2016 IEEE International Symposium on Circuits and Systems (ISCAS)最新文献_第4页

Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method 高斯-塞德尔法软输出海量MIMO检测的高效体系结构

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7538940

Zhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, X. You

引用次数: 92

Neural tissue and brain interfacing CMOS devices — An introduction to state-of-the-art, current and future challenges 神经组织和脑接口CMOS器件-介绍最先进的，当前和未来的挑战

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7538925

R. Thewes, G. Bertotti, N. Dodel, S. Keil, S. Schroder, K. Boven, G. Zeck, M. Mahmud, S. Vassanelli

引用次数: 15

Live demonstration: An implantable wireless multi-channel neural prosthesis for epidural stimulation 现场演示:用于硬膜外刺激的可植入无线多通道神经假体

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7539063

D. Jiang, C. Eder, T. Perkins, A. Vanhoestenberghe, Matthew Schormans, Fangqi Liu, V. Valente, N. Donaldson, A. Demosthenous

引用次数: 0

A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data 一种新的l1正则化时变自回归脑连通性估计模型:基于视觉任务相关fMRI数据的研究

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7527162

Li Zhang, Z. Fu, S. Chan, H. C. Wu, Z. G. Zhang

{"title":"A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data","authors":"Li Zhang, Z. Fu, S. Chan, H. C. Wu, Z. G. Zhang","doi":"10.1109/ISCAS.2016.7527162","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527162","url":null,"abstract":"Studies of time-varying or dynamic brain connectivity (BC) using functional magnetic resonance imaging (fMRI) are crucial to understand the relationship between different brain regions. This paper presents a novel method for estimating dynamic BC using a time-varying multivariate autoregressive (AR) model with spatial sparsity and temporal continuity constraints. The problem is formulated as a maximum a posterior probability (MAP) estimation problem and solved as a least square problem with Li-regularization for imposing the constraints. The Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method is employed to estimate the model parameters for making inference of dynamic BC. The proposed method was evaluated using synthetic data and visual checkerboard task experiment fMRI data. The results show that the method can effectively capture transient information transfer among visual-related brain regions whereas controlled areas not related to the process remain inactive. These verify the effectiveness and reduced variance of the proposed method for investigating dynamic task-related BC from fMRI data.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"15 1","pages":"29-32"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79858774","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

Low-power EEG monitor based on compressed sensing with compressed domain noise rejection 基于压缩感知和压缩域噪声抑制的小功率脑电监护

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7527292

Nicola Bertoni, Bathiya Senevirathna, Fabio Pareschi, Mauro Mangia, R. Rovatti, P. Abshire, J. Simon, G. Setti

{"title":"Low-power EEG monitor based on compressed sensing with compressed domain noise rejection","authors":"Nicola Bertoni, Bathiya Senevirathna, Fabio Pareschi, Mauro Mangia, R. Rovatti, P. Abshire, J. Simon, G. Setti","doi":"10.1109/ISCAS.2016.7527292","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7527292","url":null,"abstract":"Wireless sensor nodes capable of acquiring and transmitting biosignals are increasingly important to address future needs in healthcare monitoring. One of the main issues in designing these systems is the unavoidable energy constraint due to the limited battery lifetime, which strictly limits the amount of data that may be transmitted. Compressed Sensing (CS) is an emerging technique for introducing low-power, real-time compression of the acquired signals before transmission. The recently developed rakeness approach is capable of further increasing CS performance. In this paper we apply the rakeness-CS technique to enhance compression capabilities for electroencephalographic (EEG) signals, and particularly for Evoked Potentials (EP), which are recordings of the neural activity evoked by the presentation of a stimulus. Simulation results demonstrate that EPs are correctly reconstructed using rakeness-CS with a compression factor of 16. Additionally, some interesting denoising capabilities are identified: the high-frequency noise components are rejected and the 60 Hz power line noise is decreased by more than 20dB with respect to the state-of-the-art filtering when rakeness-CS techniques are applied to the EEG data stream.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"36 1","pages":"522-525"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76761339","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: 9

Inductive power transfer system with a rotary transformer for contactless energy transfer on rotating applications 带旋转变压器的感应电力传输系统，用于旋转应用中的非接触能量传输

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7538876

Stefan Ditze, Achim Endruschat, T. Schriefer, A. Rosskopf, T. Heckel

引用次数: 20

Dual band wireless power and bi-directional data link for implanted devices in 65 nm CMOS 65纳米CMOS植入器件的双频无线电源和双向数据链路

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7527326

V. Talla, V. Ranganathan, Brody J. Mahoney, Joshua R. Smith

引用次数: 5

An event-driven POSFET taxel for sustained and transient sensing 事件驱动的POSFET taxel用于持续和瞬态传感

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7527242

Stefano Caviglia, L. Pinna, M. Valle, C. Bartolozzi

引用次数: 15

Quality assessment of tone-mapped images based on sparse representation 基于稀疏表示的色调映射图像质量评估

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7539023

Lijuan Xie, Xianguo Zhang, Shiqi Wang, Xinfeng Zhang, Siwei Ma

{"title":"Quality assessment of tone-mapped images based on sparse representation","authors":"Lijuan Xie, Xianguo Zhang, Shiqi Wang, Xinfeng Zhang, Siwei Ma","doi":"10.1109/ISCAS.2016.7539023","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7539023","url":null,"abstract":"Recently, an increasing number of tone-mapping operators (TMOs) have been proposed in order to display high dynamic nge (HDR) images on low dynamic range (LDR) devices. Developing perceptually consistent image quality assessment (QA) measures for TMO is highly desired because traditional LDR based IQA methods cannot support the cross dynamic range quality comparison. In this paper, a novel objective quality assessment method is proposed on the basis of sparse-domain representation, which has been well advocated as a powerful tool in describing natural sparse signals with the over-complete dictionary. Specifically, two indices, incorporating both local and global features extracted from sparsely represented coefficients, are introduced to simulate the human visual system (HVS) characteristics on HDR images. The local feature measures the sparse-domain similarity between the pristine HDR and tone-mapped L R images by leveraging the intrinsic structure with sparse coding. On the other hand, benefiting from the natural scene statistics (NSS), the global features are recovered from the sparse coefficients to account for the natural behaviors of tone-mapped images. Combining the local sparse-domain similarity and the global “naturalness” prior, validations on the public database show that the proposed sparse-domain model for tone-mapped images (SMTI) provides accurate predictions on the human perception of tone-mapped images.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"32 1","pages":"2218-2221"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81376021","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

Transmission mechanisms with variable tissue properties in a paired electrode system for transcutaneous power 在配对电极系统中具有可变组织特性的传输机制

2016 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2016-05-22 DOI: 10.1109/ISCAS.2016.7539159

Kara N. Bocan, E. Sejdić

{"title":"Transmission mechanisms with variable tissue properties in a paired electrode system for transcutaneous power","authors":"Kara N. Bocan, E. Sejdić","doi":"10.1109/ISCAS.2016.7539159","DOIUrl":"https://doi.org/10.1109/ISCAS.2016.7539159","url":null,"abstract":"Wireless transcutaneous power transfer and communication has the potential to reduce the size of implantable medical devices, thereby reducing patient discomfort and minimizing the tissue area exposed to foreign material. Electromagnetic transmission mechanisms through tissue are determined by tissue structure and associated frequency-dependent tissue properties, which are significant in the design of wireless implantable medical devices. The purpose of this study was to investigate the effects of varying tissue dielectric properties on maximum power transfer to a subcutaneously implanted device in a paired electrode system designed for use in proximity to metallic orthopedic implants. The transcutaneous system including external and implanted electrode pairs was simulated at several radio frequencies (125 kHz, 1 MHz, 13.56 MHz, 403 MHz, and 915 MHz) while varying the dielectric properties of the tissue medium over a range of physiological values. Maximum power transfer was calculated to represent the best-case power gain across the range of tissue properties and frequencies, and greater achievable efficiencies were seen with higher quality factor as a function of the tissue properties. The results suggest that in the paired electrode system, utilization of capacitive coupling allows the system to function in proximity to metallic surfaces such as orthopedic implants. The results also suggest that higher power gains are possible through a choice of implant location based on expected tissue properties.","PeriodicalId":6546,"journal":{"name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"13 1","pages":"2739-2742"},"PeriodicalIF":0.0,"publicationDate":"2016-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81868580","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