发布求助
文献互助 智能选刊 最新文献

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings最新文献

筛选
英文 中文
Novel readout circuit for memristive biosensors in cancer detection 忆阻式生物传感器在癌症检测中的新型读出电路
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981759
A. Zaher, P. Häfliger, F. Puppo, G. Micheli, S. Carrara
{"title":"Novel readout circuit for memristive biosensors in cancer detection","authors":"A. Zaher, P. Häfliger, F. Puppo, G. Micheli, S. Carrara","doi":"10.1109/BioCAS.2014.6981759","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981759","url":null,"abstract":"We present a novel circuit for the automated and quick characterization of an array of experimental memristive nanowires that are functionalized as biosensors. Successfully functionalized nanowires will express the concentration of target molecules by hysteretic gaps of the zero crossing of their memristive I/V characteristics as the voltage across them is swept up and down. The width of the voltage gap is directly proportional to the target molecule concentration. The characterization circuit sorts out faulty, i.e. non-conducting nanowires in the array, and performs an analog to digital conversion of the voltage gap to assess successful functionalization of the others, and thus significantly reduces the time for functional testing. Many of the test parameters are configurable: the speed and range of the voltage sweep and the resolution of the measurements. An initial prototype 2×2 array of the circuit has been layed out in 0.35μm CMOS technology within an area of 0.429 mm2 and has been thoroughly characterized in simulation, has been layed out, and is ready for fabrication.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"1 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116924973","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
A 17 GHz bandwidth 1.2 mW CMOS switching matrix for UWB breast cancer imaging 用于超宽带乳腺癌成像的17ghz带宽1.2 mW CMOS开关矩阵
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981657
A. Azhari, T. Sugitani, Kenta Sogo, T. Kikkawa, X. Xiao
{"title":"A 17 GHz bandwidth 1.2 mW CMOS switching matrix for UWB breast cancer imaging","authors":"A. Azhari, T. Sugitani, Kenta Sogo, T. Kikkawa, X. Xiao","doi":"10.1109/BioCAS.2014.6981657","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981657","url":null,"abstract":"A new single pole eight throw (SP8T) CMOS switching matrix has been developed to replace conventional large mechanical switches, for portable ultra wideband (UWB) breast cancer imaging system. The SP8T switch has an minimum input and output matching bandwidth of 0-17 GHz with an average insertion loss of 3 to 10 dB from 2 to 17 GHz and power consumption of 1.2 mW. By utilizing two of these switching matrices, implemented on printed circuit boards, it has been possible to detect an aluminum target of 10 mm × 10mm at a depth of 20 mm, in a 16 antenna array breast cancer detection system. An 8 GHz center frequency Gaussian monocycle pulse was transmitted through the whole system.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121237571","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
Ultra-low power neural stimulator for electrode interfaces 用于电极界面的超低功耗神经刺激器
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981769
S. Nag, D. Sharma, N. Thakor
{"title":"Ultra-low power neural stimulator for electrode interfaces","authors":"S. Nag, D. Sharma, N. Thakor","doi":"10.1109/BioCAS.2014.6981769","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981769","url":null,"abstract":"Power loss at the output stage of conventional constant current neural stimulators is notably high. This is particularly disadvantageous for applications in implantable systems where power budget is limited. We present a novel electrical stimulator architecture for significantly reduced power loss and low noise operation. The system generates a calibrated output voltage profile for driving electrode impedance with an approximate biphasic current stimulation. The stimulator utilizes switched-capacitor output driver stage and low speed operations for substantial reduction in power loss. The hardware is capable of generating on-demand clock signals for appropriate switching events through a feedback mechanism. The self-clocking ultra-low power stimulator front-end and its controller exhibits quasi-stable quiescent power consumption of 3.75 μW and raw efficiency up to 98%. The low power stimulator architecture consumes nearly 70% less power than conventional linear mode stimulators and half of the reported state-of-the art design. Output peak-to-peak noise down to 20 mV is achieved through this design. Demonstrations are shown with RC impedance, platinum-iridium electrode in saline solution and in-vivo somatosensory cortex stimulation.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124910354","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
552 nW per channel 79 nV/rtHz ECG acquisition front-end with multi-frequency chopping 552 nW每通道79 nV/rtHz ECG采集前端多频斩波
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981803
P. Khatavkar, S. Aniruddhan
{"title":"552 nW per channel 79 nV/rtHz ECG acquisition front-end with multi-frequency chopping","authors":"P. Khatavkar, S. Aniruddhan","doi":"10.1109/BioCAS.2014.6981803","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981803","url":null,"abstract":"An ultra low power low noise analog front-end for ECG signal acquisition is demonstrated. Key to its performance is a multi-frequency chopping technique that helps to significantly reduce power consumption by frequency-division multiplexing of two channels in a single low noise instrumentation amplifier. A complete two-channel analog front-end, chopped at frequencies of 4 kHz and 8 kHz, is implemented in a 0.18 μm CMOS technology from UMC. A current reuse technique is employed in the first stage of the instrumentation amplifier to further improve efficiency. Simulation results show that the front-end achieves an input-referred noise voltage density of 79 nV/√Hz while consuming a current of 460 nA per channel from a 1.2 V power supply. The 1/f noise corner of the system is around 10 Hz and the CMRR of 138 dB.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124917337","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
Building reconfigurable circuitry in a biochemical world 在生化世界中构建可重构电路
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981787
H. Chiang, J. H. Jiang, F. Fages
{"title":"Building reconfigurable circuitry in a biochemical world","authors":"H. Chiang, J. H. Jiang, F. Fages","doi":"10.1109/BioCAS.2014.6981787","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981787","url":null,"abstract":"Realizing complex systems within a biochemical environment is a common pursuit in synthetic biology, an emerging technology with promising potential in biomedicine and other applications. Such systems achieve certain computation through properly designed biochemical reactions. Despite fruitful progress being made, most existing reaction designs have fixed target functionality. Their lack of reconfigurability can be disadvantageous, especially when a system has to adapt to a varying biochemical environment. In this paper, we propose an analog approach to economically construct a reconfigurable logic circuit similar to a silicon based field programmable gate array (FPGA). The effective “logic” and “interconnect” of the circuit can be dynamically reconfigured by controlling the concentrations of certain knob species. We study a potential biomedical application of our reconfigurable circuitry to disease diagnosis and therapy at a molecular level.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125904634","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
A neuromorphic categorization system with Online Sequential Extreme Learning 基于在线顺序极限学习的神经形态分类系统
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981780
Ruoxi Ding, Bo Zhao, Shoushun Chen
{"title":"A neuromorphic categorization system with Online Sequential Extreme Learning","authors":"Ruoxi Ding, Bo Zhao, Shoushun Chen","doi":"10.1109/BioCAS.2014.6981780","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981780","url":null,"abstract":"This paper presents an event-driven categorization system which processes the address events from a Dynamic Vision Sensor. Using neuromorphic processing, cortex-like spike-based features are extracted by an event-driven MAX-like convolutional network. The extracted spike patterns are then classified by an Online Sequential Extreme Learning Machine with Auto Encoder. Using a Lookup Table, we achieve a virtually fully connected system by physically activating only a very small subset of the classification network. Experimental results show that the proposed system has a very fast training speed while still maintaining a competitive accuracy.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439125","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
Live demonstration: Event-driven high-speed imaging 现场演示:事件驱动的高速成像
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981677
D. Matolin, G. Orchard, Jean-Baptiste Floderer, C. Posch
{"title":"Live demonstration: Event-driven high-speed imaging","authors":"D. Matolin, G. Orchard, Jean-Baptiste Floderer, C. Posch","doi":"10.1109/BioCAS.2014.6981677","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981677","url":null,"abstract":"This live demonstration shows a biology-inspired highly efficient approach to high-speed video data acquisition based on the ATIS image sensor technology. Gray-level image information is acquired pixel-individually and event-driven at a temporal resolution equivalent to thousands of frames-per-second while the data rate is kept at a fraction of the rate encountered with conventional high-speed cameras by means of near ideal pixel-level redundancy suppression. The presented ATIS camera combines three consecutive exposure estimation / measurement steps that apply different trade-offs between measurement speed, accuracy and noise. Early estimates of pixel values deliver between 10 and 100 times faster updates than the eventual full-swing integrating exposure measurement that reaches 1 kFPS equivalent temporal resolution at sunny outdoor conditions. In addition, a miniaturized ATIS camera is demonstrated that constitutes one of the first (if not the first) neuromorphic device designed specifically for application in a commercial medical product.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125484560","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
Power-area efficient VLSI implementation of decision tree based spike classification for neural recording implants 基于决策树的神经记录植入尖峰分类的高效VLSI实现
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981742
Yuning Yang, Sam Boling, A. Mason
{"title":"Power-area efficient VLSI implementation of decision tree based spike classification for neural recording implants","authors":"Yuning Yang, Sam Boling, A. Mason","doi":"10.1109/BioCAS.2014.6981742","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981742","url":null,"abstract":"Spike classification is the last step in spike sorting to reduce the data rate of a brain-machine interface. This paper presents a new decision tree based spike classification method that achieves a classification accuracy comparable to methods based on L1 distance. The design was synthesized for 130nm CMOS with an architecture that interleaves eight channels to optimize the power-area tradeoff. Resource analysis shows that the resulting design consumes 32nW of power per channel at a clock rate of 50KHz and occupies 5115μm2 of area per channel.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122466636","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
Development of a continuous sphygmomanometer using electromagnetic induction 电磁感应连续式血压计的研制
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BIOCAS.2014.6981758
H. Hirano, T. Fukuchi, Z. Soh, Y. Kurita, A. Kandori, Y. Sano, R. Nakamura, N. Saeki, M. Kawamoto, M. Yoshizumi, T. Tsuji
{"title":"Development of a continuous sphygmomanometer using electromagnetic induction","authors":"H. Hirano, T. Fukuchi, Z. Soh, Y. Kurita, A. Kandori, Y. Sano, R. Nakamura, N. Saeki, M. Kawamoto, M. Yoshizumi, T. Tsuji","doi":"10.1109/BIOCAS.2014.6981758","DOIUrl":"https://doi.org/10.1109/BIOCAS.2014.6981758","url":null,"abstract":"This paper proposes a novel palpable and non-invasive continuous sphygmomanometer, with which continuous arterial pressure can be measured based on electromagnetic induction. The proposed sensor can be attached to the measurer's fingertip, and single-degree-of-freedom springs, which are interposed between the side of the measurer's finger and the skin surface side, transmit the arterial pressure to the measurer. At the same time, displacements of the springs are measured by electromagnetic induction, and converted into a measurement of arterial pressure. This mechanism allows measurement of the continuous arterial pressure based on a tonometry approach. In the experiment, the conversion equations from the output voltage to arterial pressure values were verified by comparison with the arterial pressure measured using a commercial continuous sphygmomanometer. The experimental results showed that the determination coefficient of the regression line between arterial pressures measured using the sensors was 0.89 (p <; 0.01). Therefore we can conclude that the proposed sensor enables the non-invasive measurement of continuous arterial pressure.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122974571","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
Live demonstration: Modular multi-sensor platform for portable and wireless medical instrumentation 现场演示:便携式和无线医疗仪器的模块化多传感器平台
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981684
Philipp Schönle, Petrit Bunjaku, S. Fateh, Qiuting Huang
{"title":"Live demonstration: Modular multi-sensor platform for portable and wireless medical instrumentation","authors":"Philipp Schönle, Petrit Bunjaku, S. Fateh, Qiuting Huang","doi":"10.1109/BioCAS.2014.6981684","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981684","url":null,"abstract":"The live demonstration of the modular medical instrumentation platform consists of two parts: A disassembled prototype device giving an insight in the modular design of the presented hardware and a demonstration of a sample system for ECG and pulse oximetry acquisition.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124549075","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
下一页 尾页
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
现在去查看 取消
×
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