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2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献

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A 0.6 V 10 bit 120 kS/s SAR ADC for implantable multichannel neural recording 用于植入式多通道神经记录的0.6 V 10位120ks /s SAR ADC
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325192
X. Tong, Ronghua Wang
{"title":"A 0.6 V 10 bit 120 kS/s SAR ADC for implantable multichannel neural recording","authors":"X. Tong, Ronghua Wang","doi":"10.1109/BIOCAS.2017.8325192","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325192","url":null,"abstract":"A 10 bit fully-differential SAR ADC with multiple input channels is proposed for neural recording implants. The proposed SAR ADC incorporates both energy-efficient switching scheme and low power supply, leveraging on each other's strength to achieve low power consumption. Designed with 0.18 μm CMOS process, the 10 bit SAR ADC can operate at scalable sampling rate under 0.6 V power supply. Including an optimized analog multiplexer, this proposed ADC consumes 0.5 μW at a sampling rate of 120 kS/s and achieves the ENOB of 9.51, which is equivalent to a figure of merit of 7.03 fJ/Conversion step. The active area of this ADC is 386 μm × 345 μm.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"2 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":"129969306","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
An automated tracking system for Y-maze behavioral test using kinect depth imaging 一种基于kinect深度成像的y形迷宫行为测试自动跟踪系统
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325222
Zheyuan Wang, K. Murnane, Maysam Ghovanloo
{"title":"An automated tracking system for Y-maze behavioral test using kinect depth imaging","authors":"Zheyuan Wang, K. Murnane, Maysam Ghovanloo","doi":"10.1109/BIOCAS.2017.8325222","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325222","url":null,"abstract":"This paper presents an image processing system for automated tracking and behavior analysis of the popular Y-maze test on freely behaving rats, using depth imaging provided by a Microsoft Kinect® 2D/3D imager. A contour-based segmentation algorithm was developed to identify the maze shape and extract its arm and center divisions. Using the extraction results, the system is capable of tracking the animal position and arm entry sequence for calculating spontaneous alternations and other measures that are used in analyzing the animal working memory and activity. The system was validated in vivo on seven freely behaving rats, and the results showed perfect agreement with human annotations, 100% accuracy in arm entry tracking and less than 0.1 s error in time stamps of “enter/leave” actions.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"99 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":"114419193","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
A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection 一种65nm基于压缩感知时间的ADC，具有嵌入式分类和inl感知训练，用于心律失常检测
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325555
A. Anvesha, Shaojie Xu, J. Romberg, A. Raychowdhury
{"title":"A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection","authors":"A. Anvesha, Shaojie Xu, J. Romberg, A. Raychowdhury","doi":"10.1109/BIOCAS.2017.8325555","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325555","url":null,"abstract":"In-sensor analytics are in high demand to avoid high computation at server back end. Traditional analog sensors require high supply voltage in the range of 1–1.2V even when digital supplies are scaled down to 0.4V-0.6V. We propose a time-based compressed-domain analog-to-digital (ADC) based encoder with parallel processing units for arrhythmia classification. The computationally enhanced ADC performs in-situ compression along with analog to digital conversion. An accuracy of 84% accuracy is achieved with 10.5nJ energy per classification for an 8X compression ratio.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"53 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":"117352323","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: BCT-II — A hand-held, stand-alone, multimodal bio-sensing system 现场演示:BCT-II -一个手持，独立，多模态生物传感系统
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325089
Takeshi Shimizu, Masaki Tanaka, K. Nakazato
{"title":"Live demonstration: BCT-II — A hand-held, stand-alone, multimodal bio-sensing system","authors":"Takeshi Shimizu, Masaki Tanaka, K. Nakazato","doi":"10.1109/BIOCAS.2017.8325089","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325089","url":null,"abstract":"Complementary metal-oxide semiconductor (CMOS) integrated biosensors can be used to realize compact and highly integrated instruments with lower cost and greater ease than conventional optical approaches. Such sensor can eliminate time-consuming labeling processes, thus yielding real-time measurements with high throughput for applications, such as point-of-care testing or medical inspection at immigration. Moreover, the compatibility with communication and computer technologies enables gathering of sensed big data and medical diagnosis using artificial intelligence, by making connection with a main computer through the internet.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"27 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":"122027015","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 HBC-based continuous bio-potential system monitoring using 30MHz OOK modulation 基于hbc的连续生物电位监测系统，采用30MHz OOK调制
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325051
Nicolas Fahier, W. Fang
{"title":"An HBC-based continuous bio-potential system monitoring using 30MHz OOK modulation","authors":"Nicolas Fahier, W. Fang","doi":"10.1109/BIOCAS.2017.8325051","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325051","url":null,"abstract":"In this paper we describe a body grounded biomedical signal sensing system that uses the human body as a wireless transmission media. The body channel measurements in terms of path loss and frequency response lead the system to use an On-Off Keying type of modulation to ensure a successful signal transmission throughout the entire human body using a 30MHz carrier frequency for the OOK signal. The bio-potential signal sensing presented no disturbances while transmitting the signal and the results of the analog front receiver's output validates the use of this type of modulation for a transfer rate of 1.875Mbps, suitable for future time division based multiple access body sensor network and any body sensor locations.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"51 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":"125742971","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 portable system for real-time non-contact blood oxygen saturation measurements 用于实时非接触式血氧饱和度测量的便携式系统
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325137
Deepak Mishra, S. Chandra, Abhay Chandra, Siddhant Jain, M. Sarkar
{"title":"A portable system for real-time non-contact blood oxygen saturation measurements","authors":"Deepak Mishra, S. Chandra, Abhay Chandra, Siddhant Jain, M. Sarkar","doi":"10.1109/BIOCAS.2017.8325137","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325137","url":null,"abstract":"A portable low cost system for blood oxygen saturation (SpO2) measurement is developed in this paper. It uses the principles of polarization based optical sectioning of the light reflecting from bodyparts to measure the oxygen saturation. In contrast to the existing devices like oximeter, the proposed system does not require any body contact for the measurements. The proposed system is designed using commercial webcams and well known mini computer device, Raspberry-pi. A linear relationship between the SpO2 and ratio of the partially polarized and polarized light components is observed. The observed results of the SpO2 measurements are consistent with the reference.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"28 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":"124629468","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
Development of a two-tap time-resolved CMOS lock-in pixel image sensor with high charge storability and low temporal noise 具有高电荷存储性和低时间噪声的双抽头时间分辨CMOS锁相像素图像传感器的研制
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325224
M. Seo, S. Kawahito
{"title":"Development of a two-tap time-resolved CMOS lock-in pixel image sensor with high charge storability and low temporal noise","authors":"M. Seo, S. Kawahito","doi":"10.1109/BIOCAS.2017.8325224","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325224","url":null,"abstract":"A high charge storability and low noise performance are both of the significant parameters for the high sensitivity time-resolved (TR) CMOS image sensors (CISs). To achieve these, we have developed the high performance TR lock-in pixel CIS embedded with two in-pixel storage-diodes (SDs). For fast charge transfer from photodiode (PD) to SDs, a lateral electric field charge modulator (LEFM) is used for the developed lock-in pixel. As a result, the time-resolved CIS achieves a very large SD-FWC of approximately 7ke-, low temporal noise of 1.2e-rms at 20fps with true correlated double sampling (CDS) operation, and fast intrinsic response less than 500ps at 635nm. The proposed TR imager has an effective pixel array of 128(H)×256(V) and a pixel size of 11.2×11.2μm2. The sensor chip is fabricated by Dongbu HiTek 1-poly 4-metal 0.11-μm CIS process technology.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"13 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":"129317609","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
Scalable hybrid integration of CMOS circuits and fluidic networks for biosensor applications 生物传感器应用的CMOS电路和流体网络的可扩展混合集成
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325553
McKay Lindsay, Shaan Sengupta, Kevin Bishop, M. Co, Chien-Hua Chen, M. Cumbie, M. Johnston
{"title":"Scalable hybrid integration of CMOS circuits and fluidic networks for biosensor applications","authors":"McKay Lindsay, Shaan Sengupta, Kevin Bishop, M. Co, Chien-Hua Chen, M. Cumbie, M. Johnston","doi":"10.1109/BIOCAS.2017.8325553","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325553","url":null,"abstract":"CMOS-based optical and electrical sensors are attractive for lab-on-chip applications, where they provide high-sensitivity and dense scalability in a small, low-cost form factor. However, controlled delivery of fluid samples to the chip surface remains a difficult obstacle for lab-on-CMOS development. In this paper, we present a method for the scalable integration of fluidic channels and silicon integrated circuit (IC) substrates using a commercial fan-out wafer-level packaging (FOWLP) fabrication approach. After planar, near-seamless embedding of ICs in compression-molded epoxy wafers, we use standard semiconductor processing methods to define planar electrical contacts, and multi-layer laser-cut microfluidics are used to define channels over the IC surface. In the completed device, both electrical and fluidic routing are provided to a custom CMOS optical sensor IC, and an optical transmission experiment demonstrates combined connectivity and generalizable platform utility for lab-on-CMOS and lab-on-chip applications.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 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":"129552361","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
Fluorescence imaging device with an ultra-thin micro-LED 带有超薄微型led的荧光成像装置
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325204
K. Sasagawa, M. Haruta, Koki Fujimoto, Yasumi Ohta, T. Noda, T. Tokuda, J. Ohta
{"title":"Fluorescence imaging device with an ultra-thin micro-LED","authors":"K. Sasagawa, M. Haruta, Koki Fujimoto, Yasumi Ohta, T. Noda, T. Tokuda, J. Ohta","doi":"10.1109/BIOCAS.2017.8325204","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325204","url":null,"abstract":"In this work, we designed and fabricated an image sensor with an ultra-thin light-emitting diode (LED). The chip has areas with a metal shield for LEDs. An ultra-thin LED fabricated using the laser lift-off technique was mounted on the chip. Excitation and emission filters based on absorption dye were applied to the LED and the pixel array. We also performed a fluorescence imaging experiment by using the fabricated devices.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"7 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":"127037710","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
Activity dependent structural plasticity in neuromorphic systems 神经形态系统中活动依赖的结构可塑性
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325074
R. George, G. Indiveri, S. Vassanelli
{"title":"Activity dependent structural plasticity in neuromorphic systems","authors":"R. George, G. Indiveri, S. Vassanelli","doi":"10.1109/BIOCAS.2017.8325074","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325074","url":null,"abstract":"Research in neuroscience suggests that networks of biological neurons undergo a constant reconfiguration of their topology via activity-dependent plasticity mechanisms. The observed growing and retracting of dendritic spines can be hypothesized to be a resource-optimizing strategy that limits the amount of energy spent on maintaining a large number synapses that are not contributing to the networks performance. Neuromorphic analog VLSI emulates biophysical processes of neural tissue using CMOS transistors operated in the sub-threshold regime, to achieve high energy efficiency. One of the constraints that limits the scalability of neuromorphic information processing architectures is the number of available synapse-emulating circuits, which is naturally limited by the integrated circuits (ICs) layout dimensions. Here we explore the possibility to exploit structural plasticity as a biologically-inspired strategy for optimizing resource usage in neuromorphic processors. We propose a mechanism that allocates the limited number of synapses during runtime, in order to choose event-sources that best contribute to the postsynaptic neurons activity. In this context, we show that neuronal activity can serve as an indicator of what synapse to connect to which source, mimicking activity dependent dynamics of dendritic spines and making optimal allocation of the resources available on the neuromorphic hardware.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 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":"130009929","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
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