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arXiv 2018年

作者： Jia, Biao Pan, Zherong Hu, Zhe Pan, Jia Manocha, Dinesh Department of Computer Science University of Maryland College Park United States Department of Computer Science University of North Carolina Chapel Hill United States Department of Mechanical Biomedical Engineering City University of Hong Kong Department of Computer Science University of Hong Kong Departments of Computer Science and Electrical & Computer Engineering University of Maryland College Park United States

We present a novel approach for manipulating highDOF deformable objects such as cloth. Our approach uses a random-forest-based controller that maps the observed visual features of the cloth to an optimal control action of the manipulator. The topological structure of this random-forest is determined automatically based on the training data, which consists of visual features and control signals. The training data is constructed online using an imitation learning algorithm. We have evaluated our approach on different cloth manipulation benchmarks such as flattening, folding, and twisting. In all these tasks, we have observed convergent behavior for the random-forest. On convergence, the random-forest-based controller exhibits superior robustness to observation noise compared with other techniques such as convolutional neural networks and nearest neighbor searches. Copyright © 2018, The Authors. All rights reserved.

关键词： Controllers

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A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy

arXiv

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arXiv 2019年

作者： Tavakoli, Meysam Shahri, Reza Pourreza Pourreza, Hamidreza Mehdizadeh, Alireza Banaee, Touka Bahreini Toosi, Mohammad Hosein Electrical Engineering Department University of Texas Dallas United States Computer Engineering Department Ferdowsi University of Mashhad Mashhad Iran Medical Physics Center for research in Medical Physics and biomedical Engineering-Image processing lab Shiraz University of Medical Sciences Shiraz Iran Ophthalmic Research Center Khatam-Al-Anbia Hospital Mashhad University of Medical Sciences Eye Image Analysis Research Group MUMS Ferdowsi University of Mashhad Medical Physics Mashhad University of Medical Sciences Department of Medical Physics School of Medicine Dept. of Physics PS-145- Oklahoma State University Stillwater Oklahoma United States

Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness. This study presents a novel and different algorithm for automatic detection of MAs in fluorescein angiography (FA) fundus images, based on Radon transform (RT) and multi-overlapping windows. This project addresses a novel method, in detection of retinal land marks and lesions to diagnose the DR. At the first step, optic nerve head (ONH) was detected and masked. In preprocessing stage, top-hat transformation and averaging filter were applied to remove the background. In main processing section, firstly, we divided the whole preprocessed image into sub-images and then segmented and masked the vascular tree by applying RT in each sub-image. After detecting and masking retinal vessels and ONH, MAs were detected and numbered by using RT and appropriated thresholding. The results of the proposed method were evaluated reported on three different retinal images databases, the Mashhad Database with 120 FA fundus images, Second Local Database from Tehran with 50 FA retinal images and a part of Retinopathy Online Challenge (ROC) database with 22 images. Automated DR detection demonstrated a sensitivity and specificity of 94% and 75% for Mashhad database and 100% and 70% for the Second Local Database respectively. Copyright © 2019, The Authors. All rights reserved.

关键词： computer aided diagnosis

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Trends in Advanced Intelligent Control, Optimization and Automation: Proceedings of KKA 2017-The 19th Polish Control Conference, Kraków, Poland, June 18–21, 2017 19th

Trends in Advanced Intelligent Control, Optimization and Aut...

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19th Polish Control Conference, KKA 2017

作者： Mitkowski, Wojciech Kacprzyk, Janusz Oprzędkiewicz, Krzysztof Skruch, Pawel Department of Automatics and Biomedical Engineering Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Kraków Poland Systems Research Institute Polish Academy of Sciences Warszawa Poland

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Mobile Health–Supported Virtual Reality and Group Problem Management Plus: Protocol for a Cluster Randomized Trial Among Urban Refugee and Displaced Youth in Kampala, Uganda (Tushirikiane4MH, Supporting Each Other for Mental Health)

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JMIR Research Protocols 2022年第12期11卷 e42342页

作者： Logie, Carmen H. Okumu, Moses Kortenaar, Jean-Luc Gittings, Lesley Khan, Naimul Hakiza, Robert Musoke, Daniel Kibuuka Nakitende, Aidah Katisi, Brenda Kyambadde, Peter Khan, Torsum Lester, Richard Mbuagbaw, Lawrence Factor-Inwentash Faculty of Social Work University of Toronto Toronto ON Canada Women's College Research Institute Women's College Hospital Toronto ON Canada Institute for Water Environment & Health United Nations University Hamilton ON Canada Centre for Gender & Sexual Health Equity Vancouver BC Canada School of Social Work University of Illinois Urbana-Champaign IL United States School of Social Sciences Uganda Christian University Mukono Uganda Dalla Lana School of Public Health University of Toronto Toronto ON Canada School of Health Studies Faculty of Health Sciences Western University London ON Canada Centre for Social Science Research University of Cape Town Cape Town South Africa Electrical Computer and Biomedical Engineering Toronto Metropolitan University Toronto ON Canada Young African Refugees for Integral Development Kampala Uganda International Research Consortium Kampala Uganda National AIDS and STI Control Programme Ministry of Health Kampala Uganda Most At Risk Population Initiative Mulago Hospital Kampala Uganda Department of Medicine University of British Columbia Vancouver BC Canada Department of Health Research Methods Evidence and Impact McMaster University Hamilton ON Canada Department of Anesthesia McMaster University Hamilton ON Canada Department of Pediatrics McMaster University Hamilton ON Canada Biostatistics Unit Father Sean O'Sullivan Research Centre St Joseph's Healthcare Hamilton ON Canada Centre for Development of Best Practices in Health Yaoundé Central Hospital Yaoundé Cameroon Division of Epidemiology and Biostatistics Department of Global Health Stellenbosch University Cape Town South Africa

Background: Although mental health challenges disproportionately affect people in humanitarian contexts, most refugee youth do not receive the mental health support needed. Uganda is the largest refugee-hosting nation in Africa, hosting over 1.58 million refugees in 2022, with more than 111,000 living in the city of Kampala. There is limited information about effective and feasible interventions to improve mental health outcomes and mental health literacy, and to reduce mental health stigma among urban refugee adolescents and youth in low- and middle-income countries (LMICs). Virtual reality (VR) is a promising approach to reduce stigma and improve mental health and coping, yet such interventions have not yet been tested in LMICs where most forcibly displaced people reside. Group Problem Management Plus (GPM+) is a scalable brief psychological transdiagnostic intervention for people experiencing a range of adversities, but has not been tested with adolescents and youth to date. Further, mobile health (mHealth) strategies have demonstrated promise in promoting mental health literacy. Objective: The aim of this study is to evaluate the feasibility and effectiveness of two youth-tailored mental health interventions (VR alone and VR combined with GMP+) in comparison with the standard of care in improving mental health outcomes among refugee and displaced youth aged 16-24 years in Kampala, Uganda. Methods: A three-arm cluster randomized controlled trial will be implemented across five informal settlements grouped into three sites, based on proximity, and randomized in a 1:1:1 design. Approximately 330 adolescents (110 per cluster) are enrolled and will be followed for approximately 16 weeks. Data will be collected at three time points: baseline enrollment, 8 weeks following enrollment, and 16 weeks after enrollment. Primary (depression) and secondary outcomes (mental health literacy, attitudes toward mental help–seeking, adaptive coping, mental health stigma, mental well

关键词： adolescents and youth implementation research mental health mobile health refugee Uganda urban virtual reality

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Design and modeling of a quadcopter with double axis tilting rotors

Design and modeling of a quadcopter with double axis tilting...

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作者： De Martini, Daniele Gramazio, Giuseppe Valerio Bertini, Alessandro Rottenbacher, Carlo Facchinetti, Tullio Department of Electrical Computer and Biomedical Engineering Università degli Studi di Pavia via Ferrata 5 Pavia Italy

Multirotors are well suited for application tasks such as surveillance and exploration of otherwise inaccessible areas. Standard quadrotors have limitations in their possible configurations due to their underactuation. For this reason, some spatial configurations are not possible, such as hovering while maintaining a nonhorizontal orientation. This paper presents an overactuated quadrotor platform with double axes tilting propellers. The peculiarity of the proposed platform is that, beside the usual control on the four propellers, it allows to tilt each arm where motors are mounted along two independent axis. The resulting number of control inputs is 12, allowing a higher number of stable configurations with respect to traditional quadrotors. As a result, it can assume spatial orientations that are not possible for traditional quadcopters, enabling the possibility to deal with obstacles that would generally impede the motion of normal quadcopters. This feature allows to potentially explore a larger space. This paper presents the design and modeling of the quadrotor. Numerical simulations are carried out to show the effectiveness of the proposed solution. © 2017 World Scientific Publishing Company.

关键词： Unmanned aerial vehicles (UAV)

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Internet of thing based obesity and overweight monitoring arm belt for teenagers in Malaysia

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AIP Conference Proceedings 2021年第1期2355卷 030003页

作者： Toong Hai Sam Kian Sek Tee Chin Fhong Soon Safinaz Binti Mohd Khialdin Ayesha Binti Mohd Zain Jaysuman Bin Pusppanathan Whee Yen Wong Faculty of Business Communications and Law (FOBCAL) INTI International University Persiaran Perdana BBN Putra Nilai Nilai Negeri Sembilan 71800 MALAYSIA Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor 86400 MALAYSIA Biosensor and Bioengineering Laboratory MiNT-SRC Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat Johor 86400 MALAYSIA Department of Ophthalmology Pusat Kesihatan University Kebangsaan Malaysia Jalan Yaacob Latif Bandar Tun Razak Batu 9 Cheras Wilayah Persekutuan Kuala Lumpur 56000 MALAYSIA School of Biomedical Engineering & Health Science Universiti Teknologi Malaysia Skudai Johor MALAYSIA Department of Internet Engineering & Computer Science LKC Universiti Tunku Abdul Rahman Faculty of Engineering and Science Jalan Sungai Long Bandar Sungai Long 43000 Kajang Selangor MALAYSIA

It is reported that the prevalence of obesity and overweight among the teenagers is at alarming level. Obesity might develop into further health issues as they grow up into adults. Better lifestyle and modern technologies such as internet and smart phones have encouraged sedentary lifestyle. Lack of physical activities and uncontrolled food intake would be the main causes. The project aims at developing a portable internet-of-thing (IoT) instrument to monitor their physical activities. The instrument is designed to wrap around the arm and is a battery-powered microcontroller system, equipped with a global-positioning-system (GPS) sensor and a movement sensor (accelerometer). The system would synchronize to the internet via a smart phone. The location and body movements are recorded and could be monitored remotely by another user.

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Brain age acceleration as biomarker of Alzheimer’s disease progression: Functional network connectivity analysis

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Alzheimer's & Dementia 2021年第S1期17卷

作者： Mohammad S.E. Sendi David H Salat Vince D Calhoun School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology Atlanta GA USA Tri-Institutional Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science Atlanta GA USA Wallace H. Coulter Department of Biomedical Engineering at Emory University and Georgia Tech Atlanta GA USA Neuroimaging Research for Veterans Center VA Boston Healthcare System Boston MA USA Massachusetts General Hospital Charlestown MA USA Harvard Medical School Boston MA USA Georgia State University Atlanta GA USA

Background The brain age gap, the difference between an individual’s brain predicted age and chronological age, is used as a brain disease biomarker and aging. To date, although previous studies utilized mostly structural magnetic resonance imaging (MRI) data to predict brain age, less work has used functional network connectivity (FNC) from resting-state functional MRI (rs-fMRI) to indicate brain age and its link with Alzheimer’s disease (AD) progression. This study aims to estimate brain age from FNC and introduce it as a biomarker of AD progression. Method This study used 1091 rs-fMRI data and the chronological age at the time of scanning, ranging from 42-95, from the Open Access Series of Imaging Studies (OASIS)-3 cohort. This dataset includes 1021 healthy subjects (HC) and 70 AD patients. We used group independent component analysis to estimate 53 components for the whole-brain. Then, FNC feature, in total 1378, of each subject was calculated by applying the Pearson correlation. A support vector regression (SVR) was trained on 951 HC subjects in which FNC features and the chronological age was served as predictor and prediction output, respectively. We then tested the trained model on 70 HC (age mean± sd: 73.66± 7.47) and 70 AD (age mean± sd: 73.34± 7.51) subjects to predict their brain age. Result The correlation between predicted brain age and the chronological age of HC test data was R=0.73, (p=5.3e -13 , N=70), while the correlation between predicted brain age and AD patients' chronological age was R=0.33 (p=0.004, N=70). This result shows that the model based on HC could better predict the HC age than the AD patients. The brain age gap mean and standard deviation for the test HC and AD group was -2.2581± 5.0879 and 2.0814± 7.4520. This result shows that the brain age gap was increased in AD (Cohen’s d=0.68, p<0.001). Conclusion We proved that FNC, estimated from rs-fMRI, could predict the brain age in HC. Also, we found an acceleration in the brain predict

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In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

In Silico Populations Optimized on Optogenetic Recordings Pr...

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computers in Cardiology (CinC)

作者： Michelangelo Paci Elisa Passini Aleksandra Klimas Stefano Severi Jari Hyttinen Blanca Rodriguez Emilia Entcheva Tampere University of Technology BioMediTech Tampere Finland Department of Computer Science University of Oxford Oxford United Kingdom Department of Biomedical Engineering The George Washington University Washington DC United States of America Department of Electrical Electronic and Information Engineering University of Bologna Cesena Italy Faculty of Biomedical Sciences and Engineering Tampere University of Technology Tampere Finland

ISBN: (纸本)9781728109244

All-optical high-throughput systems allow simultaneous high resolution action potential (AP) and Ca 2+ transient (CaTr) measurements from cardiomyocytes within multicellular context, offering means to speed up in vitro drug tests. Here, we aim to develop experimentally-constrained in silico models of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and hiPSC-CM populations to predict drug effects in humans, by leveraging functional data obtained by all-optical means. Using multi-objective genetic algorithms (MoGAs), we constructed three control populations of in silico hiPSC-CMs, constrained with experimental data of APs and CaTrs recorded at room temperature and non-paced conditions from three different plates containing hiPSC-CM syncytia. We then simulated the effect of increasing doses of Diltiazem (130 models), Cisapride (200 models) and Astemizole (200 models) in the three populations, respectively. Comparing model predictions with the experimental drug administration (not used for the optimization/calibration of the populations) revealed good agreement with experiments: e.g. Diltiazem shortened APs while Astemizole and Cisapride prolonged APs.

关键词： Biomarkers Drugs Biological system modeling Sociology Statistics Computational modeling Adaptation models

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Inorganic semiconducting materials for flexible and stretchable electronics

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npj Flexible Electronics 2017年第1期1卷 16-29页

作者： Ki Jun Yu Zheng Yan Mengdi Han John A.Rogers School of Electrical and Electronic Engineering Yonsei UniversitySeoul 03722Republic of Korea Department of Chemical Engineering and Department of Mechanical&Aerospace Engineering University of MissouriColumbiaMissouri 65211USA Center for Bio-Integrated Electronics Northwestern UniversityEvanstonIllinois 60208USA Departments of Materials Science and Engineering Biomedical EngineeringChemistryMechanical EngineeringElectrical Engineering and Computer Scienceand Neurological Surgery Simpson Querrey Institute for Nano/biotechnologyMcCormick School of Engineering and Feinberg School of MedicineNorthwestern UniversityEvanstonIL 60208USA

Recent progress in the synthesis and deterministic assembly of advanced classes of single crystalline inorganic semiconductor nanomaterial establishes a foundation for high-performance electronics on bendable,and even elastomeric,*** results allow for classes of systems with capabilities that cannot be reproduced using conventional wafer-based ***,electronic devices that rely on the unusual shapes/forms/constructs of such semiconductors can offer mechanical properties,such as flexibility and stretchability,traditionally believed to be accessible only via comparatively low-performance organic materials,with superior operational features due to their excellent charge transport ***,these approaches allow integration of high-performance electronic functionality onto various curvilinear shapes,with linear elastic mechanical responses to large strain deformations,of particular relevance in bio-integrated devices and bio-inspired *** review summarizes some recent progress in flexible electronics based on inorganic semiconductor nanomaterials,the key associated design strategies and examples of device components and modules with utility in biomedicine.

关键词： inorganic electronic traditionally

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From FAIR to CURE: Guidelines for Computational Models of Biological Systems

arXiv

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arXiv 2025年

作者： Sauro, Herbert M. Agmon, Eran Blinov, Michael L. Gennari, John H. Hellerstein, Joe Heydarabadipour, Adel Hunter, Peter Jardine, Bartholomew E. May, Elebeoba Nickerson, David P. Smith, Lucian P. Bader, Gary D. Bergmann, Frank Boyle, Patrick M. Dräger, Andreas Faeder, James R. Feng, Song Freire, Juliana Fröhlich, Fabian Glazier, James A. Gorochowski, Thomas E. Helikar, Tomas Hoops, Stefan Imoukhuede, Princess Keating, Sarah M. Konig, Matthias Laubenbacher, Reinhard Loew, Leslie M. Lopez, Carlos F. Lytton, William W. McCulloch, Andrew Mendes, Pedro Myers, Chris J. Myers, Jerry G. Mulugeta, Lealem Niarakis, Anna van Niekerk, David D. Olivier, Brett G. Patrie, Alexander A. Quardokus, Ellen M. Radde, Nicole Rohwer, Johann M. Sahle, Sven Schaff, James C. Sego, T.J. Shin, Janis Snoep, Jacky L. Vadigepalli, Rajanikanth Wiley, H. Steve Waltemath, Dagmar Moraru, Ion Department of Bioengineering University of Washington SeattleWA98195-5061 United States Intelligent Systems Engineering and Biocomplexity Institute Indiana University Street BloomingtonIN47408 United States Center for Cardiovascular Biology University of Washington SeattleWA98195-5061 United States eScience Institute University of Washington SeattleWA98195-5061 United States Institute for Stem Cell and Regenerative Medicine University of Washington SeattleWA98195-5061 United States School of Biological Sciences University of Bristol 24 Tyndall Avenue BristolBS8 1TQ United Kingdom Departments of Physiology & Pharmacology Neurology Downstate Health Science University BrooklynNY11203 United States Department of Neurology Kings County Hospital BrooklynNY11203 United States NASA-John H. Glenn Research Center MS 110-3 21000 Brookpark Road ClevelandOH44135 United States Center for Cell Analysis and Modeling UConn Health 263 Farmington Avenue FarmingtonCT06030-6406 United States Amsterdam Institute for Life and Environment Vrije Universiteit Amsterdam De Boelelaan 1108 Amsterdam1081 HZ Netherlands Department of Pathology and Genomic Medicine Thomas Jefferson University 1020 Locust St PhiladelphiaPA19107 United States Biological Sciences Division Pacific Northwest National Laboratory 902 Battelle Blvd RichlandWA99354 United States Auckland Bioengineering Institute University of Auckland Auckland1010 New Zealand Center of Integrative Biology University of Toulouse III-Paul Sabatier 165 Rue Marianne Grunberg-Manago Toulouse31400 France Lifeware Group Inria Building Alan Turing 1 Rue Honoré d’Estienne d’Orves Palaiseau91120 France Multiscale Modeling Group Altos Labs Redwood CityCA94065 United States partner site Tübingen Tübingen Germany Ottfried-Müller-Str. 37 Tübingen72076 Germany 06120 Germany Department of Computer Science Center for Data Science New York University New YorkNY11201 United States Department of Bi

Guidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of "data", we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility;the clarity of model descriptions and annotations for understandability;adherence to standards and open science practices for reproducibility;and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible. © 2025, CC BY.

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