2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献_第5页

Ultrasound In-Body Communication with OFDM through Multipath Realistic Channels 基于多径信道的OFDM超声体内通信

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918755

Thomas Bos, W. Dehaene, M. Verhelst

引用次数: 14

Micro Bio Processor: a 0.144cc 70uW closed loop platform for body implant electroceutical systems 微生物处理器:0.144cc 70uW闭环平台，用于人体植入电系统

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918718

Sang Joon Kim, Joonseong Kang, Wonseok Lee, Jonghan Kim, Junyeub Suh, Chisung Bae, Hyungwoo Lee, Jongpal Kim, Seungchul Jung, Seok-Ju Yun, Young-Jun Hong, Hankyu Lee, Jaechun Lee, Seong Joong Kim

引用次数: 4

Gastric Section Detection Based on Decision Fusion of Convolutional Neural Networks 基于卷积神经网络决策融合的胃切片检测

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919015

Ting-Hsuan Lin, Chun-Rong Huang, Hsiu‐Chi Cheng, B. Sheu

引用次数: 1

Motion Correction for Thermography using Co-registered Visual-Light Images 使用共配准可见光图像的热成像运动校正

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918761

Fang-fu Chen, J. Müller, Jens Müller, Juliane Müller, M. Kirsch, R. Tetzlaff

引用次数: 3

Night-Time Brain Inter-Hemispheric Asynchrony in Sleep Apnea Patients Carry Information on Neuropsychological Impairment 睡眠呼吸暂停患者夜间脑半球间非同步携带神经心理损伤信息

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919147

V. Swarnkar, U. Abeyratne, B. Duce, R. Sharan, C. Hukins, K. McCloy

{"title":"Night-Time Brain Inter-Hemispheric Asynchrony in Sleep Apnea Patients Carry Information on Neuropsychological Impairment","authors":"V. Swarnkar, U. Abeyratne, B. Duce, R. Sharan, C. Hukins, K. McCloy","doi":"10.1109/BIOCAS.2019.8919147","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919147","url":null,"abstract":"Obstructive sleep apnea (OSA) is a serious sleep disorder with diurnal symptoms including neuropsychological impairments such as excessive daytime sleepiness and loss of attention. There are no efficient tools to measure these impairments in current clinical practice. In this paper, we explore the feasibility of measuring neuropsychological impairments using electroencephalography (EEG) data acquired during the standard clinical sleep diagnostic test known as polysomnography (PSG). We hypothesized that left-right hemispheric EEG asynchrony could quantitatively characterize neuropsychological impairment in OSA in a population of sleep laboratory patients. We acquired EEG data from 50 subjects undergoing routine PSG, using symmetric electrode derivations of C4-A2 and C3-A1. Their neuropsychological performance was assessed via a psychomotor vigilance task (PVT). We computed the left-right EEG asynchrony and developed a logistic regression model (LRM) to classify patients according to their PVT performance. Leave-one-out cross-validation studies on a LRM model with two-class PVT performance achieved a sensitivity of 83% (95% CI: 66-100%) and a specificity of 78% (95% CI: 64-92%). These results indicate that EEG asynchrony during sleep carries information on daytime neuropsychological impairments in OSA subjects.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128407275","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

Low power and massively parallel simulation of oscillatory biochemical networks on FPGA 基于FPGA的振荡生化网络低功耗大规模并行仿真

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919020

Serge Le Thanh, N. Lobato-Dauzier, F. Khoyratee, Romain Beaubois, T. Fujii, A. Genot, T. Levi

引用次数: 0

Electrical Characterization of Graphene-based e-Tattoos for Bio-Impedance-based Physiological Sensing 基于石墨烯的基于生物阻抗的生理传感电子纹身的电特性

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919003

Kaan Sel, D. Kireev, Alexander Brown, Bassem Ibrahim, D. Akinwande, R. Jafari

{"title":"Electrical Characterization of Graphene-based e-Tattoos for Bio-Impedance-based Physiological Sensing","authors":"Kaan Sel, D. Kireev, Alexander Brown, Bassem Ibrahim, D. Akinwande, R. Jafari","doi":"10.1109/BIOCAS.2019.8919003","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919003","url":null,"abstract":"Bio-impedance (Bio-Z) is a promising method to measure a plurality of physiological observations from the human body. The principal challenge, however, remains in the electrodes. Wet-electrodes are inconvenient to wear and drycontact electrodes do not provide sufficient robustness. The objective of this work is to demonstrate the feasibility of leveraging graphene-based electrodes to establish intimate contact with the skin while not introducing any discomfort to the user. Our proposed electrodes are ultrathin, soft, transparent, and can potentially remain on the skin at the same location over an extended period, while offering robust measurements. In this paper, we present the characterization of the proposed ultrathin and skin-conformable graphene-based electronic tattoos (GETs) in continuous Bio-Z measurements. Our bilayer GETs (biGETs) provide an average of contact impedance with the skin at 10 kHz, improving the contact impedance acquired from the traditional dry electrodes. Moreover, Bio-Z measurements with the GETs show less variation (3.6 average standard deviation, 6.5 maximum standard deviation with biGET) due to its stable contact to the reference wet electrode measurements (4.1 average standard deviation and 7.5 maximum standard deviation with wet electrodes). Compared to the traditional electrode structures, our proposed GETs provide better contact impedance, good adherence to the skin, robustness in sensing, and additional comfort and breathability.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124065902","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: 17

BioCAS 2019 Table of Contents BioCAS 2019目录

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/biocas.2019.8919066

引用次数: 0

Towards a Flexible/Stretchable Multiparametric Sensing Device for Surgical and Wearable Applications 面向外科和可穿戴应用的柔性/可拉伸多参数传感装置

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919197

P. Kassanos, F. Seichepine, D. Wales, Guang-Zhong Yang

引用次数: 10

A CMOS Lab-on-a-Chip for Fully Automated Telomerase Activity Detection 用于端粒酶活性全自动检测的CMOS芯片实验室

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918729

Stefano Sonedda, C. Napoli, M. Barbaro

引用次数: 0