2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings最新文献_第2页

Analysis on breathing dynamics of DNA circuits DNA电路呼吸动力学分析

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981719

M. Hirabayashi, Shukichi Tanaka, H. Kojima

引用次数: 0

Neuromodulation of the retina from the suprachoroidal space: The Phoenix 99 implant 视网膜脉络膜上间隙的神经调节:凤凰99植入物

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981711

G. Suaning, N. Lovell, T. Lehmann

引用次数: 12

ESL design of customizable real-time neuron networks 可定制实时神经元网络的ESL设计

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981815

M. F. V. Eijk, C. Galuzzi, A. Zjajo, Georgios Smaragdos, C. Strydis, R. V. Leuken

引用次数: 8

Surface electromyography of neck strap muscles for estimating the intended pitch of a bionic voice source 用于估计仿生声源预定音高的颈带肌肉表面肌电图

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981639

Farzaneh Ahmadi, Matheus Araujo Ribeiro, M. Halaki

{"title":"Surface electromyography of neck strap muscles for estimating the intended pitch of a bionic voice source","authors":"Farzaneh Ahmadi, Matheus Araujo Ribeiro, M. Halaki","doi":"10.1109/BioCAS.2014.6981639","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981639","url":null,"abstract":"Despite the emerging progress in many subfields of bionics, developing a working bionic voice prosthesis for voice-loss patients has remained an unresolved research question. A bionic voice prosthesis replaces the function of a missing larynx and generates natural voice for patients who retain a functional vocal tract but have lost their voice because of surgical removal of the larynx (laryngectomy) due to larynx cancer or swallowing disorders. The main category of patients to receive this solution is laryngectomy patients. The pitch (fundamental frequency) is the highest contributor of generating natural voice for laryngectomy patients. Hence designing a bionic voice solution requires enabling the patient with a convenient mechanism to control the pitch of their substitute voice. In this research, the neuromuscular activity of the neck straps muscles is analyzed using advanced signal processing methods to provide a natural mechanism of controlling the pitch of a future bionic voice source. The result significantly improves the current state of the art techniques of using neuromuscular cues for estimating the pitch.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"36 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":"131988405","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 CMOS-based sensor array for in-vitro neural tissue interfacing with 4225 recording sites and 1024 stimulation sites 基于cmos的体外神经组织传感器阵列，具有4225个记录位点和1024个刺激位点

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981723

G. Bertotti, Dmytro Velychko, N. Dodel, S. Keil, D. Wolansky, B. Tillack, M. Schreiter, A. Grall, P. Jesinger, Sebastian Rohler, M. Eickenscheidt, A. Stett, Andreas Moller, K. Boven, G. Zeck, R. Thewes

引用次数: 59

Effective noise minimization in multichannel recording circuits processed in modern technologies for neurobiology experiments 神经生物学实验中多通道记录电路的有效噪声最小化

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BIOCAS.2014.6981733

P. Kmon, P. Grybos, M. Zoladz, R. Szczygiel

{"title":"Effective noise minimization in multichannel recording circuits processed in modern technologies for neurobiology experiments","authors":"P. Kmon, P. Grybos, M. Zoladz, R. Szczygiel","doi":"10.1109/BIOCAS.2014.6981733","DOIUrl":"https://doi.org/10.1109/BIOCAS.2014.6981733","url":null,"abstract":"This paper presents an effective method of input referred noise minimization (IRN) of recording stages dedicated to neurobiology experiments and processed in submicron or nanometer technologies. We analyze different approaches for IRN minimization and propose solution based on the on-chip analogue noise averaging. The proposed approach allows for almost 2.5 times IRN minimization with only 8 time power consumption increase whereas other on-chip analogue methods provides much less noise minimization efficiency. The method is confirmed by measurements of 8-channel integrated circuit fabricated in 180nm commercial process. The chip is composed of the 8-recording channels that are individually digitally assisted for enlarging IC functionality. The recording part is divided into two separate channels, i.e. an Action Potential (AP) stage and a Local Field Potential (LFP) stage. The voltage gain of the AP and LFP stages can be switched between 56/50 dB and 50/45 dB respectively. Corner frequencies of a particular stages can be digitally controlled in a wide range, i.e. the upper cut-off frequency can be changed in the 20 Hz - 2 kHz (LFP stage) while the lower cut-off frequency can be tuned at the 120 mHz - 3 kHz (LFP and AP stage). The upper cut-off frequency of the AP stage is equal to 6.9 kHz. A single recording channel is supplied from ±0.9 V and consumes about 4.8 μW of power. For a default channel configuration the Input Referred Noise is equal to 5.6 μV resulting in 4.38 of Noise Efficiency Factor (NEF) while for on-chip averaging mode enabled the IRN can be limited to 2.4 μV resulting in 5.3 of NEF.","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":"131158805","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

CY5 fluorescence measured with silicon photomultipliers 用硅光电倍增管测量CY5荧光

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981718

M. F. Santangelo, S. L. Cono, P. Vasquez, G. Fallica, S. Conoci, A. Busacca, R. Pagano, E. Sciuto, S. Lombardo, S. Libertino

引用次数: 7

Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking 现场演示:基于神经形态事件的多核高速视觉特征跟踪算法

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981681

Xavier Lagorce, Cedric Meyer, S. Ieng, David Filliat, R. Benosman

引用次数: 1

A novel compressive sensing architecture for high-density biological signal recording 一种新的高密度生物信号记录压缩感知结构

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981633

Mahsa Shoaran, Hossein Afshari, A. Schmid

引用次数: 4

An implantable image sensor with self-reset function for brain imaging 一种可植入的具有自复位功能的脑成像图像传感器

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981710

K. Sasagawa, Takahiro Yamaguchi, M. Haruta, Yoshinori Sunaga, H. Takehara, T. Noda, T. Tokuda, J. Ohta

引用次数: 1