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Food, Pharmaceutical and Bioengineering Division 2014 - Core programming Area at the 2014 AIChE Annual Meeting

作者： Larsen, Jessica Martin, Douglas Byrne, Mark Biomimetic and Biohybrid Materials Biomedical Devices and Drug Delivery Laboratories Department of Chemical Engineering United States Scott-Ritchey Research Center College of Veterinary Medicine United States US Department of Education GAANN Graduate Fellowship Program in Biological Pharmaceutical Engineering Auburn University AuburnAL United States

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Screening for pre-diabetes using support vector machine model 36

Screening for pre-diabetes using support vector machine mode...

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2014 36th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2014

作者： Chung, Jai Won Kim, Won Jae Beom Choi, Soo Park, Jee Soo Kim, Deok Won Graduate Program in Biomedical Engineering Yonsei University Seoul Korea Republic of Dept. of Medicine Yonsei University College of Medicine Seoul Korea Republic of Brain Korea 21 PLUS Project for Medical Science Yonsei University Seoul Korea Republic of Department of Medical Engineering Yonsei University College of Medicine Seoul Korea Republic of

ISBN: (纸本)9781424479290

The global prevalence of diabetes is rapidly increasing. Studies support screening and interventions for pre-diabetes, which results in serious complications and diabetes. This study aimed at developing an intelligence-based screening model for pre-diabetes that could assist with decreasing the prevalence of diabetes through early identification and subsequent interventions. Data from the Korean National Health and Nutrition Examination Survey (KNHANES) were used, excluding subjects with diabetes. The KNHANES 2010 data (n = 4,685) were used for training and internal validation, while data from KNHANES 2011 (n = 4,566) were used for external validation. We developed a model to screen for pre-diabetes using support vector machine (SVM), and performed a systematic evaluation of the SVM model using internal and external validation. We compared the performance of the SVM model with that of a screening score model based on logistic regression analysis for pre-diabetes that had been developed previously. Backward elimination logistic regression resulted in associations between pre-diabetes and age, sex, waist circumference, body mass index, alcohol intake, family history of diabetes, and hypertension. The areas under the curves (AUCs) for the SVM model in the internal and external datasets were 0.761 and 0.731, respectively, while the AUCs for the screening score model were 0.734 and 0.712, respectively. The SVM model developed in this study performed better than the screening score model that had been developed previously and may be more effective for pre-diabetes screening. © 2014 IEEE.

关键词： Asymptotic stability Delays Discrete-time systems Numerical stability Stability criteria Time-varying systems

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Multicategory classification of 11 neuromuscular diseases based on microarray data using support vector machine 36

Multicategory classification of 11 neuromuscular diseases ba...

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2014 36th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2014

作者： Beom Choi, Soo Park, Jee Soo Chung, Jai Won Yoo, Tae Keun Kim, Deok Won Brain Korea 21 PLUS Project for Medical Science Yonsei University Seoul Korea Republic of Dept. of Medicine Yonsei University College of Medicine Seoul Korea Republic of Graduate Program in Biomedical Engineering Yonsei University Seoul Korea Republic of Dept. of Medical Engineering Yonsei University College of Medicine Seoul Korea Republic of

ISBN: (纸本)9781424479290

We applied multicategory machine learning methods to classify 11 neuromuscular disease groups and one control group based on microarray data. To develop multicategory classification models with optimal parameters and features, we performed a systematic evaluation of three machine learning algorithms and four feature selection methods using three-fold cross validation and a grid search. This study included 114 subjects of 11 neuromuscular diseases and 31 subjects of a control group using microarray data with 22,283 probe sets from the National Center for Biotechnology Information (NCBI). We obtained an accuracy of 100%, relative classifier information (RCI) of 1.0, and a kappa index of 1.0 by applying the models of support vector machines one-versus-one (SVM-OVO), SVM one-versus-rest (OVR), and directed acyclic graph SVM (DAGSVM), using the ratio of genes between categories to within-category sums of squares (BW) feature selection method. Each of these three models selected only four features to categorize the 12 groups, resulting in a time-saving and cost-effective strategy for diagnosing neuromuscular diseases. In addition, a gene symbol, SPP1 was selected as the top-ranked gene by the BW method. We confirmed relationships between the gene (SPP1) and Duchenne muscular dystrophy (DMD) from a previous study. With our models as clinically helpful tools, neuromuscular diseases could be classified quickly using a computer, thereby giving a time-saving, cost-effective, and accurate diagnosis. © 2014 IEEE.

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Analysis of dependence of detector position on detected scatter distribution in dedicated breast SPECT

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12th International Workshop on Breast Imaging, IWDM 2014

作者： Mann, Steve D. Shah, Jainil P. Tornai, Martin P. Medical Physics Graduate Program Duke University Medical Center Durham NC 27705 United States Department of Biomedical Engineering Duke University Durham NC 27705 United States Multi Modality Imaging Lab. Duke University Medical Center Durham NC 27710 United States

ISBN: (纸本)9783319078861

In SPECT, scattered photons contribute to the detected signal, reducing contrast and quantification accuracy. Several methods exist to correct scatter, including the dual-energy window technique, but have not been fully evaluated on non-traditional SPECT trajectories. Using MCNP5, a Monte Carlo study was performed to analyze how incident scatter is affected by detector position for breast SPECT. An ideal detector was positioned at various azimuthal and polar angles relative to a pendant breast geometry. Detected scatter from the breast, heart, liver, torso, and lesion was linearly fit;the slope was used to characterize the distribution. Typical photopeak and scatter energy window ratios were calculated. Results indicate detected scatter depends upon detector position and its vantage of major uptake organs;however, the effect is minimal for non-direct views, with a ratio of 0.37. A single coefficient for dual-energy window scatter correction should suffice for breast imaging trajectories ignoring direct views of the heart/liver. © 2014 Springer International Publishing.

关键词： Monte Carlo methods

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Avidity-driven targeting of a novel biohybrid nanoscale carrier engineered for high therapeutic payload and extended release of anticancer drugs to treat small cell lung cancer

Avidity-driven targeting of a novel biohybrid nanoscale carr...

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Food, Pharmaceutical and Bioengineering Division 2014 - Core programming Area at the 2014 AIChE Annual Meeting

作者： Whitener, Ricky J. Wower, Jacek Byrne, Mark E. RNA Biochemistry Laboratories Department of Animal and Dairy Sciences United States Biomimetic and Biohybrid Materials Biomedical Devices and Drug Delivery Laboratories Department of Chemical Engineering United States US Department of Education GAANN Graduate Fellowship Program Biological and Pharmaceutical Engineering Auburn University AuburnAL United States Auburn University Research Initiative in Cancer United States

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Comparison of Steady-State Visual and Somatosensory Evoked Potentials for Brain-Computer Interface Control

Comparison of Steady-State Visual and Somatosensory Evoked P...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Dante J. Smith Lenny A. Varghese Cara E. Stepp Frank H. Guenther Graduate Program for Neuroscience Center for Computational Neuroscience and Neural Technology Boston University Departments of Speech Language and Hearing Sciences and Biomedical Engineering Boston University

ISBN: (纸本)9781424479276

Many proposed EEG-based brain-computer interfaces (BCIs) make use of visual stimuli to elicit steady-state visual evoked potentials (SSVEP), the frequency of which can be mapped to a computer input. However, such a control scheme can be ineffective if a user has no motor control over their eyes and cannot direct their gaze towards a flashing stimulus to generate such a signal. Tactile-based methods, such as somatosensory steady-state evoked potentials (SSSEP), are a potentially attractive alternative in these scenarios. Here, we compare the neural signals elicited by SSSEP to those elicited by SSVEP in naive BCI users towards evaluating the feasibility of SSSEP-based control of an EEG BCI.

关键词： Visualization Electroencephalography Frequency modulation Signal to noise ratio Steady-state Vibrations Electrodes

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ETAT 2013: Reflections on the First IEEE EMBS International Summer School on Telemedicine [Continuing Education]

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IEEE Pulse 2014年第2期5卷 70-72页

作者： Fedor Lehocki Cristian A. Linte National Centre of Telemedicine Services (NCTS) Slovak University of Technology 812 43 Slovakia Assistant Professor in the Biomedical Engineering Graduate Program Rochester Institute of Technology Rochester New York 14623 USA

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Abstracts from Hydrocephalus 2016 Abstracts

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FLUIDS AND BARRIERS OF THE CNS 2017年第SUPPL 1期14卷 1-21页

作者： [Anonymous] Johns Hopkins University Baltimore MD USA. Department of Neurosurgery Johns Hopkins University Baltimore MD USA. Johns Hopkins Biostatistics Center Johns Hopkins Bloomberg School of Public Health Baltimore MD USA. Johns Hopkins Bloomberg School of Public Health Baltimore MD USA. Department of Neurosurgery Johns Hopkins University School of Medicine Baltimore MD USA. Johns Hopkins Aramco Healthcare Dhahran Saudi Arabia. Johns Hopkins Hopkins Aramco Healthcare Dhahran Saudi Arabia. Johns Hopkins Aramco Healthcare Ras Tanura Saudi Arabia. Primary Care Johns Hopkins Aramco Healthcare Ras Tanura Saudi Arabia. Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA. Department of Neurosurgery Rhode Island Hospital Providence RI USA. Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA. The Interface Group Institute of PhysiologyUniversity of Zurich Zurich Switzerland. Institute of Physiology University of Zurich Zurich Switzerland. Neuroscience Center Zurich and the Zurich Center for Integrative Human Physiology University of Zurich Zurich Switzerland. BioFlowImage Laboratory University of Picardie Jules Verne Amiens France. Reims Mathematics Laboratory University of Reims Champagne-Ardenne Reims France. Image Processing Laboratory University Hospital of Amiens-Picardie Amiens France. BioFlowImage Laboratory Department of Medical Image Processing University Hospital of Picardie Jules Verne Amiens France. Department of Geriatric University Hospital of Toulouse Toulouse France. Departments of Geriatric University Hospital of Toulouse Toulouse France. Department of Geriatry University Hospital Toulouse Toulouse France. Neurosciences department University of Cambridge Cambridge UK. Brain Physics Lab Academic Neurosurgery University of Cambridge Cambridge UK. Department of Nuclear Medicine University Hospital of Toulouse Toulouse France. Department of Nuclear Medicine University Hospit

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Perceptions of technology and its use for therapeutic application for individuals with hemiparesis: Findings from adult and pediatric focus groups

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JMIR Rehabilitation and Assistive Technologies 2015年第1期2卷 e1页

作者： Lam, Melanie Y. Tatla, Sandy K. Lohse, Keith R. Shirzad, Navid Hoens, Alison M. Miller, Kimberly J. Holsti, Liisa Virji-Babul, Naznin Van der Loos, H.F. Machiel Department of Human Kinetics Saint Francis Xavier University Antigonish NS Canada Department of Occupational Science and Occupational Therapy University of British Columbia Vancouver BC Canada Sunny Hill Health Centre for Children Vancouver BC Canada School of Kinesiology University of British Columbia Vancouver BC Canada Biomedical Engineering Graduate Program University of British Columbia Vancouver BC Canada Department of Physical Therapy University of British Columbia Vancouver BC Canada Child and Family Research Institute Vancouver BC Canada Department of Mechanical Engineering University of British Columbia Vancouver BC Canada

Background: Digital technology is becoming an increasingly popular means of delivering meaningful therapy to individuals with neurological impairments. An understanding of clients' technology use and their perspectives on incorporating technology into rehabilitation can provide researchers and designers with valuable information to inform development of technologies and technology-based rehabilitation programs. Objective: This study was designed to establish the current use and perceptions of gaming, social media, and robotics technologies for rehabilitative purposes from the perspective of adults and children with upper limb impairments to identify barriers and enablers to their adoption and use. Methods: We conducted three focus groups consisting of pediatric (n=7, mean age 11.0 years) and adult (n=8, mean age 60.8 years) participants with hemiparesis affecting their upper limb. We applied thematic analysis methods to the resulting data. Results: We identified three key themes: (1) clients' use of technology in everyday life and rehabilitation, (2) barriers to use, and (3) enablers to therapy. Participants had limited exposure to technology for therapeutic purposes, but all acknowledged the potential benefits in providing motivation and interest for the performance of repetitive task practice. Adult participants requested efficacious, simple, and easy-to-use technology for rehabilitation with programs that could be individualized for them and expressed that they wanted these programs to provide a motivating means of repeated practice of therapeutic movements. In contrast, pediatric participants emphasized a desire for technology for rehabilitation that offered opportunities for social interaction and interactive games involving their whole body and not only their affected limb. Perceived safety and privacy were concerns for both groups. Conclusions: Our findings highlight that all participants were open to the integration of technology into rehabilitation. Adult p

关键词： Cerebral palsy Gaming Hemiplegia Qualitative research Rehabilitation Social media Stroke Technology adoption

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Intrinsic Dimensionality of Extracellular Action Potentials

Intrinsic Dimensionality of Extracellular Action Potentials

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Kathryn Scannell Agnieszka F. Szymanska Zoran Nenadic Graduate Program in Mathematical University of California Irvine (UCI) Irvine CA USA Department of Biomedical Engineering UCI Irvine CA USA Department of Electrical Engineering and Computer Science UCI Irvine CA USA

Linear approaches to low-dimensional feature extraction may not be appropriate when statistical data are generated by a nonlinear interaction of parameters. Equally inadequate are linear methods for determining the dimension of the feature space. This article estimates the intrinsic dimension of extracellular action potentials (EAPs), which can be viewed as the minimum number of nonlinearly interacting parameters sufficient to describe the data. When combined with nonlinear feature extraction methods, this information may lead to a more faithful, low-dimensional EAP representation. These points are demonstrated using EAPs recorded experimentally by a multi-sensor electrode.

关键词： Feature extraction Extracellular Principal component analysis Noise Electrodes Wavelet analysis Standards

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