Biomedical Engineering and Bioengineering Commons^™

Development Of Artificial Neural Network Models For Predicting Lipid Profile Using Smartmf Electrical Parameters, Ahmad Zulkhairi Zulkefl

Student Works (2020-2029)

This research project aims in the development of artificial neural network (ANN) to classify lipid profile parameters; total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) by utilizing a non-invasive bioelectrical impedance analysis (BIA) device (SmartMF). Data were obtained from volunteer patients requiring lipid profile testing at the primary care department of University Malaya Medical Centre (UMMC). The data were divided into two categories for each lipid profile parameters, normal and abnormal. Statistical analysis including T-Test and logistic regression analysis for the bioelectrical parameters were employed to understand the data and determine suitable predictors …

Special Issue On Professor John M. Tarbell’S Contribution To Cardiovascular Engineering, Hanjoong Jo, Keefe Manning, John M. Tarbell

Publications and Research

No abstract provided.

Electrical Double Layer In Nanopores For Detection And Identification Of Molecules And Submolecular Units, Guigen Zhang, Samuel Bearden

Biomedical Engineering Faculty Patents

Systems for detecting analytes in electrical double layer nanopore devices and methods of use are provided.

In Vivo Optical Metabolic Imaging Of Long-Chain Fatty Acid Uptake In Orthotopic Models Of Triple-Negative Breast Cancer, Megan C. Madonna, Joy E. Duer, Joyce V. Lee, Jeremy Williams, Baris Avsaroglu, Caigang Zhu, Riley Deutsch, Roujia Wang, Brian T. Crouch, Matthew D. Hirschey, Andrei Goga, Nirmala Ramanujam

Biomedical Engineering Faculty Publications

Targeting a tumor’s metabolic dependencies is a clinically actionable therapeutic approach; however, identifying subtypes of tumors likely to respond remains difficult. The use of lipids as a nutrient source is of particular importance, especially in breast cancer. Imaging techniques offer the opportunity to quantify nutrient use in preclinical tumor models to guide development of new drugs that restrict uptake or utilization of these nutrients. We describe a fast and dynamic approach to image fatty acid uptake in vivo and demonstrate its relevance to study both tumor metabolic reprogramming directly, as well as the effectiveness of drugs targeting lipid metabolism. Specifically, …

Quantitative Assessment Of Intra- And Inter-Modality Deformable Image Registration Of The Heart, Left Ventricle, And Thoracic Aorta On Longitudinal 4d-Ct And Mr Images, Alireza Omidi, Elisabeth Weiss, John S. Wilson, Mihaela Rosu-Bubulac

Biomedical Engineering Publications

Purpose

Magnetic resonance imaging (MRI)-based investigations into radiotherapy (RT)-induced cardiotoxicity require reliable registrations of magnetic resonance (MR) imaging to planning computed tomography (CT) for correlation to regional dose. In this study, the accuracy of intra- and inter-modality deformable image registration (DIR) of longitudinal four-dimensional CT (4D-CT) and MR images were evaluated for heart, left ventricle (LV), and thoracic aorta (TA).

Methods and materials

Non-cardiac-gated 4D-CT and T1 volumetric interpolated breath-hold examination (T1-VIBE) MRI datasets from five lung cancer patients were obtained at two breathing phases (inspiration/expiration) and two time points (before treatment and 5 weeks after initiating RT). Heart, LV, …

Nmr Metabolomics For Optimizing Cell-Free Protein Synthesis, Angela M. Campo

Browse all Theses and Dissertations

Cell-Free Protein Synthesis (CFPS) has been utilized by biochemists to produce a variety of chemicals and therapeutics. While CFPS has spawned research in the biochemistry and medical communities, there are still unknown issues with interlaboratory variability with the technique. This work explored the black box nature of CFPS reactions by analyzing the CFPS reactions in situ with Nuclear Magnetic Resonance (NMR) spectroscopy. Aim 1 developed the protocol for conducting NMR experiments on E. coli cell-free reactions as well as a data analysis pipeline. This was accomplished with 1H NMR, capturing metabolite changes over time. The 1D NOESY experiment proved to …

Multifactorial Media Analysis Via Design Of Experiment For Type Ii Collagen In Primary Rabbit Chondrocytes, Javier A. Velez Toro

Honors Undergraduate Theses

Osteoarthritis is a prevalent disease that affects the articular cartilage of the joints. Millions of people suffer worldwide and it is a major cause of disability in the United States. Current research for treatments of osteoarthritis are studying tissue-engineered cartilage in vitro generated by articular chondrocytes. A challenge faced in vitro for cartilage tissue engineering is the failure of chondrocytes to produce adequate expression of type II collagen. Surprisingly, the media commonly used in vitro lacks 14 vitamins and minerals present in the physiological environment of chondrocytes. Therefore, studying the interactions between micronutrients and chondrocytes may help in potentially increasing …

Correlating With Local Variation In Collagen Level And Mechanical Properties Of The Heart Tissues, Talayeh Tavangar

Electronic Theses and Dissertations

The determination of the myocardium's tissue properties is essential in constructing finite element (FE) models of the heart. To obtain accurate results, especially for functionally modeling the heart, we must determine the tissue properties in-vivo. The calculation of the heart tissue properties remains a challenging area as it is categorized as a heterogeneous, anisotropic, nonlinear soft tissue that undergoes large deformation. In this work, we tried to introduce and evaluated a finite element method to determine the mechanical properties of the cardiac tissue. The introduced method combined a finite element modeling with the experimentally obtained images from the left and …

The Use Of Tissue Engineering To Fabricate Perfusable 3d Brain Microvessels, Kalpani N Udeni Galpayage Dona, Jonathan Franklin Hale, Tobi Salako, Akanksha Anandanatarajan, Kiet A Tran, Brandon J Deore, Peter Galie, Servio Heybert Ramirez, Allison Michelle Andrews

Henry M. Rowan College of Engineering Departmental Research

Tissue engineering of the blood-brain barrier (BBB) in vitro has been rapidly expanding to address the challenges of mimicking the native structure and function of the BBB. Most of these models utilize 2D conventional microfluidic techniques. However, 3D microvascular models offer the potential to more closely recapitulate the cytoarchitecture and multicellular arrangement of in vivo microvasculature, and also can recreate branching and network topologies of the vascular bed. In this perspective, we discuss current 3D brain microvessel modeling techniques including templating, printing, and self-assembling capillary networks. Furthermore, we address the use of biological matrices and fluid dynamics. Finally, key challenges …

Data-Driven Design Of Energy-Shaping Controllers For Swing-Up Control Of Underactuated Robots, Wankun Sirichotiyakul, Aykut C. Satici

Mechanical and Biomedical Engineering Faculty Publications and Presentations

We propose a novel data-driven procedure to train a neural network for the swing-up control of underactuated robotic systems. Our approach is inspired by several recent developments ranging from nonlinear control theory to machine learning. We embed a neural network indirectly into the equations of motion of the robotic manipulator as its control input. Using familiar results from passivity-based and energy-shaping control literature, this control function is determined by the appropriate gradients of a neural network, acting as an energy-like (Lyapunov) function. We encode the task of swinging-up robotic systems through the use of transverse coordinates and goal sets; which …

Wearable Knee Assistive Devices For Kneeling Tasks In Construction, Siyu Chen, Duncan Stevenson, Shuangyue Yu, Monika Mioskowska, Jingang Yi, Hao Su, Mitja Trkov

Henry M. Rowan College of Engineering Departmental Research

Construction workers regularly perform tasks that require kneeling, crawling, and squatting. Working in awkward kneeling postures for prolonged time periods can lead to knee pain, injuries, and osteoarthritis. In this paper, we present lightweight, wearable sensing and knee assistive devices for construction workers during kneeling and squatting tasks. Analysis of kneeling on level and slopped surfaces (0, 10, 20 degs) is performed for single- and double-leg kneeling tasks. Measurements from the integrated inertial measurement units are used for real-time gait detection and lower-limb pose estimation. Detected gait events and pose estimation are used to control the assistive knee-joint torque provided …

Ionizable Lipid Nanoparticles For In Utero Mrna Delivery., Rachel S. Riley, Meghana V Kashyap, Margaret M Billingsley, Brandon White, Mohamad-Gabriel Alameh, Sourav K Bose, Philip W Zoltick, Hiaying Li, Rui Zhang, Andrew Y Cheng, Drew Weissman, William H Peranteau, Michael J Mitchell

Henry M. Rowan College of Engineering Departmental Research

Clinical advances enable the prenatal diagnosis of genetic diseases that are candidates for gene and enzyme therapies such as messenger RNA (mRNA)-mediated protein replacement. Prenatal mRNA therapies can treat disease before the onset of irreversible pathology with high therapeutic efficacy and safety due to the small fetal size, immature immune system, and abundance of progenitor cells. However, the development of nonviral platforms for prenatal delivery is nascent. We developed a library of ionizable lipid nanoparticles (LNPs) for in utero mRNA delivery to mouse fetuses. We screened LNPs for luciferase mRNA delivery and identified formulations that accumulate within fetal livers, lungs, …

Characterization & Calibration Of Foresight Ice, Hareem Nisar, Terry M Peters, Elvis C.S. Chen

Robarts Imaging Publications

No abstract provided.

Implementation Of Microfluidic Mixers For The Optimization Of Polymeric, Gold, And Perovskite Nanomaterials Synthesis, Alexa Roberts

ETD Archive

I would like to thank Dr. Chandra Kothapalli for the opportunity to participate in this research project and the continuous guidance he has given me in all aspects of the lab work. I would like to acknowledge the entire Chemical and Biomedical Engineering Department for their assistance throughout the program, for partially supporting my tuition and stipend through teaching assistantships, and the opportunities to present and discuss my research project with other interested students and faculty. I would like to acknowledge Dr. Petru Fodor and Dr. Geyou Ao for their support as members of my defense committee. Additionally, I would …

Calvin Engineering Lab Development, Christopher Hartemink

Summer Research

The project was selected was a robotic hand that has a variety of unique and interesting inputs. These demonstrations would follow and in class project of small groups designing a simple artificial hand from basic crafting materials such as cardboard, strings, straws, and glue. These interesting inputs included a mechanical measurement, muscle signals measurement, and neurological signal measurement. Effort was primarily focused on the neurological measurement in the form of electroencephalogram (EEG). The selected design was based on simple electrical components and an Arduino. This was done to show students the applications of components experienced throughout their classes at Calvin.

Co2 Biocapture By Scenedesmus Sp. Grown In Industrial Wastewater, Itzel Y. López-Pacheco, Eduardo Israel Castillo-Vacas, Lizbeth Castañeda-Hernández, Angie Gradiz-Menjivar, Laura Isabel Rodas-Zuluaga, Carlos Castillo-Zacarías, Juan Eduardo Sosa-Hernández, Damià Barceló, Hafiz M.N. Iqbal, Roberto Parra-Saldívar

Panhandle Research and Extension Center

Greenhouse gases (GHG) emissions are widely related to climate change, triggering several environmental problems of global concern and producing environmental, social, and economic negative impacts. Therefore, global research seeks to mitigate greenhouse gas emissions. On the other hand, the use of wastes under a circular economy scheme generates subproducts from the range of high to medium-value, representing away to help sustainable development. Therefore, the use of wastewater as a culture medium to grow microalgae strains that biocapture environmental CO₂, is a proposal with high potential to reduce the GHG presence in the environment. In this work, Scenedesmus sp. …

The Advanced Applications For Optical Coherence Tomography In Skin Imaging, Qiuyun Xu

Wayne State University Dissertations

Optical coherence tomography (OCT), based on the principle of interferometry, is a fast and non-invasive imaging modality, which has been approved by FDA for dermatologic applications. OCT has high spatial resolution up to micrometer scale compared to traditional ultrasound imaging. In addition, OCT can provide real-time cross-sectional images with 1 to 2 mm penetration depth, which makes it an ideal imaging technique to assess the skin micro-morphology and pathology without any tissue removal. Many studies have investigated the possibilities of using OCT to evaluate dermatologic conditions, such as skin cancer, dermatitis, psoriasis, and skin damages. Hence, OCT has tremendous potential …

Multiparametric Quantitative Acoustic Imaging Of Cervical Remodeling During Pregnancy, Yan Yan

Wayne State University Dissertations

The uterine cervix plays a central role in the maintenance of pregnancy and the process of parturition. Untimely cervical ripening in early gestation predisposes to preterm labor and delivery, the leading cause of infant mortality worldwide. The current approach to evaluate the status of the cervix relies on digital and sonographic examination, which indicates the morphological changes of the cervix (cervical length). Therefore, assessing cervix tissue composition changes may provide more sensitive evaluations about cervix status beyond cervical length. Photoacoustic (PA) imaging is a relatively new, non-invasive ultrasound (US) based technology that captures acoustic signals emitted by tissue components in …

Targeting T Cell Glycolysis To Mitigate Graft-Versus-Host Disease, Kevin Ezhakunnel

Honors Undergraduate Theses

Hematological cancers account for nearly ten percent of cancer cases diagnosed annually in the United States. Patients who fail to respond to chemotherapy or radiotherapy must often undergo a bone marrow transplant to treat their malignancy. A significant complication following this procedure is Graft versus Host Disease (GvHD), which occurs when donor T cells mount an immune response against recipient tissues. Immunological research has highlighted the role of aberrant T cell metabolism, specifically a shift toward aerobic glycolysis, as a key driver behind the occurrence of this condition. The transcription factor FoxK1 has been revealed to be a key regulator …

Spectroscopic Investigation Of Radiation-Induced Reoxygenation In Radiation-Resistant Tumors, Sina Dadgar, Joel Rodriguez Troncoso, Eric R. Siegel, Natalie Curry, Robert J. Griffin, Ruud P.M. Dings, Narasimhan Rajaram

Biomedical Engineering Faculty Publications and Presentations

Fractionated radiation therapy is believed to reoxygenate and subsequently radiosensitize surviving hypoxic cancer cells. Measuring tumor reoxygenation between radiation fractions could conceivably provide an early biomarker of treatment response. However, the relationship between tumor reoxygenation and local control is not well understood. We used noninvasive optical fiber-based diffuse reflectance spectroscopy to monitor radiation-induced changes in hemoglobin oxygen saturation (sO₂) in tumor xenografts grown from two head and neck squamous cell carcinoma cell lines - UM-SCC-22B and UM-SCC-47. Tumors were treated with 4 doses of 2 Gy over 2 consecutive weeks and diffuse reflectance spectra were acquired every day …

A Hybrid Gene Selection Strategy Based On Fisher And Ant Colony Optimization Algorithm For Breast Cancer Classification, Mohammed Hamim, Ismail El Moudden, Mohan D. Pant, Hicham Moutachaouik, Mustapha Hain

EVMS School of Health Professions Faculty Publications

Breast cancer poses the greatest threat to human life and especially to women's life. Despite the progress made in data mining technology in recent years, the ability to predict and diagnose such fatal diseases based on gene expression data still reveals a limited prediction performance, which may not be surprising since most of the genes in expression data are believed to be irrelevant or redundant. The dimensionality reduction process may be considered as a crucial step to analyze gene expression data, as it can reduce the high dimensionality of the breast cancer datasets, which may result into a better prediction …

Biom 1720: Introduction To Biomedical Engineering Tools (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Use of computer tools for data analysis, presentation, documentation; introduction to programming; individual and group design projects.

Analysis Of Graded Sensorimotor Rhythms For Brain-Computer Interface Applications, Chase Allen Haddix

Theses and Dissertations--Biomedical Engineering

The emerging field of neural engineering is tasked with applying engineering principles towards understanding neuroscience. A by-product of such a venture has been the development of a class of assistive devices known as brain-computer interfaces (BCIs) which link brain activity to actions performed by external devices. One application of this technology is in the rehabilitative sector for individuals with neuromuscular diseases and disorders. Despite tremendous efforts in the last few decades, a reliable signal that reflects fine motor control has yet to be adequately investigated. This gap in knowledge has limited the potential of BCIs to restore movement and communication. …

Lipid Droplet Membrane Proteome Remodeling Parallels Ethanol-Induced Hepatic Steatosis And Its Resolution, Carol A. Casey, Terrence M. Donohue Jr., Jacy L. Kubik, Vikas Kumar, Michael J. Naldrett, Nicholas T. Woods, Cole P. Frisbie, Mark A. Mcniven, Paul G. Thomes

Nebraska Center for Biotechnology: Faculty and Staff Publications

Abstract Lipid droplets (LDs) are composed of neutral lipids enclosed in a phospholipid monolayer, which harbors membrane-associated proteins that regulate LD functions. Despite the crucial role of LDs in lipid metabolism, remodeling of LD protein composition in disease contexts, such as steatosis, remains poorly understood. We hypothesized that chronic ethanol consumption, subsequent abstinence from ethanol, or fasting differentially affects the LD membrane proteome content and that these changes influence how LDs interact with other intracellular organelles. Here, male Wistar rats were pair-fed liquid control or ethanol diets for 6 weeks, and then, randomly chosen animals from both groups were either …

Understanding Forearm Muscle Coordination In Children, Miguel Gonzalez

Electronic Theses and Dissertations, 2020-2023

A combination of surface electromyography (EMG) and pattern recognition algorithms have led to improvements in the functionality of upper limb prosthetics. This method of control relies on user's ability to repeatedly generate consistent muscle contractions. Research in EMG based control of prosthesis has mainly utilized adult subjects who have fully developed neuromuscular control. Little is known about children's ability to generate consistent EMG signals necessary to control artificial limbs with multiple degrees of freedom. To address this gap, two experiments were designed to validate and benchmark an experimental protocol that quantifies the ability to coordinate forearm muscle contractions in able-bodied …

Biom 2720: Experimental Design And Analysis For Biomedical Engineering (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Application of probability, statistics, error analysis, uncertainty in design and performance of biomedical engineering experimentation; discussion and evaluation of common experimental designs for medical device development.

Engr 1009: Preparation For Engineering Problem Solving (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Applications of algebra and trigonometry to engineering problems. Accelerated preparation for an engineering or technology major.

Scalable Approaches For Auditing The Completeness Of Biomedical Ontologies, Fengbo Zheng

Theses and Dissertations--Computer Science

An ontology provides a formalized representation of knowledge within a domain. In biomedicine, ontologies have been widely used in modern biomedical applications to enable semantic interoperability and facilitate data exchange. Given the important roles that biomedical ontologies play, quality issues such as incompleteness, if not addressed, can affect the quality of downstream ontology-driven applications. However, biomedical ontologies often have large sizes and complex structures. Thus, it is infeasible to uncover potential quality issues through manual effort. In this dissertation, we introduce automated and scalable approaches for auditing the completeness of biomedical ontologies. We mainly focus on two incompleteness issues -- …

Characterization Of Modulation And Coherence In Sensorimotor Rhythms Using Different Electroencephalographic Signal Derivations, Stephen Dundon

Theses and Dissertations--Biomedical Engineering

Electroencephalography (EEG) is a widely used technique for monitoring and analyzing brain activity in experimental, diagnostic, and therapeutic applications. Since EEG is sensitive to noise and artefact sources, referential signals at different locations can be combined in different ways to improve signal quality and better localize cortical activity. Four signal derivations were compared against referential EEG in terms of their ability to measure the alpha rhythm modulation (or reactivity) and spatial coherence associated with an eye closure task: a common average reference (CAR), a local average reference (LAR), a large Laplacian (LL), and a focal Laplacian (FL) estimated using a …

Work-Related Changes In The Trunk Stiffness Of Nursing Personnel, Clare Tyler

Theses and Dissertations--Biomedical Engineering

Low back pain (LBP) is a significant issue related to spinal stability and, therefore, to trunk stiffness. Due to the nature of their work, nursing personnel are exposed to potential risk factors for LBP, such as lifting and trunk flexion, which have been reported in the literature to lead to decreases in trunk stiffness. Consequently, the purpose of this study was to investigate potential occupational effects on the trunk stiffness in nursing personnel. Twenty-four nursing personnel participated in this study and completed two sessions (pre-shift and post-shift) during which two passive flexion tests (with and without an ~7.5-lb load) were …