2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings最新文献

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An active micro-electrode array with spike detection and asynchronous readout 具有尖峰检测和异步读出的有源微电极阵列
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981794
T. Datta, Bathiya Senevirathna, Alexander Castro, E. Smela, P. Abshire
{"title":"An active micro-electrode array with spike detection and asynchronous readout","authors":"T. Datta, Bathiya Senevirathna, Alexander Castro, E. Smela, P. Abshire","doi":"10.1109/BioCAS.2014.6981794","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981794","url":null,"abstract":"We present an active micro-electrode array for neural recording with integrated spike detection and an asynchronous readout architecture. Neural amplifier arrays generate voluminous data because of the necessary per-channel sampling rates and number of channels in a dense array. Most of the time, neural cells produce well below 100 spikes per second, with action potential durations generally on the order of 1 ms, and accordingly much of the recorded data from a neural amplifier is not of interest. In the case of dense arrays recording from single units, only the timing of action potentials is relevant and spike sorting is not required. In such a case, the bandwidth requirement of the neural array can be reduced by employing an event-driven data communication protocol such as address event representation (AER). In our array, these events are generated by the spike detection circuits and then relayed to AER modules that send the address of the spiking neuron off-chip using a digital encoding scheme. Based on simulation data, the system implemented here reduces bandwidth requirements by a factor of 1600 in comparison to traditional synchronous sampling.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"19 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":"127867778","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: Characterization of a wireless implantable infusion micropump for small animal research under simulated in vivo conditions 现场演示:在模拟体内条件下用于小动物研究的无线植入式输液微泵的特性
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981685
Angelica M. Cobo, Heidi Tu, R. Sheybani, E. Meng
{"title":"Live demonstration: Characterization of a wireless implantable infusion micropump for small animal research under simulated in vivo conditions","authors":"Angelica M. Cobo, Heidi Tu, R. Sheybani, E. Meng","doi":"10.1109/BioCAS.2014.6981685","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981685","url":null,"abstract":"Rodents are the most widely used animal model in the study of human disease and drug administration technologies suitable for use in rodents are therefore critically important in the development of new treatments. Implantable drug delivery devices provide site specific and controlled drug administration while eliminating frequent handling, tethers, and stress induction associated with other drug delivery methods. Although implantable pumps are commercially available, none are suitable for controlled chronic dosing experiments in mice. These commercial pumps possess one or more of the following deficiencies: too large, limited drug payload, limited lifetime due to single-use battery, single fixed flow rate, or inability to adjust flow rate after implantation.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"123 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":"115608556","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
Live demonstration: A CMOS sensor platform with 1.2 µm × 2.05 µm electroless-plated 1024 × 1024 microelectrode array for high-sensitivity rapid direct bacteria counting 现场演示:具有1.2µm × 2.05µm化学镀1024 × 1024微电极阵列的CMOS传感器平台,用于高灵敏度快速直接细菌计数
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981688
S. Ota, K. Niitsu, H. Kondo, M. Hori, K. Nakazato
{"title":"Live demonstration: A CMOS sensor platform with 1.2 µm × 2.05 µm electroless-plated 1024 × 1024 microelectrode array for high-sensitivity rapid direct bacteria counting","authors":"S. Ota, K. Niitsu, H. Kondo, M. Hori, K. Nakazato","doi":"10.1109/BioCAS.2014.6981688","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981688","url":null,"abstract":"High-sensitivity rapid direct bacteria counting is an essential key method for point-of-care testing. Counting pathogens (cells, viruses, and bacteria) directly in real time with high sensitivity is useful in maintaining human health and preventing pandemics or bioterrorism. However, conventional counting methods with high sensitivity such as the polymerase chain reaction and cultivation-based biochemical testing are time consuming and require controlled places and well-trained staff. On the other hand, conventional rapid approaches such as immuno-chromatography and ATP bioluminescence schemes are insufficient with respect to sensitivity. As an alternative, electro-chemical sensing approaches using a microelectrode have been intensely investigated because of its high-sensitivity, simplicity, and high-throughput. In this work, a CMOS sensor platform with a bacteria-sized (1.2 μm × 2.05 μm) Au electroless-plated 1024 × 1024 microelectrode array for high-sensitivity rapid direct bacteria counting is demonstrated. For high-sensitivity direct pathogen counting, Au microelectrodes are required to be as small as the target cell. By improving a self-aligned electroless plating technique, the size of microelectrodes on a CMOS sensor chip was successfully reduced to 1.2 μm × 2.05 μm, corresponding to 1/20th of the smallest size reported in literature. Two test chips with 1024 × 1024 and 32 × 32 sensor arrays were fabricated in a 0.6-μm CMOS process and microelectrodes were formed on them using electroless plating. In this demonstration, 2D counting used 32 × 32 sensor arrays with silicone (fig. 1) by CV is introduced.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"127 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":"115622108","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
In vivo monitoring of blood-brain barrier leakage by using photoacoustic microscopy 光声显微镜在体内监测血脑屏障渗漏
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981653
Weitao Li, Lidong Xing, Ling Tao, Z. Qian, Liming Nie
{"title":"In vivo monitoring of blood-brain barrier leakage by using photoacoustic microscopy","authors":"Weitao Li, Lidong Xing, Ling Tao, Z. Qian, Liming Nie","doi":"10.1109/BioCAS.2014.6981653","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981653","url":null,"abstract":"Monitoring and evaluation of vascular leakage in brain is important in the research area of brain injuries and edema. A high-resolution photoacoustic microscopy (PAM) was developed to monitor the blood-brain barrier (BBB) permeability using Evans blue (EB) dye. We used a mouse traumatic brain injury (TBI) to validate the usefulness of our system. The uptake of EB in brain vessels was continuously studied for 2 hours after injection in a normal mouse. The TBI mice with and without injection of EB were both scanned by PAM for 2 hours, respectively. The PAM results showed that EB was a high contrast agent for PAM images and the degree of BBB leakage was accessed by EB leakage. Our studies demonstrate that PAM has potential in monitoring BBB leakage in vivo.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"45 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":"124559801","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
General expression based inner loop unrolling scheme for TV-GD algorithm adopted in photoacoustic imaging 基于通用表达式的TV-GD光声成像内环展开方案
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981662
Jiasen Huang, Junyan Ren, Jun Xu, Yuanyuan Wang
{"title":"General expression based inner loop unrolling scheme for TV-GD algorithm adopted in photoacoustic imaging","authors":"Jiasen Huang, Junyan Ren, Jun Xu, Yuanyuan Wang","doi":"10.1109/BioCAS.2014.6981662","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981662","url":null,"abstract":"Although the total variation based gradient descent (TV-GD) algorithm has revealed a good performance for photoacoustic imaging (PAI), fast or real-time imaging remains a challenge. In this paper, the data dependencies that exist in the TV-GD algorithm were exploited, and a general expression was then for the first time derived to unroll the inner loop that occupied the majority of the entire running time of the algorithm. All the terms consisting of the measurement matrices or the under-sampled datasets were then extracted and preprocessed rather than being calculated along with reconstruction. For implementation, we accessed the JACKET toolbox to parallelize the execution of the matrix-vector multiplications and the vector additions generated by the general expression itself. The under-sampled dataset with 30, 60, 90 and 120 projections were adopted to reconstruct a 128×128 Shepp-Logan Phantom. The simulation results revealed a minimum reconstruction time of 0.64s in the case of the 60-view data, and a maximum speedup of 69X from the 120-view dataset.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"6 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":"115008532","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 new microcontroller-based system to optimize the digital conversion of signals originating from load cells built-in into pedals 一种新的基于微控制器的系统,用于优化从内置到踏板的称重传感器发出的信号的数字转换
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981722
A. Proto, Daniele Bibbo, S. Conforto, M. Schmid
{"title":"A new microcontroller-based system to optimize the digital conversion of signals originating from load cells built-in into pedals","authors":"A. Proto, Daniele Bibbo, S. Conforto, M. Schmid","doi":"10.1109/BioCAS.2014.6981722","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981722","url":null,"abstract":"During cycling, the measurement of forces exerted on the pedal is used to monitor the level of training and to maximize the efficiency of pedaling. In rehabilitation, the force measurement can be used to monitor the functional recovery of a patient during a therapy. In these situations, it is useful to quantify with high resolution these variables. In this work a solution to remove the DC offset at the input of an AD converter for force measurement systems, based on strain gauges load cells, is presented. This circuit has been integrated into a device used in sports and in rehabilitation contexts, that relies on a couple of cycling instrumented pedals. The system designed in this work aims at obtaining these results in a simple way and with its complete integration into the control circuit of the instrumented pedals.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"29 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":"123655852","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
Energy harvesting system for wireless body sensor nodes 无线身体传感器节点能量收集系统
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981751
A. Liberale, E. Dallago, A. L. Barnabei
{"title":"Energy harvesting system for wireless body sensor nodes","authors":"A. Liberale, E. Dallago, A. L. Barnabei","doi":"10.1109/BioCAS.2014.6981751","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981751","url":null,"abstract":"In this paper a photovoltaic energy harvesting system for wireless body area network applications is presented. The device is able to store the energy produced by the harvester in a storage element, acquire data from a generic body sensor and transmit the information wirelessly to an external receiver. The system is supplied by a thin-film photovoltaic energy harvester, which is capable of ensuring a proper functioning of the system even in indoor lighting conditions, when the incident power is limited. The energy is accumulated in a supercapacitor, and, once enough energy has been stored, the data from the sensor are collected and transmitted to the receiver. The interface exhibits negligible power consumption during the charge of the capacitor. Wireless transmissions can be performed through a Bluetooth® or Zigbee® module to a smartphone or a personal computer, which is used as main receiver. The harvesting system proposed in this paper is fully autonomous, since no battery is required even for the start-up, and is designed to be coupled to a variety of sensors which can be worn by the patient.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"184 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":"124749905","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: 20
An implantable green fluorescence imaging device using absorption filters with high excitation light rejection ratio 一种植入式绿色荧光成像装置,采用高激发光抑制比的吸收滤光片
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981709
Yoshinori Sunaga, M. Haruta, Takahiro Yamaguchi, Mayumi Motoyama, Yasumi Ohta, H. Takehara, T. Noda, K. Sasagawa, T. Tokuda, J. Ohta
{"title":"An implantable green fluorescence imaging device using absorption filters with high excitation light rejection ratio","authors":"Yoshinori Sunaga, M. Haruta, Takahiro Yamaguchi, Mayumi Motoyama, Yasumi Ohta, H. Takehara, T. Noda, K. Sasagawa, T. Tokuda, J. Ohta","doi":"10.1109/BioCAS.2014.6981709","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981709","url":null,"abstract":"We have developed an implantable complementary-metal-oxide-semiconductor (CMOS) imaging device for green fluorescence imaging to observe various neural activities of the mouse brain in a freely moving state. The device comprises a CMOS image sensor, blue LEDs as excitation light sources, and absorption filters to enable real-time green fluorescence imaging. To observe weak green fluorescence reactions such as that of green fluorescent protein (GFP), we achieved efficient excitation light rejection using a combination of dedicated absorption filters and achieved the detection of GFP positive cells from mouse brain slices. It is expected that high-sensitivity green fluorescence imaging of neural activities in a freely moving mouse will be possible using this technology.","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":"131076385","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
On-line Local Mean Decomposition and its application to ECG signal denoising 在线局部均值分解及其在心电信号去噪中的应用
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981634
Hsea-Ching Hsueh, Shao-Yi Chien
{"title":"On-line Local Mean Decomposition and its application to ECG signal denoising","authors":"Hsea-Ching Hsueh, Shao-Yi Chien","doi":"10.1109/BioCAS.2014.6981634","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981634","url":null,"abstract":"Local Mean Decomposition (LMD) has long been proven as an effective method for the analysis of non-linear and non-stationary time series. In this work, an on-line version of LMD, called extended Sliding Local Mean Decomposition (eSLMD), is proposed. The property of eSLMD is examined through numerical simulations, and the performance is evaluated through the ECG noise removal with the test signal obtained from MIT-BIH arrhythmia ECG database. The results show that the proposed eSLMD has better decomposition performance than conventional LMD, and is potentially well suited for on-line and real-time biomedical applications.","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":"131007642","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
Cortical discrimination of natural vibration stimulation in rats for a BMI task 大鼠BMI任务中自然振动刺激的皮层辨别
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981799
Yan Cao, Fang Wang, Qiaosheng Zhang, Kedi Xu, Yiwen Wang, Xiaoxiang Zheng
{"title":"Cortical discrimination of natural vibration stimulation in rats for a BMI task","authors":"Yan Cao, Fang Wang, Qiaosheng Zhang, Kedi Xu, Yiwen Wang, Xiaoxiang Zheng","doi":"10.1109/BioCAS.2014.6981799","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981799","url":null,"abstract":"Sensory information, such as the tactile or proprioceptive signals, helps motor brain-machine interface (mBMI) work more naturally. Before applying sensory feedback, we need to explore if the neural activities are discriminative to different stimuli during a BMI task. Previous studies on the cortical discrimination are mainly focused on the rat whisker system. In this paper, we design a BMI task, where the freely behaving rat needs to maintain its position by poking a hole to receive the vibration stimulation on forepaws. Neural signals are collected synchronously from the corresponding sensory cortex when the rat is performing the task. Support Vector Machine (SVM) algorithm is implemented to evaluate the single trial classification of natural stimulus by neural ensembles. We find that the average classification accuracy reaches 80% over 3 rats, which suggests the vibration with different frequencies can be used as tactile feedback to the mBMI system.","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":"131017080","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
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