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17th International Conference on Miniaturized Systems for Chemistry and Life sciences, MicroTAS 2013

作者： Jing, Tengyang Ramji, Ramesh Warkiani, Majid Ebrahimi Lim, Chwee Teck Han, Jongyoon Chen, Chia-Hung Department of Bioengineering National University of Singapore Singapore Singapore Singapore Singapore Department of Mechanical Engineering National University of Singapore Singapore Singapore National University of Singapore Singapore Singapore Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology United States Department of Biological Engineering Massachusetts Institute of Technology United States Singapore Singapore

ISBN: (纸本)9781632666246

In this work, a droplet microfluidic device integrated with droplet sorting function was presented for single cancer cell encapsulations and protease activity measurements. Individual cells were encapsulated into aqueous droplets at flow focusing junction under jetting conditions. Droplets with cells encapsulated inside are larger than other empty droplets, enabling effective droplet sorting through a deterministic lateral displacement micro-pillar design. All droplets with cells are therefore collected by an observation chamber for enzymatic activity monitoring. Here we focused on measuring matrix metalloproteinase (MMPs) secretion intensities at the individual cell level to obtain further insights into the malignant characteristics of these cells.

关键词： Drops

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Multiscale, dictionary-based speckle denoising

Multiscale, dictionary-based speckle denoising

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Computational Optical Sensing and Imaging, COSI 2013

作者： Krishnamurthy, Kalyani Mrozack, Alex Maggioni, Mauro Brady, David Duke Imaging and Spectroscopy Program Department of Electrical and Computer Engineering Duke University Box 90291 Durham NC 27708 United States Departments of Mathematics and Computer Science Duke University Box 90320 Durham NC 27708 United States

We propose a multiscale, dictionary-based, data-adaptive estimation method to recover intensities from multiplicative, speckle data. The proposed method preserves the edges and textures in the underlying image while s... 详细信息

ISBN: (纸本)9781557529756

关键词： Speckle

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Vector beams and vector fields: A look at methods of generation and potential applications

Vector beams and vector fields: A look at methods of generat...

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Frontiers in Optics, FIO 2013

作者： Toussaint, Kimani C. University of Illinois Urbana-Champaign IL 61820 United States Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign IL 61820 United States Affiliate in the departments of Electrical and Computer Engineering and Bioengineering University of Illinois Urbana-Champaign IL 61820 United States

Potential applications of vector fields and beams, each of which is characterized by a spatially dependent polarization distribution, will be discussed. Various methods of generating such fields will also be presented... 详细信息

ISBN: (纸本)9781557529879

关键词： Diffraction limit Electric fields Optical fields Spatial light modulators Stimulated emission depletion microscopy Vector beams Instrumentation, measurement, and metrology (120.0120) Polarization (260.5430)

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Guest editorial special issue on medical imaging and image computing in computational physiology

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IEEE Transactions on Medical Imaging 2013年第1期32卷 1-7页

作者： Frangi, Alejandro F. Hose, D. Rod Hunter, Peter J. Ayache, Nicholas Brooks, Dana Department of Mechanical Engineering University of Sheffield Sheffield S1 3JD United Kingdom Department of Cardiovascular Science University of Sheffield Sheffield S10 2RX United Kingdom Auckland Bioengineering Institute University of Auckland Auckland 1010 New Zealand INRIA Sophia-Antipolis Sophia-Antipolis Sophia-Antipolis 06560 France Department of Electrical and Computer Engineering Northeastern University Boston MA 02115 United States

The January 2013 Special Issue of IEEE transactions on medical imaging discusses papers on medical imaging and image computing in computational physiology. Aslanid and co-researchers present an experimental technique based on stained micro computed tomography (CT) images to construct very detailed atrial models of the canine heart. The paper by Sebastian proposes a model of the cardiac conduction system (CCS) based on structural information derived from stained calf tissue. Ho, Mithraratne and Hunter present a numerical simulation of detailed cerebral venous flow. The third category of papers deals with computational methods for simulating medical imagery and incorporate knowledge of imaging physics and physiology/biophysics. The work by Morales showed how the combination of device modeling and virtual deployment, in addition to patient-specific image-based anatomical modeling, can help to carry out patient-specific treatment plans and assess alternative therapeutic strategies.

关键词： Medical imaging

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ESICM LIVES 2016: part two

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Intensive Care Medicine Experimental 2016年第1期4卷 205-404页

作者： S. Sivakumar F. S. Taccone K. A. Desai C. Lazaridis M. Skarzynski M. Sekhon W. Henderson D. Griesdale L. Chapple A. Deane L. Williams R. Strickland K. Lange D. Heyland M. Chapman M. J. Rowland P. Garry J. Westbrook R. Corkill C. A. Antoniades K. T. Pattinson G. Fatania A. J. Strong R. B. Myers C. M. Jermaine C. S. Robertson C. G. Rusin J. Hofmeijer L. Sondag M. C. Tjepkema-Cloostermans A. Beishuizen F. H. Bosch M. J. A. M. van Putten L. Carteron C. Patet D. Solari M. Oddo M. A. Ali C. Dias R. Almeida A. Vaz-Ferreira J. Silva E. Monteiro A. Cerejo A. P. Rocha A. A. Elsayed A. M. Abougabal B. N. Beshey K. M. Alzahaby S. Pozzebon A. Blandino Ortiz S. Cristallini O. Lheureux A. Brasseur J. L. Vincent J. Creteur M. Hravnak K. Yousef Y. Chang E. Crago R. M. Friedlander S. A. Abdelmonem S. A. Tahon T. A. Helmy H. S. Meligy F. Puig I. Dunn-Siegrist J. Pugin S. Gupta D. Govil S. Srinivasan S. J. Patel J. K. N A. Gupta D. S. Tomar M. Shafi R. Harne D. P. Arora N. Talwar S. Mazumdar E. E. Papakrivou D. Makris E. Manoulakas B. Tsolaki B. Karadodas E. Zakynthinos I. Palacios Garcia A. Diaz Martin V. Sanchez Encinares M. Pachón Ibañez J. Garnacho Montero G. Labrador T. Cebrero Cangueiro V. Poulose J. Koh J. W. Kam H. Yeter A. Kara O. Aktepe A. Topeli I. Tsolakoglou G. Intas P. Stergiannis A. A. Kolaros E. Chalari E. Athanasiadou A. Martika G. Fildisis V. Faivre C. Mengelle B. Favier D. Payen A. Poppe M. S. Winkler E. Mudersbach J. Schreiber M. L. Wruck E. Schwedhelm S. Kluge C. Zöllner T. Tavladaki A. M. Spanaki H. Dimitriou E. Kondili C. Choulaki E. Meleti D. Kafetzopoulos D. Georgopoulos G. Briassoulis A. García-de la Torre M. V. de la Torre-Prados T. Tsvetanova-Spasova P. Nuevo-Ortega C. Rueda-Molina A. Fernández-Porcel E. Camara-Sola L. Salido-Díaz A. García-Alcántara D. E. Meleti B. Suberviola J. Riera L. Rellan M. Sanchez J. C. Robles E. Lopez R. Vicente E. Miñambres M. Santibañez M. Le Guen J. Moore N. Mason M. Windpassinger O. Plattner E. Mascha D. I. Sessler Outcomes Research U. Melia J. Fontanet J. P. van den Berg M. Baylor College of Medicine Neurology/Neurocritical Care Houston USA Erasmus Hospital Intensive Care Medicine Brussels Belgium Centre Hospitalier Régional Orléans Réaimation Médicale Orléans France University of British Columbia Vancouver Canada University of Adelaide Discipline of Acute Care Medicine Adelaide Australia Royal Adelaide Hospital Intensive Care Adelaide Australia Griffith University Menzies Health Institute of Queensland Gold Coast Australia University of Adelaide Discipline of Medicine Adelaide Australia Kingston General Hospital Clinical Evaluation Research Unit Kingston Canada University of Oxford Nuffield Department of Clinical Neurosciences Oxford UK Oxford University Hospitals NHS Foundation Trust Neurosciences Intensive Care Unit Oxford UK King’s College Hospital Department of Neurosurgery London UK King’ College London Institute of Psychiatry Psychology and Neuroscience Department of Clinical Neuroscience London UK Rice University Computer Science Houston USA Baylor College of Medicine Neurosurgery Houston USA Baylor College of Medicine Pediatric Cardiology Houston USA University of Twente Clinical Neurophysiology Enschede Netherlands Rijnstate Hospital Neurology Arnhem Netherlands Medical Spectrum Twente Clinical Neurophysiology Enschede Netherlands Medical Spectrum Twente Intensive Care Enschede Netherlands Rijnstate Hospital Intensive Care Arnhem Netherlands CHUV Department of Intensive Care Medicine Neuroscience Critical Care Research Group Lausanne Switzerland Aga Khan University Hospital Anaesthesiology Karachi Pakistan Centro Hospitalar São João Intensive Care Porto Portugal Faculty of Medicine University of Porto Medicine Porto Portugal Faculdade de Ciências Universidade do Porto Departamento de Matemática Porto Portugal Centro de Matemática Universidade do Porto Porto Portugal The Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine Zaragoza Spain Centro Hospitalar

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Low-power signal processing methodologies for implantable biosensing platforms

Low-power signal processing methodologies for implantable bi...

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2013 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2013

作者： Croce Jr., Robert A. Vaddiraju, Santhisagar Legassey, Allen Islam, Syed K. Papadimitrakopoulos, Fotios Jain, Faquir C. IBiorasis Inc. Technology Incubation Program Storrs CT 06269 United States Dept. of Chemistry Institute of Materials Science University of Connecticut Storrs CT 06269 United States Department of Electrical and Computer Engineering University of Connecticut Storrs CT 06269 United States Analog VLSI and Devices Laboratory Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN 37996 United States

ISBN: (纸本)9781479930074

This paper presents the design and implementation of highly-miniaturized, low-power CMOS signal conditioning schemes intended for use in a totally implantable biomedical sensor platform. Due to the thrust for the development implantable biomedical sensing systems for health management and disease prevention, there exists a need for signal processing schemes which occupy very little on-chip real estate and consume negligible amounts of power. In light of this, this paper presents both a CMOS current-to-frequency converter and voltage-tofrequency converter which have been designed primarily for use in implantable biosensing platforms and applications. Such designs can be implemented in stand-alone single sensor designs, or in tandem to create multi-analyte architectures. The versatility of employing current-to-frequency as well as voltageto- frequency signal transduction schemes presents an avenue for the integration with any electrochemical sensing element which has been fabricated in an amperometric or voltammetric fashion. Furthermore, we demonstrate the efficacy of both these circuit designs by integrating them together with high performance electrochemical implantable glucose and pH sensors. The low power consumption and miniature size of the amperometric and voltammetric signal processing units (0.25 mm2 and 18 IlW / 0.045 mm2 and 122 IlW, respectively) presents an ideal design for signal processing in implantable continuous metabolic monitoring devices.

关键词： Signal processing

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Optics: Large-Field-of-View Wide-Spectrum Artificial Reflecting Superposition Compound Eyes (Small 15/2014)

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Small 2014年第15期10卷

作者： Chi-Chieh Huang Xiudong Wu Hewei Liu Bader Aldalali John A. Rogers Hongrui Jiang Department of Electrical and Computer Engineering University of Wisconsin – Madison Madison WI 53706 USA Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Department of Electrical and Computer Engineering McPherson Eye Research Institute Materials Science Program Department of Biomedical Engineering University of Wisconsin – Madison Madison WI 53706 USA

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Novel automatic posture detection for in-patient care using IMU sensors

Novel automatic posture detection for in-patient care using ...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Vo Nhat Nguyen Haoyong Yu Department of Electrical Engineering and School of Computer Science National University of Singapore Singapore Department of Bioengineering National University of Singapore Singapore

Posture detection using Inertia Measurement Unit (IMU) has recently attracted great interests in healthcare research community. However, very few studies focus on the applications of this technology in the care of inpatients. This specific group of users, who are moderately to severely ill, have a distinct set of postures and activities that require special attentions and continuous monitoring from clinicians. In this paper, we present a novel methodology for automatic detection of postures for hospitalized patients using two wearable IMU sensors, with tri-axial accelerometers, attached at the chest and the abdomen respectively. The data were collected from participants who were carefully instructed to perform activities and attain postures that simulate those of hospitalized patients in real life. From the data retrieved, we performed orientation analysis for acceleration vectors and transition analysis for transitional activities between various postures. Both rule-based detection and Artificial Neural Network (ANN) for transition recognition achieved high accuracy. The results also showed that a combination of orientation and transition study could enhance the robustness of the detection algorithm. Due to its efficiency and simplicity, the proposed method could find its way into many applications that aim to improve the current state of inpatient healthcare.

关键词： Decision support systems Conferences Robots Automation Mechatronics Random access memory

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Analysis of poultry vocalizations for age estimation using cepstral coefficients and C4.5 classification

Analysis of poultry vocalizations for age estimation using c...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2013

作者： Parrish, N.V. Anderson, D.V. Daley, W.D.R. Britton, D.F. Harbert, S. Webster, A.B. Ritz, C.W. School of Electrical and Computer Engineering Georgia Institute of Technology United States Agricultural Technology Research Program Georgia Tech. Research Institute United States Poultry Science Department University of Georgia United States

ISBN: (纸本)9781627486651

Poultry scientists and researchers have been studying the possibility of identifying bird stress from the vocal patterns of broiler flocks. Being able to identify stress or sickness in a flock can lead to early interventions. However, as the flock ages, the vocal properties change. This paper presents the preliminary results of an age classification technique using the C4.5 decision three algorithm using Mel-frequency cepstral coefficients (MFCCs), audio frequencies commonly used from speech processing. Sound data was collected continuously over a 61-day period. The flock was composed of 400 Cobb500™ broilers raised under research conditions mimicking commercial operations. Results of the data processing and the C4.5 classification indicate that age can be determined within one day of error with 70% frequency. This process of determining age of a flock is intended to be the first step in a larger comprehensive system for identifying the condition of the flock and assessing animal welfare.

关键词： Animals

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Software engineering Education via the Use of Corporate-Sponsored Projects: A Panel Discussion of the Approaches, Benefits, and Challenges for Industry-Academic Collaboration

Software Engineering Education via the Use of Corporate-Spon...

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IEEE Conference on Software engineering Education and Training

作者： Linda Werner Geoff Kuenning Mark Sebern James Vallino W. Eric Wong Department of Computer Science Senior Design Projects Program Jack Baskin School of Engineering University of California Department of Computer Science Clinic Program Harvey Mudd College Department of Electrical Engineering and Computer Science Software Engineering Program Milwaukee School of Engineering Department of Software Engineering Senior Projects Program Rochester Institute of Technology Department of Computer Science Software Engineering Project University of Texas at Dallas

ISBN: (纸本)9781467351386

In this panel, we will address questions regarding the development and execution of one type of industry-academic collaboration - corporate-sponsored projects. As representatives of programs at both public and private institutions, we will address a set of questions related to these programs. We have prepared an initial list that will be augmented with questions submitted and voted on by conference participants in advance of the session. After we have presented our prepared responses, the balance of the session will be dedicated to open discussion with audience members.

关键词： Device Panel engineering education Software engineering Legislators Legal Executions advance Debates Education

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