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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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Deep Learning Detection of Cardiac Akinesis in Echocardiograms 25th

Deep Learning Detection of Cardiac Akinesis in Echocardiogra...

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25th International Conference on Pattern Recognition Workshops, ICPR 2020

作者： Bitetto, Alessandro Bianchi, Elena Dondi, Piercarlo Bianchi, Luca Tolgyesi, Janos Ferri, Diego Lombardi, Luca Cerchiello, Paola Marceca, Azzurra Barosi, Alberto Department of Electrical Computer and Biomedical Engineering University of Pavia Via Ferrata 5 Pavia27100 Italy Neosperience SpA Via Gaspare Gozzi 1/A Milano20129 Italy Looptribe Srl Viale Italia 8 Brescia25126 Italy Department of Economics and Management University of Pavia Via San Felice 5 Pavia27100 Italy Department of Cardiology high specialties Luigi Sacco Hospital Via Giovanni Battista Grassi 74 Milano20157 Italy

ISBN: (纸本)9783030687625

Heart diseases are still among the main causes of death in the world population. The use of tools able to discriminate early this type of problem, even by non-specialized medical personnel on an outpatient basis, would put a decrease in health pressure on hospital centers and a better patient prognosis. This paper focuses on the problem of cardiac akinesis, a condition attributable to a very large number of pathologies, and a possible serious complication for SARS-Covid19 patients. In particular, we considered echocardiographic images of both akinetic and healthy patients. The dataset, containing echocardiograms of around 700 patients, has been supplied by Sacco hospital of Milan (Italy). We implemented a modified ResNet34 architecture and we tested the model under various combinations of parameters. The final best performing model was able to achieve a F1-score of 0.91 in the binary classification Akinetic vs. Normokinetic. © 2021, Springer Nature Switzerland AG.

关键词： Echocardiography

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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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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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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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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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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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Parameter-free differential evolution algorithm for the analytic continuation of imaginary time correlation functions

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Physical Review E 2022年第2期106卷 025312-025312页

作者： Nathan S. Nichols Paul Sokol Adrian Del Maestro Data Science and Learning Division Argonne National Laboratory Argonne Illinois 60439 USA Department of Physics University of Vermont Burlington Vermont 05405 USA Materials Science Program University of Vermont Burlington Vermont 05404 USA Department of Physics Indiana University Bloomington Indiana 47408 USA Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996 USA Min H. Kao Department of Electrical Engineering and Computer Science University of Tennessee Knoxville Tennessee 37996 USA

We report on differential evolution for analytic continuation: a parameter-free evolutionary algorithm to generate the dynamic structure factor from imaginary time correlation functions. Our approach to this long-standing problem in quantum many-body physics achieves enhanced spectral fidelity while using fewer compute (CPU) hours. The need for fine-tuning of algorithmic control parameters is eliminated by embedding them within the genome to be optimized for this evolutionary computation-based algorithm. Benchmarks are presented for models where the dynamic structure factor is known exactly and experimentally relevant results are included for quantum Monte Carlo simulations of bulk He4 below the superfluid transition temperature.

关键词： Nonequilibrium statistical mechanics Helium-4 superfluids Genetic algorithm Neutron scattering Numerical techniques Path-integral Monte Carlo Quantum Monte Carlo

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