, J. Carpaneto, M. Umiltà, M. Rochat, L. Escola, V. Gallese, M. Carrozza, J. Krueger, G. Rizzolatti, P. Dario
{"title":"Preliminary analysis of multi-channel recordings for the development of a high-level Cortical Neural Prosthesis","authors":"S. Micera, J. Carpaneto, M. Umiltà, M. Rochat, L. Escola, V. Gallese, M. Carrozza, J. Krueger, G. Rizzolatti, P. Dario","doi":"10.1109/CNE.2005.1419572","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419572","url":null,"abstract":"The implementation of an effective approach to restore the link between the nervous system and artificial devices in disabled subjects is crucial to increase the acceptability and usability of these systems. Among the different possible solutions, the development of invasive cortical neural prostheses (ICNPs) is very appealing because of the possibility of extracting information on the user's intention from cortical activity and of delivering a sensory feedback by stimulating the somato-sensory cortex. In the recent past, the efforts of several research groups have been focused on the extraction of low-level commands to directly control the trajectories of the robotic devices by processing cortical signals. However, even if very interesting results have been achieved using this approach, the possibility of extracting more high-level information is becoming to be addressed for its potential advantages. In this paper, the preliminary results of the experiments on the development of a \"high-level\" ICNP are presented. In particular, a statistical approach is used to characterize the response of the neurons to different experimental conditions and to try to identify the most interesting channels for the development of the ICNP. Moreover, preliminary experiments on pattern recognition using a fuzzy-evolutionary classifier are also presented. Future works will go in the direction of testing extensively the soft-computing classifier in order to discriminate among different robot movements by processing the cortical signals","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"34 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":"124922604","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
Architectures of laboratory-PC and mobile pocket PC brain-computer interfaces 实验室PC机和移动袖珍PC机脑机接口体系结构
G. Edlinger, G. Krausz, F. Laundl, I. Niedermayer, C. Guger
{"title":"Architectures of laboratory-PC and mobile pocket PC brain-computer interfaces","authors":"G. Edlinger, G. Krausz, F. Laundl, I. Niedermayer, C. Guger","doi":"10.1109/CNE.2005.1419568","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419568","url":null,"abstract":"An EEG-based brain computer interface (BCI) system converts brain activity into control signals. A BCI system has to satisfy different demands depending on the application area. A laboratory PC based system allows the flexible design of multiple/single channel feature extraction, classification methods and experimental paradigms. The key advantage of a pocket PC BCI approach is its small dimension and battery supply. Hence a mobile BCI system e.g. mounted on a wheelchair can be realized","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"350 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":"125627495","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: 14
Localizing Synchronized Dipole Sources Using a Modified RAP-MUSIC Algorithm 基于改进RAP-MUSIC算法的同步偶极子源定位
P. Schimpf, Hesheng Liu
{"title":"Localizing Synchronized Dipole Sources Using a Modified RAP-MUSIC Algorithm","authors":"P. Schimpf, Hesheng Liu","doi":"10.1109/CNE.2005.1419571","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419571","url":null,"abstract":"Synchronization across different brain regions is suggested to be a possible mechanism for functional integration. Analyzing the synchronization of cortical activity is possible if the source activity can be estimated by solving the inverse problem. RAP-MUSIC and R-MUSIC are well-known inverse algorithms that employ an independent topography (IT) source model which allows for synchronous sources. However, these two algorithms have difficulty distinguishing highly correlated sources because of their dependence on a correlation threshold. In this paper we modify RAP-MUSIC to a multi-stage process which analyzes the correlation of candidate sources and searches ITs among pre-correlated groups. This algorithm is not dependent on a subspace correlation threshold to identify synchronous sources and also avoids an exhaustive multidimensional search for such sources among numerous possible combinations. A comparative study was carried out on simulated data, and the results demonstrate superior performance with the modified algorithm compared to the original RAP-MUSIC in recovering synchronous sources. The modified algorithm thus has potential in the study of brain synchronization","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"73 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":"126452311","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
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