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2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

作者： Ozsahin, Ilker Ozsahin, Dilber Uzun Makarov, Pavel A. Mok, Greta S.P. The Department of Biomedical Engineering Faculty of Engineering DESAM Institute Near East University Turkish Republic of Northern Cyprus Nicosia Turkey Brain Health Imaging Institute Department of Radiology Weill Cornell Medicine New YorkNY United States Medical Diagnostic Imaging Department College of Health Sciences University of Sharjah Sharjah United Arab Emirates The Innovation and Information Technologies Center Near East University Turkish Republic of Northern Cyprus Nicosia Turkey The Biomedical Imaging Laboratory Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau China

ISBN: (纸本)9781728176932

Neurological diseases are currently one of the main causes of disability and mortality worldwide. Alzheimer's disease (AD) and Parkinson's disease (PD) are the two most common brain disorders with no cure. Neuroimaging based methods, such as magnetic resonance imaging (MRI), positron emission tomography (PET) and single photon emission computed tomography (SPECT) imaging, have been used to diagnose AD and PD. However, PET requires a cyclotron onsite for generally short-lived isotopes. In addition, PET and MRI are more expensive and less accessible. SPECT not only costs less than PET and MRI, but also has longer half-life isotopes available. The aim of this study is to evaluate a high sensitivity multi-pinhole brain SPECT system. The proposed system sensitivity was evaluated using Geant4 Application for Tomographic Emission. We first determined the design parameters by maximizing the sensitivity for a target resolution of 11.4 mm and field of view of 200 mm. The preliminary simulation results showed that a system sensitivity of 0.204% was achieved, which is very high compared to existing clinical brain SPECT systems. The improved sensitivity of the device can be traded for better spatial resolution, reduced injection dose or shortened acquisition time. © 2020 IEEE

关键词： Single photon emission computed tomography

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Guest Editorial Introduction to JSTQE Issue on Nanobiophotonics

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IEEE Journal of Selected Topics in Quantum Electronics 2021年第5期27卷

作者： Ilev, Ilko Armani, Andrea Tunnell, James Kim, Beop-Min Shih, Wei-Chuan Fales, Andrew Hildebrandt, Niko Center for Devices and Radiological Health U.S. Food and Drug Administration Silver SpringMD United States Department of Chemical Engineering and Materials Science University of Southern California Los AngelesCA United States Department of Biomedical Engineering The University of Texas at Austin AustinTX United States Department of Biomedical Engineering Korea University Seoul Korea Republic of Department of Electrical and Computer Engineering University of Houston HoustonTX United States Center for Devices and Radiological Health U.S. Food and Drug Administration Silver SpringMD United States Université Paris-Saclay and Université de Rouen Normandie Mont-Saint-Aignan France

The papers in this special section focus on nanobiophotonics. This is an emerging field of modern science and biomedical nanotechnology. This new field continues to vastly expand with state-of-the-art developments across the entire spectrum of biomedical applications ranging from fundamental studies of light-nanobiomaterial interactions to clinical diagnostics and therapeutics. In nanobiophotonics research areas, there has been a great impetus recently for the development of noninvasive imaging and sensing of intracellular structures and cellular functions as well as obtaining quantitative information for light-tissue interactions at the cellular, intracellular, and molecular level. Existing photonics technologies provide unique capabilities for investigating these scientific questions in terms of using non-ionizing optical radiation for providing noninvasive intracellular, cellular, and tissue imaging, and in-vivo sensing with ultrahigh resolution in the subwavelength nanoscale range (smaller than 100 nm). Furthermore, recent technology development efforts leverage the advanced features of photonics to move beyond the diffraction limit, providing sub-nanometer resolution into cellular processes.

关键词： Special issues and sections Nanobiophotonics Image resolution Optical sensors Optical imaging Optical diffraction Nanoscale devices Biosensors biomedical optical imaging

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A Wireless Near-Infrared Spectroscopy Device for Flap Monitoring: Proof of Concept in a Porcine Musculocutaneous Flap Model

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Journal of Reconstructive Microsurgery 2021年第2期38卷 096-105页

作者： Changsheng Wu Alina Y. Rwei Jong Yoon Lee Wei Ouyang Lauren Jacobson Haixu Shen Haiwen Luan Yameng Xu Jun Bin Park Sung Soo Kwak Xiaoyue Ni Wubin Bai Daniel Franklin Shuo Li Yiming Liu Xinchen Ni Amanda M. Westman Matthew R. MacEwan John A. Rogers Mitchell A. Pet Department of Materials Science and Engineering Querrey Simpson Institute for Bioelectronics Northwestern University Chicago Illinois Department of Chemical Engineering Delft University of Technology Delft The Netherlands Sibel Inc. Evanston Illinois Division of Plastic and Reconstructive Surgery Department of Surgery School of Medicine Washington University St. Louis Missouri Department of Materials Science and Engineering Northwestern University Evanston Illinois Department of Neurosurgery School of Medicine Washington University St. Louis Missouri Department of Electrical and Computer Engineering Northwestern University Evanston Illinois Department of Mechanical Engineering Northwestern University Evanston Illinois Department of Biomedical Engineering Northwestern University Evanston Illinois Department of Chemistry Northwestern University Evanston Illinois Department of Neurological Surgery Feinberg School of Medicine Northwestern University Chicago Illinois

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Novel Smart N95 Filtering Facepiece Respirator with Real-time Adaptive Fit Functionality and Wireless Humidity Monitoring for Enhanced Wearable Comfort

arXiv

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arXiv 2023年

作者： Kwon, Kangkyu Lee, Yoon Jae Jung, Yeongju Soltis, Ira Choi, Chanyeong Na, Yewon Romero, Lissette Kim, Myung Chul Rodeheaver, Nathan Kim, Hodam Lloyd, Michael S. Zhuang, Ziqing King, William Xu, Susan Ko, Seung-Hwan Lee, Jinwoo Yeo, Woon-Hong School of Electrical and Computer Engineering College of Engineering Georgia Institute of Technology AtlantaGA30332 United States Center for Human-Centric Interfaces and Nanoengineering Institute for Electronics and Nanotechnology Georgia Institute of Technology AtlantaGA30332 United States Applied Nano and Thermal Science Lab Department of Mechanical Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology AtlantaGA30332 United States School of Industrial Design Georgia Institute of Technology AtlantaGA30332 United States Division of Cardiology Emory University School of Medicine AtlantaGA30322 United States National Institute for Occupational Safety and Health National Personal Protective Technology Laboratory PittsburghPA15236 United States Seoul National University Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Mechanical Robotics and Energy Engineering Dongguk University 30 Pildongro 1-gil Jung-gu Seoul04620 Korea Republic of Wallace H. Coulter Department of Biomedical Engineering Parker H. Petit Institute for Bioengineering and Biosciences Neural Engineering Center Institute for Materials Institute for Robotics and Intelligent Machines Georgia Institute of Technology AtlantaGA30332 United States

The widespread emergence of the COVID-19 pandemic has transformed our lifestyle, and facial respirators have become an essential part of daily life. Nevertheless, the current respirators possess several limitations such as poor respirator fit because they are incapable of covering diverse human facial sizes and shapes, potentially diminishing the effect of wearing respirators. In addition, the current facial respirators do not inform the user of the air quality within the smart facepiece respirator in case of continuous long-term use. Here, we demonstrate the novel smart N-95 filtering facepiece respirator that incorporates the humidity sensor and pressure sensory feedback-enabled self-fit adjusting functionality for the effective performance of the facial respirator to prevent the transmission of airborne pathogens. The laser-induced graphene (LIG) constitutes the humidity sensor, and the pressure sensor array based on the dielectric elastomeric sponge monitors the respirator contact on the user’s face, providing the sensory information for a closed-loop feedback mechanism. As a result of the self-fit adjusting mode along with elastomeric lining, the fit factor is increased by 3.20 and 5 times at average and maximum respectively. We expect that the experimental proof-of-concept of this work will offer viable solutions to the current commercial respirators to address the *** Codes 92C55 Copyright © 2023, The Authors. All rights reserved.

关键词： Graphene

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Multiregion Multiscale Image Segmentation with Anisotropic Diffusion 25th

Multiregion Multiscale Image Segmentation with Anisotropic D...

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25th International Conference on Pattern Recognition Workshops, ICPR 2020

作者： Prasath, V. B. Surya Thanh, Dang Ngoc Hoang Hai, Nguyen Hoang Dvoenko, Sergey Department of Electrical Engineering and Computer Science University of Cincinnati CincinnatiOH45221 United States Division of Biomedical Informatics Cincinnati Children’s Hospital Medical Center CincinnatiOH45229 United States Department of Biomedical Informatics College of Medicine University of Cincinnati CincinnatiOH45267 United States Department of Pediatrics University of Cincinnati College of Medicine CincinnatiOH45257 United States Department of Information Technology School of Business Information Technology University of Economics Ho Chi Minh City Ho Chi Minh City Viet Nam Department of Computer Science Vietnam-Korea University of Information and Communication Technology – The University of Danang Danang Viet Nam Department of Information Security Institute of Applied Mathematics and Computer Science Tula State University Tula city Russia

ISBN: (纸本)9783030688202

We present a multiregion image segmentation approach which utilizes multiscale anisotropic diffusion based scale spaces. By combining powerful edge preserving anisotropic diffusion smoothing with isolevel set linking and merging, we obtain coherent segments which are tracked across multiple scales. A hierarchical tree representation of the given input image with progressively simplified regions is used with intra-scale splitting and inter-scale merging for obtaining multiregion segmentations. Experimental results on natural and medical images indicate that multiregion, multiscale image segmentation (MMIS) approach obtains coherent segmentation results. © 2021, Springer Nature Switzerland AG.

关键词： Diffusion

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Light polarization interaction with skin conditions assessed by polarization sensitive optical coherence tomography

Light polarization interaction with skin conditions assessed...

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Novel Techniques in Microscopy, NTM 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021

作者： Zhou, Xin Louie, Daniel C. Maloufia, Sina Tchvialeva, Lioudmila Lee, Tim K. Tang, Shuo Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada School of Biomedical Engineering University of British Columbia VancouverBCV6T 1Z4 Canada Department of Dermatology and Skin Science Photomedicine Institute University of British Columbia Vancouver Coastal Health Research Institute VancouverBCV5Z 4E8 Canada Cancer Control Research Program BC Cancer VancouverBCV5Z 1L3 Canada

Polarization sensitive optical coherence tomography (PS-OCT) is utilized to assess skin characterizations, including layered tissue structures, light depolarization, and tissue birefringence. The multiple contrasts fr... 详细信息

ISBN: (纸本)9781557528209

关键词： Optical tomography

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Erratum to “Hold-Up Time Compensation Circuit of Half-Bridge LLC Resonant Converter for High Light-Load Efficiency” [Dec 2020 13126-13135]

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IEEE Transactions on Power Electronics 2021年第2期36卷 2446-2446页

作者： Yeonho Jeong Min-Su Lee Jae-Do Park Jae-Kuk Kim Ronald A. L. Rorrer Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston USA

Presents corrections to the above named paper.

关键词： Switching converters Bridge converters RLC circuits Resonant converters

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Bi-level optimization for electricity transaction in smart community with modular pump hydro storage

Bi-level optimization for electricity transaction in smart c...

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ASME 2020 International Design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2020

作者： Chen, Yang Kou, Xiao Olama, Mohammed Zandi, Helia Liu, Chenang Kassaee, Saiid Smith, Brennan T. Abu-Heiba, Ahmad Momen, Ayyoub M. Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville United States Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge United States School of Industrial Engineering and Management Oklahoma State University Stillwater United States Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville United States Energy and Transportation Science Division Oak Ridge National Laboratory Oak Ridge United States

ISBN: (纸本)9780791883952

Grid integration of the increasing distributed energy resources could be challenging in terms of new infrastructure investment, power grid stability, etc. To resolve more renewables locally and reduce the need for extensive electricity transmission, a community energy transaction market is assumed with market operator as the leader whose responsibility is to generate local energy prices and clear the energy transaction payment among the prosumers (followers). The leader and multi-followers have competitive objectives of revenue maximization and operational cost minimization. This non-cooperative leader-follower (Stackelberg) game is formulated using a bi-level optimization framework, where a novel modular pump hydro storage technology (GLIDES system) is set as an upper level market operator, and the lower level prosumers are nearby commercial buildings. The best responses of the lower level model could be derived by necessary optimality conditions, and thus the bi-level model could be transformed into single level optimization model via replac ing the lower level model by its Karush-Kuhn-Tucker (KKT) necessary conditions. Several experiments have been designed to compare the local energy transaction behavior and profit distribution with the different demand response levels and different local price structures. The experimental results indicate that the lower level prosumers could benefit the most when local buying and selling prices are equal, while maximum revenue potential for the upper level agent could be reached with non-equal trading prices. © 2020 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Investments

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Strategic Attention Learning for Modality Translation

Strategic Attention Learning for Modality Translation

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Jonathan Martinez Ali Akbari Kaan Sel Roozbeh Jafari Departments of Computer Science and Engineering Texas A&M University College Station TX USA Biomedical Engineering Texas A&M University College Station TX USA Electrical and Computer Engineering Texas A&M University College Station TX USA

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Novel wearable sensor modalities, such as bio-impedance (Bio-Z), are being introduced and often provide various advantages over current state-of-the-art in terms of accuracy, sensing coverage, or convenience of wear. The principal challenge, however, lies in the ability to interpret the sensor reading by healthcare providers. In this work, we propose a two-stage deep learning framework that leverages a novel attention mechanism to translate Bio-Z signals to highly interpretable electrocardiogram (ECG) waveforms while also predicting translation uncertainty. Our experiments indicate a 66% improvement in accuracy for 1D-CNN based models to perform competitively with more sophisticated hybrid CNN-LSTM based models in a fraction of the training time while also providing a valid uncertainty measurement.

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Three-antennas FMCW Radar for Self-consistent Snowpack Monitoring 13

Three-antennas FMCW Radar for Self-consistent Snowpack Monit...

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13th European Conference on Antennas and Propagation, EuCAP 2019

作者： Pasian, M. Espin-Lopez, P.F. Barbolini, M. Dellracqua, F. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Flow-Ing S.r.l. La Spezia Italy

ISBN: (纸本)9788890701887

Microwave radars have the potential to monitor the internal structure of the snowpack, delivering real-time and non-destructive measurements. Recently, an innovative radar architecture able to identify some of the most important snowpack parameters without external aids has been demonstrated. A key point of this new architecture is the use of two independent receiving antennas, and one transmitting antenna. This paper presents the comparison between two different implementations, either based on one physical antennas miming two receiving antennas, or based directly on two physical receiving antennas. Experimental results are reported to discuss the different advantages and disadvantages. © 2019 European Association on Antennas and Propagation.

关键词： Receiving antennas

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