2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献_第9页

Implantable MICS-based wireless solution for bladder pressure monitoring 基于mic的植入式膀胱压力监测无线解决方案

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325205

A. Tantin, Antoine Letourneau, Mohamed Zgaren, S. Hached, I. Clausen, M. Sawan

引用次数: 10

An energy efficient neuromorphic computing system using real time sensing method 一种采用实时传感方法的节能神经形态计算系统

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325233

H. Farkhani, Mohammad Tohidi, Sadaf Farkhani, J. K. Madsen, F. Moradi

引用次数: 3

An embedded FPGA accelerator for a stand-alone dual-mode assistive device 用于独立双模辅助设备的嵌入式FPGA加速器

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325547

A. Jafari, Maysam Ghovanloo, T. Mohsenin

{"title":"An embedded FPGA accelerator for a stand-alone dual-mode assistive device","authors":"A. Jafari, Maysam Ghovanloo, T. Mohsenin","doi":"10.1109/BIOCAS.2017.8325547","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325547","url":null,"abstract":"This paper presents a stand-alone Dual-mode Tongue Drive System (sdTDS) which is designed for people with severe disabilities to control their environment using their tongue motion and speech. The sdTDS detects user's tongue motion using a magnetic tracer placed on tongue and an array of magnetic sensors embedded in a wireless headset and at the same time it can capture the user's voice using a small microphone embedded in the same headset. A real-time FPGA-based local processor is proposed which can perform all required signal processing to convert raw data generated by magnetic sensors and microphone to user commands at sensor side, rather than sending all raw data out to a PC or smartphone. The proposed sdTDS significantly reduces the transmitter power consumption and subsequently increases the battery life. Assuming the sdTDS user issues one command every 20 ms, implementing the proposed local processor reduces the data volume that needs to be wirelessly transmitted from 25.6 kb/s to 0.3 kb/s. To evaluate the functionality and performance of the sdTDS processor, it has been implemented on a Xilinx Zynq SoC device (ARM+Artix FPGA) and at frequency of 100 MHz, it consumes 2 mJ energy. The detection accuracy is 96.6% for tongue motion, and 97.5% for speech recognition.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124946402","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: 7

Live demonstration: Wireless intracranial pressure monitoring system based on an air pressure sensor 现场演示:基于气压传感器的无线颅内压监测系统

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325094

Zeliang Wu, Hanjun Jiang, Yanshu Guo, Chun Zhang, Wen Jia, Zhihua Wang

引用次数: 0

A 2.1 μW event-driven wake-up circuit based on a level-crossing ADC for pattern recognition in healthcare 基于交叉ADC的2.1 μW事件驱动唤醒电路用于医疗模式识别

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325145

G. Rovere, S. Fateh, L. Benini

引用次数: 3

A high frequency, high frame rate front end for electrical impedance tomography 用于电阻抗断层成像的高频、高帧率前端

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325061

M. Takhti, Yueh-Ching Teng, K. Odame

引用次数: 4

Smart micro-sensing: Antibodies and aptamer-based micro-ELISA as performing offline/on line tool for allergens and mycotoxins detection in foods 智能微传感:基于抗体和适配体的微elisa作为食品中过敏原和真菌毒素检测的离线/在线工具

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325179

L. Boschis, N. Ciprianetti, D. Spadaro, M. Gullino, Riccardo Rinaldi, C. Garino, M. Arlorio

引用次数: 2

Compressed estimation of heart and respiratory rates from a photoplethysmogram 光容积图对心脏和呼吸速率的压缩估计

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325158

Chanki Park, Boreom Lee

引用次数: 2

A compact phenomenological digital neuron implementing the 20 Izhikevich behaviors 实现20个Izhikevich行为的紧凑现象学数字神经元

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325231

C. Frenkel, J. Legat, D. Bol

引用次数: 10

Live demonstration: Enhancing biomedical research precision, productivity and reproducibility via autonomous data acquisition and robust data curation 现场演示:通过自主数据采集和强大的数据管理，提高生物医学研究的精度、生产力和可重复性

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325087

Yousef Gtat, A. Mason

{"title":"Live demonstration: Enhancing biomedical research precision, productivity and reproducibility via autonomous data acquisition and robust data curation","authors":"Yousef Gtat, A. Mason","doi":"10.1109/BIOCAS.2017.8325087","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325087","url":null,"abstract":"We present the eGor digital laboratory assistant platform that improves the experience of characterizing materials, devices and processes. Conceived to address challenges in biosensor and biomedical system development, eGor is a highly flexible platform for 1) automation of data acquisition with precise timing control, 2) production of results objects that are rich with information defining the measurement setup and provenance of instruments and datasets, and 3) curation of results objects and processed child datasets throughout the data life cycle. eGor packs three tools into a user-friendly browser interface: Designer to manage digital inventory of instruments and digitally capture measurement project scheme details including instrument layout and test procedures; Executer to monitor real-time measurements, search and run project schemes, and schedule future automated project runs; Analyzer to search, view and annotate results objects containing a digital description of the project scheme and the results data it generated, filter and process datasets, and trace provenance across all instruments, schemes, and datasets. These eGor services interface with a measurement workbench through the Instrument Manager tool that runs on local workbenches to collection data from and manage communication with physical instruments. Together, these eGor tools enable biomedical research with improved accuracy and precision through timing-controlled automation and with greater productivity through intuitive user-friendly interfaces capable of scheduling and running measurements without user presence. Moreover, eGor can have groundbreaking impact on research reproducibility by generating meta-rich results objects that permit exact repetition of measurements and collaborative sharing of both data and detailed project schemes.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133659703","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