2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献

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Live Demonstration: Optogenetic Neuro-prosthetics 现场演示:光遗传神经假肢
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918976
Yu Liu, Dimitrios Firfilionis, A. Harvey, Epifanos Baikas, Yrgalem Zeleke, P. Degenaar
{"title":"Live Demonstration: Optogenetic Neuro-prosthetics","authors":"Yu Liu, Dimitrios Firfilionis, A. Harvey, Epifanos Baikas, Yrgalem Zeleke, P. Degenaar","doi":"10.1109/BIOCAS.2019.8918976","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8918976","url":null,"abstract":"This demonstration presents an optogenetic prosthetic system suitable for three main applications: a) Closed-loop control of abnormal network activities (such as epilepsy), b) Visual cortical prosthesis and c) Visual retinal prosthesis. The system is comprised of three main subsystems: i) control unit, ii) head-implant unit and iii) visual headset unit, which when combined can accommodate each of the applications initially described.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"8 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":"116968400","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
An Edge AI System-on-Chip Design with Customized Convolutional-Neural-Network Architecture for Real-time EEG-Based Affective Computing System 基于实时脑电图的情感计算系统的定制卷积神经网络架构的边缘人工智能片上系统设计
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919038
Yu-De Huang, Kai-Yen Wang, Yun-Lung Ho, Chang-Yuan He, W. Fang
{"title":"An Edge AI System-on-Chip Design with Customized Convolutional-Neural-Network Architecture for Real-time EEG-Based Affective Computing System","authors":"Yu-De Huang, Kai-Yen Wang, Yun-Lung Ho, Chang-Yuan He, W. Fang","doi":"10.1109/BIOCAS.2019.8919038","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919038","url":null,"abstract":"In this work, we proposed an edge AI CNN chip design for EEG-based affective Computing system by using TSMC 28nm technology. To improve the performance, Artifact Subspace Reconstruction (ASR) and Short-Time Fourier Transform (STFT) were used for our signal pre-processing and features extraction. The time-frequency EEG feature map was obtained with a multi-channel Differential Asymmetry (DASM) method on 6 EEG channels: FP1, FP2, F3, F4, T7, and T8 according to 10–20 system. The total power consumption of the proposed CNN chip was 71.6mW in training mode and 29.5mW in testing mode. We used 32 subjects data from the DEAP database to validate the proposed design, achieving mean accuracies of 83.7%, 84.5%, and 70.51% for Valence-Arousal binary classification and quaternary classification respectively, showing significant performance improvement over the current related works.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"75 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":"127203015","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
Towards a mm-Sized Free-Floating Wireless Implantable Opto-Electro Stimulation Device 研制一种毫米大小的自由漂浮无线植入式光电刺激装置
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919217
Y. Jia, Maysam Ghovanloo
{"title":"Towards a mm-Sized Free-Floating Wireless Implantable Opto-Electro Stimulation Device","authors":"Y. Jia, Maysam Ghovanloo","doi":"10.1109/BIOCAS.2019.8919217","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919217","url":null,"abstract":"Next generation of brain-machine interfaces (BMI) will be able to interface with large-scale neuronal ensembles over large brain areas with a distributed architecture consisting of multiple tiny implants. This paper presents a system-on-a-chip (SoC) prototype towards a mm-sized free-floating wirelessly-powered implantable 16-ch opto-electro stimulation (FF-WIOS2) device. FF-WIOS2 is wirelessly powered and controlled through a 3-coil inductive link at 60 MHz. Forward telemetry link delivers stimulation parameters to the FF-WIOS2 via on-off keying (OOK) to configure stimulation patterns. Back telemetry link reports the FF-WIOS2 rectified voltage in a closed-loop fashion via load-shift-keying (LSK) to stabilize the implant received power. The SoC, fabricated in a 0.35-µm standard CMOS process, employs switched-capacitor-based stimulation (SCS) by charging an off-chip capacitor up to 5 V at 37% charging efficiency to provide large instantaneous current. At the onset of stimulation, the capacitor delivers charge, with peak current values of either 1.7-12 mA to a LED array for optical stimulation or 100-700 μA to a microelectrode array (MEA) for biphasic electrical stimulation. The latter mechanism is also actively charge-balanced to ensure stimulation safety.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"44 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":"127481595","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
Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases 现场演示:帕金森氏症患者的智能跟踪器和手势捕捉器
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919250
José Ilton de Oliveira Filho, Mariane Bianca de Melo Bezerra, K. Salama
{"title":"Live Demonstration: Smart tracker and gesture capturer for people with Parkinson’s diseases","authors":"José Ilton de Oliveira Filho, Mariane Bianca de Melo Bezerra, K. Salama","doi":"10.1109/BIOCAS.2019.8919250","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919250","url":null,"abstract":"Parkinson’s disease is classified as a chronic movement disorder whose incidence is proportional to the age. It is a common progressive neurodegenerative condition associated with significant disability and negative impact on the quality of life. Its manifestations involve difficulty with coordinated movements such as asymmetric resting tremor, rigidity, and bradykinesia. These symptoms and their response to levodopa constitute the basis for a clinical diagnosis of Parkinson's disease (PD) [1] . A recent study of this disease in North America showed the prevalence of PD among those aged ⩾45 years to be 572 per 100,000, with 680,000 individuals in the US aged ⩾ 45 years with PD in 2010 and the estimative to rise to approximately 930,000 in 2020 and 1,238,000 in 2030 based on the US Census Bureau’s populational projections [2] .","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"44 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":"123583708","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
An 802.15.6 HBC Standard Compatible Transceiver and 90 pJ/b Full-Duplex Transceiver for Body Channel Communication 一个802.15.6 HBC标准兼容收发器和90 pJ/b全双工收发器的身体信道通信
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919040
Jaeeun Jang, Hyunwoo Cho, H. Yoo
{"title":"An 802.15.6 HBC Standard Compatible Transceiver and 90 pJ/b Full-Duplex Transceiver for Body Channel Communication","authors":"Jaeeun Jang, Hyunwoo Cho, H. Yoo","doi":"10.1109/BIOCAS.2019.8919040","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919040","url":null,"abstract":"In this paper, a new Body Channel Communication (BCC) transceiver (TRX) that can support IEEE 802.15 HBC PHY standard and high-speed data transmission is proposed. First, the sinusoidal-modulated transmitter is proposed for the standard mode transceiver, and it can reduce filtering power overhead 35%. Second, high-speed TRX with dual-band Quadrature Phase Shift Keying (QPSK) modulation is proposed to increase system data rate and bandwidth efficiency. In third, on-chip RC duplexer is integrated for full-duplex function. The transceiver is implemented with 180nm CMOS process. As a result, the proposed transceiver satisfies high scalability of WBAN standard as well as high data rate requirements in designated multimedia applications.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"47 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051835","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
[Copyright notice] (版权)
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/biocas.2019.8919235
{"title":"[Copyright notice]","authors":"","doi":"10.1109/biocas.2019.8919235","DOIUrl":"https://doi.org/10.1109/biocas.2019.8919235","url":null,"abstract":"","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"125 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":"116727291","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
Multi-wavelengths Nonlinear Photoacoustic Imaging Based on Compact Laser Diode System 基于小型激光二极管系统的多波长非线性光声成像
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8918709
Hongtao Zhong, Yiyun Wang, Tingyang Duan, Daohuai Jiang, C. Yang, Fei Gao
{"title":"Multi-wavelengths Nonlinear Photoacoustic Imaging Based on Compact Laser Diode System","authors":"Hongtao Zhong, Yiyun Wang, Tingyang Duan, Daohuai Jiang, C. Yang, Fei Gao","doi":"10.1109/BIOCAS.2019.8918709","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8918709","url":null,"abstract":"Photoacoustic imaging (PAI) combines the deep penetration of ultrasound imaging and the high absorption contrast of optical imaging, which has attracted increasing research interest in recent years. The PAI based on multi-wavelength laser source is conducive to detecting different components in the blood such as oxygen saturation. The generation of PA signals could rely on the relative low-cost pulsed laser diode. However, the multi-wavelength PAI system requires multiple pulsed laser diodes, which will multiply the cost of the imaging system. On the other hand, the amplitude of the PA signals will change when inducing the Gruneisen relaxation effect due to the heat accumulation. In this paper, we proposed a continuous multi-wavelength photoacoustic imaging (CMPAI) system based on the combination of a single-wavelength pulsed laser diode and a multi-wavelength continuous laser diode module. The continuous wave (CW) laser is adapted for heating the sample. The PA signals are induced by a single-wavelength pulsed laser. By controlling the laser irradiation sequence (pulse-CW-pulse), the images before and after heating will be attained. By proper differentiating operations, the images with different-wavelengths’ light absorption could be revealed. Furthermore, using this proposed system to detect the concentration of ink that is mixed by different portion of green and red ink would be demonstrated in the following.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"42 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":"129935066","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
A Multi-channel NIRS System for Prefrontal Mental Task Classification Employing Deep Forest Algorithm 基于深度森林算法的多通道近红外系统前额叶心理任务分类
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919082
Yizhen Wen, Xiangao Qi, Shaoyang Cui, Cheng Chen, Mingye Chen, Jian Zhao, Guoxing Wang
{"title":"A Multi-channel NIRS System for Prefrontal Mental Task Classification Employing Deep Forest Algorithm","authors":"Yizhen Wen, Xiangao Qi, Shaoyang Cui, Cheng Chen, Mingye Chen, Jian Zhao, Guoxing Wang","doi":"10.1109/BIOCAS.2019.8919082","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919082","url":null,"abstract":"This paper presents a multi-channel continuous-wave near-infrared spectroscopy (NIRS) system, which is applied to classify different cortical activation states of the prefrontal cortex (PFC). Mental arithmetic, digit span, semantic task and relax were selected as four mental tasks. A deep forest algorithm is employed to achieve high classification accuracy. With employing multi-grained scanning to NIRS data, this system can extract the structural features and result in higher performance. The proposed system with proper optimization can achieve 85.7% accuracy on the self-built dataset, which is the highest results compared to the existing systems.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 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":"129430568","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
High Frequency Dielectric Spectroscopy Array with Code Division Multiplexing for Biological Imaging 用于生物成像的码分复用高频介电光谱阵列
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919173
Kangping Hu, E. Kennedy, J. Rosenstein
{"title":"High Frequency Dielectric Spectroscopy Array with Code Division Multiplexing for Biological Imaging","authors":"Kangping Hu, E. Kennedy, J. Rosenstein","doi":"10.1109/BIOCAS.2019.8919173","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919173","url":null,"abstract":"Radio frequency dielectric spectroscopy is an attractive paradigm for low-cost non-optical imaging of cells and bioparticles. While traditional electrochemical impedance spectroscopy is often performed at lower frequencies, working at radio frequencies can overcome ion screening effects and detect features farther from electrode surfaces. We designed and fabricated a 64×64 sensing array with 10 µm pixels in 180-nm CMOS, supporting switching frequencies up to 100 MHz. The array features code-division multiplexed readout of all 64 rows simultaneously, which offers opportunities for extended integration times, higher frame rates, improved common-mode rejection, and new wide-bandwidth sensing modalities.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"9 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":"126412867","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
The Design of CMOS Electrode-Tissue Impedance Measurement Circuit Using Differential Current Switch with CMFB Bias for Implantable Neuro-Modulation SoCs 基于CMFB偏置差分电流开关的CMOS电极-组织阻抗测量电路设计
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2019-10-01 DOI: 10.1109/BIOCAS.2019.8919039
Chi-Wei Huang, C. Chung, Ruei-Syuan Syu, Chung-Yu Wu
{"title":"The Design of CMOS Electrode-Tissue Impedance Measurement Circuit Using Differential Current Switch with CMFB Bias for Implantable Neuro-Modulation SoCs","authors":"Chi-Wei Huang, C. Chung, Ruei-Syuan Syu, Chung-Yu Wu","doi":"10.1109/BIOCAS.2019.8919039","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919039","url":null,"abstract":"A new electrode-tissue impedance measurement circuit integrated with a System-on-Chip (SoC) is proposed and designed for implantable medical devices to monitor the electrode-tissue contact status. In the proposed circuit, a differential step current is injected into the electrode-tissue structure to generate a voltage. A differential current switch with a common-mode feedback (CMFB) bias circuit and shaped control signals are designed to generate accurate step currents and stable common-mode bias voltage. Moreover, the measurement circuit shares part of the bio-signal acquisition circuit in the SoC. Thus only an extra power dissipation of 4.3μW is needed at the operating frequency of 15.625Hz. The proposed circuit is fabricated by 0.18 um CMOS technology. The measurement results have shown that the resolution is 17 Ωpp and the maximum error is 3.4% for an impedance of 46kΩ. The proposed circuit is also verified in an in-vitro test by measuring the electrode-tissue impedance of a subdural grid electrode sunk in the phosphate buffered saline (PBS) buffer.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"80 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":"125627522","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: 6
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