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Rapid estimation of neuronal activation by transcranial magnetic stimulation using convolutional neural networks

Brain Stimulation 2023年第1期16卷 217-217页

作者： Aberra, Aman Lopez, Adrian Grill, Warren Peterchev, Angel Department of Biomedical Engineering Duke University Durham NC USA Department of Mathematics Duke University Durham NC USA Department of Electrical and Computer Engineering Duke University USA Department of Neurobiology Duke University USA Department of Neurosurgery Duke University USA Department of Psychiatry and Behavioral Sciences Duke University Durham NC USA Department of Biomedical Engineering Duke University USA

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Demonstration of biophoton-driven DNA replication via gold nanoparticle-distance modulated yield oscillation

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Nano Research 2021年第1期14卷 40-45页

作者： Na Li Daoling Peng Xianjing Zhang Yousheng Shu Feng Zhang Lei Jiang Bo Song School of Optical-Electrical Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China State Key Laboratory of Respiratory Disease Key Laboratory of Oral MedicineGuangzhou Institute of Oral DiseaseStomatology HospitalDepartment of Biomedical EngineeringSchool of Basic Medical SciencesGuangzhou Medical UniversityGuangzhou 511436China School of Chemistry South China Normal UniversityGuangzhou 510006China State Key Laboratory of Medical Neurobiology Institute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceDepartment of NeurologyHuashan HospitalFudan UniversityShanghai 200032China Biomedical Nanocenter School of Life SciencesInner Mongolia Agricultural UniversityHohhot 010011China Key Laboratory of Bio-inspired Materials and Interfacial Science Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China School of Future Technology University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Bio-inspired Smart Interfacial Science and Technology of Ministry of Education School of ChemistryBeihang UniversityBeijing 100191China

Biologically,there exist two kinds of syntheses:photosynthesis and ATP-driven *** light harvesting of photosynthesis is known to achieve an efficiency of〜95%by the quantum energy transfer of ***,how the ATP-driven biosynthesis reaches its high efficiency still remains *** triphosphates(dNTPs)in polymerase chain reaction(PCR)adopt the identical way of ATP to release their energy,and thus can be employed to explore the ATP energy ***,using a gold nanoparticle(AuNP)enhanced PCR(AuNP-PCR),we demonstrate that the energy released by phosphoanhydride-bond(PB)hydrolysis of dNTPs is in form of photons(PB-photons)to drive DNA replication,by modulating their resonance with the average inter-AuNP distance(D).The experimental results show that both the efficiency and yield of PCR periodically oscillate with D increasing,indicating a quantized process,but not simply a thermal *** PB-photon wavelength is further determined to 8.4 *** these results support that the release,transfer and utilization of bioenergy are in the form of *** findings of ATP-energy quantum conversion will open a new avenue to the studies of high-efficiency bioenergy utilization,biochemistry,biological quantum physics,and even brain sciences.

关键词： intrinsic biophoton DNA replication polymerase chain reaction(PCR) gold nanoparticle high-efficiency energy utilization biological quantum physics

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Landau Polaritons in a Full-Dielectric Three-Dimensional Photonic-Crystal Cavity

Landau Polaritons in a Full-Dielectric Three-Dimensional Pho...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Fuyang Tay Ali Mojibpour Shuang Liang Andrey Baydin Arash Ahmadivand Nicolas Marquez Peraca Hongjing Xu Geoff C. Gardner Michael J. Manfra David Hagenmüller Junichiro Kono Department of Electrical and Computer Engineering Rice University Houston Texas USA Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston Texas USA Department of Physics and Astronomy Purdue University West Lafayette IN USA Birck Nanotechnology Center Purdue University West Lafayette IN USA Smalley-Curl Institute Rice University Houston Texas USA Department of Physics and Astronomy Rice University Houston Texas USA Microsoft Quantum Purdue Purdue University West Lafayette IN USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA School of Materials Engineering Purdue University West Lafayette IN USA ISIS (UMR 7006) Université de Strasbourg and CNRS Strasbourg France Department of Materials Science and Nano Engineering Rice University Houston Texas USA

We fabricated a full-dielectric three-dimensional photonic-crystal cavity containing an ultrahigh-mobility two-dimensional electron gas. By applying a strong perpendicular magnetic field, we created Landau polaritons ... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Couplings HEMTs Laser modes Polaritons Magnetic fields Gas lasers MODFETs

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Predicting blood pressure without a cuff using a unique multi-modal wearable device and machine learning algorithm

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computers in Biology and Medicine 2025年第Pt B期192卷 110357-110357页

作者： Hsiao, Chin-To Hong, Sungcheol Branan, Kimberly L. McMurray, Justin Coté, Gerard L. Department of Biomedical Engineering Texas A&M University College StationTX77843 United States Texas A&M Engineering Experiment Station Center for Remote Health Technologies and Systems College StationTX77843 United States Department of Electrical and Computer Engineering Texas A&M University College StationTX77843 United States Electrical and Electronic Convergence Department Hongik University Sejong Korea Republic of

Blood pressure is a critical risk factor for cardiovascular diseases (CVDs), yet most adults do not monitor it frequently enough to prevent serious complications. This is in part because the traditional cuff-based method is inconvenient, uncomfortable, and does not allow for continuous monitoring. To address these constraints, we developed a unique multi-modal wearable device and used a random forest regression (RFR) algorithm that resulted in a model capable of accurate cuffless blood pressure prediction. This multi-modal device features two photoplethysmography (PPG) sensors and two bioimpedance (BioZ) sensors to measure pulse wave propagation along the radial artery on the wrist. The redundancy in the design enhances prediction accuracy. To validate the device, a novel human subject study protocol was also developed that allows an individual's blood pressure to rise safely and repeatably by more than 40 mmHg (systolic pressure) from baseline measurements. In this study, using multiple pulsatile waveforms from the PPG and BioZ sensors as inputs into the machine learning prediction algorithm, showed that the model had higher accuracy than models using a single sensor. Specifically, the training, validation, and leaving one subject out of data sets all showed mean absolute errors of less than 3.3 mmHg for both systolic and diastolic blood pressures (BPs). While results from this test were promising, a subject-wise evaluation showed variability depending on how well an individual's BP distribution matched the training set. These findings demonstrate the potential for a universal model for cuffless BP estimation, with further validation needed in more diverse populations. Thus, the accompaniment of the RFR model with the multi-modal wearable device offers the potential for robust and continuous blood pressure monitoring, providing a unique and practical solution for long-term cardiovascular health management. © 2025

关键词： Random forests

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Beyond Bounds on Light Scattering with Complex Frequency Excitations

arXiv

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arXiv 2022年

作者： Kim, Seunghwi Lepeshov, Sergey Krasnok, Alex Alù, Andrea Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States DTU Electro Department of Electrical and Photonics Engineering Technical University of Denmark Ørsteds Plads 343 Kgs. LyngbyDK-2800 Denmark Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States

Light scattering is one of the most established wave phenomena in optics, lying at the heart of light-matter interactions and of crucial importance for nanophotonic applications. Passivity, causality and energy conservation imply strict bounds on the degree of control over scattering from small particles, with implications on the performance of many optical devices. Here, we demonstrate that these bounds can be surpassed by considering excitations at complex frequencies, yielding extreme scattering responses as tailored nanoparticles reach a quasi-steady-state regime. These mechanisms can be used to engineer light scattering of nanostructures beyond conventional limits for noninvasive sensing, imaging, and nanoscale light manipulation. Copyright © 2022, The Authors. All rights reserved.

关键词： Light scattering

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Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

Early detection and classification of bacterial colonies usi...

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Frontiers in Optics, FiO 2022

作者： Li, Yuzhu Liu, Tairan Koydemir, Hatice Ceylan Wang, Hongda O'Riordan, Keelan Bai, Bijie Haga, Yuta Kobashi, Junji Tanaka, Hitoshi Tamaru, Takaya Yamaguchi, Kazunori Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los Angeles90095 United States University of California Los AngelesCA90095 United States Department of Biomedical Engineering Texas A&M University College StationTX77843 United States Center for Remote Health Technologies and Systems Texas A&M University College StationTX77843 United States Department of Physics and Astronomy University of California Los AngelesCA90095 United States System Development Department Research & Development Division Japan Display Inc. Kanagawa243-0432 Japan Device Development Department Research & Development Division Japan Display Inc. Chiba297-8622 Japan R&D Planning Department Research & Development Division Japan Display Inc. Tokyo105-0003 Japan Department of Surgery University of California Los AngelesCA90095 United States

We report a rapid, automated, portable and high-throughput bacterial colony detection and classification system using a thin-film-transistor array and deep learning, achieving >12 hours of time savings compared to ...

ISBN: (纸本)9781557528209

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Frequency Response Analysis of Actively Cooled Nylon Twisted Coiled Actuators for Use in Wrist Rehabilitation Devices

Frequency Response Analysis of Actively Cooled Nylon Twisted...

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IEEE/RAS-EMBS International Conference on biomedical Robotics and Biomechatronics (BioRob)

作者： Brandon P.R. Edmonds Ana Luisa Trejos School of Biomedical Engineering Western University London Ontario Canada Department of Electrical and Computer Engineering at Western University London Ontario Canada

ISBN: (数字)9781728159072

ISBN: (纸本)9781728159089

Recovery from an upper limb musculoskeletal injury can take months or years, and often requires continuous visits to a therapist for specialized training and evaluation. Research has found that active assistance using mechatronic devices can significantly improve the quality and speed of recovery, especially when used for periods beyond a typical clinical appointment. However, current devices commonly use conventional actuation methods that are too heavy and rigid to be worn as a portable system outside of clinical settings. A recently discovered actuator made from twisting and coiling nylon thread (TCA) has the potential to improve wearable mechatronic designs due to its high power density, large strain, and inherent compliance. TCAs require heat to contract, which limits the actuation bandwidth due to the slow cooling rate, making it difficult to implement in wearable devices that must respond to voluntary motion. This study presents an active cooling method for TCAs to improve their frequency response and evaluates their feasibility in a wrist orthosis design based on real anatomical constraints. The frequency response was evaluated using a square wave input of varying frequency to provide actuation cycles of resistive heating and forced convective cooling, while measuring displacement at constant load. The results show that the TCA was able to respond to frequencies of up to 6.5 Hz, and also achieve full wrist range of motion at 0.55 Hz for loads equivalent to the weight of an average adult hand. This indicates that the proposed wrist orthosis could effectively assist the wrist throughout its entire range of motion and at the speeds required for voluntary motion using parallel TCAs.

关键词： Wrist Cooling Heating systems Force Bandwidth Strain Actuators

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Transfer learning for future wireless networks: A comprehensive survey

arXiv

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arXiv 2021年

作者： Nguyen, Cong T. Van Huynh, Nguyen Chu, Nam H. Saputra, Yuris Mulya Hoang, Dinh Thai Nguyen, Diep N. Pham, Quoc-Viet Niyato, Dusit Dutkiewicz, Eryk Hwang, Won-Joo School of Electrical and Data Engineering University of Technology Sydney SydneyNSW2007 Australia Research Institute of Computer Information and Communication Pusan National University Busan46241 Korea Republic of School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore Department of Biomedical Convergence Engineering Pusan National University Yangsan50612 Korea Republic of

With outstanding features, Machine Learning (ML) has become the backbone of numerous applications in wireless networks. However, the conventional ML approaches face many challenges in practical implementation, such as the lack of labeled data, the constantly changing wireless environments, the long training process, and the limited capacity of wireless devices. These challenges, if not addressed, can impede the effectiveness and applicability of ML in wireless networks. To address these problems, Transfer Learning (TL) has recently emerged to be a promising solution. The core idea of TL is to leverage and synthesize distilled knowledge from similar tasks as well as from valuable experiences accumulated from the past to facilitate the learning of new problems. Doing so, TL techniques can reduce the dependence on labeled data, improve the learning speed, and enhance the ML methods' robustness to different wireless environments. This article aims to provide a comprehensive survey on applications of TL in wireless networks. Particularly, we first provide an overview of TL including formal definitions, classification, and various types of TL techniques. We then discuss diverse TL approaches proposed to address emerging issues in wireless networks. The issues include spectrum management, localization, signal recognition, security, human activity recognition and caching, which are all important to next-generation networks such as 5G and beyond. Finally, we highlight important challenges, open issues, and future research directions of TL in future wireless networks. © 2021, CC BY-NC-SA.

关键词： Wireless networks

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arXiv

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arXiv 2023年

作者： Bilgic, Berkin Costagli, Mauro Chan, Kwok-Shing Duyn, Jeff Langkammer, Christian Lee, Jongho Li, Xu Liu, Chunlei Marques, José P. Milovic, Carlos Robinson, Simon Schweser, Ferdinand Shmueli, Karin Spincemaille, Pascal Straub, Sina van Zijl, Peter Wang, Yi Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School CharlestownMA United States University of Genoa Genoa Italy Laboratory of Medical Physics and Magnetic Resonance IRCCS Stella Maris Pisa Italy Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherlands Advanced MRI Section NINDS National Institutes of Health BethesdaMD United States Department of Neurology Medical University of Graz Graz Austria Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University School of Medicine BaltimoreMD United States F.M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Institute BaltimoreMD United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA United States Helen Wills Neuroscience Institute University of California BerkeleyCA United States Pontificia Universidad Catolica de Valparaiso Valparaiso Chile High Field MR Centre Department of Biomedical Imaging and Image-Guided Therapy Medical University of Vienna Austria Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences the University at Buffalo BuffaloNY United States Center for Biomedical Imaging Clinical and Translational Science Institute the University at Buffalo BuffaloNY United States Department of Medical Physics and Biomedical Engineering University College London London United Kingdom MRI Research Institute Department of Radiology Weill Cornell Medicine New YorkNY United States Department of Radiology Mayo Clinic JacksonvilleFL United States MRI Research Institute Departments of Radiology and Biomedical Engineering Cornell University New YorkNY United States

This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group. While QSM technical development continues to advance rapidly, the current QSM methods have been demonstrated to be repeatable and reproducible for generating quantitative tissue magnetic susceptibility maps in the brain. However, the many QSM approaches available give rise to the need in the neuroimaging community for guidelines on implementation. This article describes relevant considerations and provides specific implementation recommendations for all steps in QSM data acquisition, processing, analysis, and presentation in scientific publications. We recommend that data be acquired using a monopolar 3D multi-echo GRE sequence, that phase images be saved and exported in DICOM format and unwrapped using an exact unwrapping approach. Multi-echo images should be combined before background removal, and a brain mask created using a brain extraction tool with the incorporation of phase-quality-based masking. Background fields should be removed within the brain mask using a technique based on SHARP or PDF, and the optimization approach to dipole inversion should be employed with a sparsity-based regularization. Susceptibility values should be measured relative to a specified reference, including the common reference region of whole brain as a region of interest in the analysis, and QSM results should be reported with – as a minimum – the acquisition and processing specifications listed in the last section of the article. These recommendations should facilitate clinical QSM research and lead to increased harmonization in data acquisition, analysis, and reporting. © 2023, CC BY.

关键词： Magnetic resonance imaging

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PO63

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Brachytherapy 2023年第5期22卷 S99-S100页

作者： Aleef, Tajwar Abrar, BSc, MSc Spadinger, Ingrid T., BASc, PhD, FCCPM Mohammed, Shahed K., BSc, MSc, PhD Salcudean, Septimiu E., BEng, MEng, PhD Mahdavi, S. Sara, BSc, MSc, PhD Morris, William James, BSc, MSc, MD, FRCPC Peacock, Michael, BSc, MD, FRCPC School of Biomedical Engineering University of British Columbia Vancouver BC Canada BC Cancer - Vancouver Centre Vancouver BC Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

PurposeOptimizing Prostate Cancer Treatment in Men with Advanced Local disease (OPTiMAL) is a single-arm phase II study targeted towards unfavourable risk patients. As a successor to the largest randomized clinical trial (ASCENDE) comparing low-dose-rate prostate brachytherapy (LDR-PB) boost to external beam radiation therapy (EBRT) boost for prostate cancer (PCa) treatment, this study is designed to continue the use of the LDR-PB boost that resulted in high levels of biochemical progression-free survival (b-PFS) in ASCENDE while also aiming to reduce adverse side effects by lowering the overall dose and also limiting high dose regions to identified sites of disease. Materials and MethodsThe central treatment policy in OPTiMAL is to give 100% of the minimum prescribed brachytherapy dose (mpd) to the whole prostate gland while limiting regions with ≥150% of the mpd−as much as possible−to areas containing PCa as determined from transperineal template-guided mapping biopsy (TTMB). In addition, the mpd has been lowered to 100 Gy relative to the 115 Gy ASCENDE dose, and EBRT is delivered after the implant to enable the implanted seeds to be used for prostate localization on verification images. Treatment also includes androgen deprivation therapy (ADT) between TTMB and implant. An important additional aim of the OPTiMAL study is to use the TTMB results as a “ground truth” for investigating the potential of multi-modal advanced imaging of the prostate to better delineate tumours and target them appropriately during treatment. Imaging modalities included in the study are as follows: (1) multi-parametric magnetic resonance imaging (mpMRI) following a protocol compatible with PI-RADs V2, (2) magnetic resonance elastography (MRE) (in the same mpMRI session), (3) multi-parametric transrectal ultrasound (mpTRUS), including shear wave absolute vibro-elastography imaging (SWAVE), strain elastography, and time-series B-mode, all acquired immediately prior to and with the patient i

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