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Biomedical Engineering and Bioengineering Commons

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Energy Expenditure And Stability During Self-Paced Walking On Different Slopes, Alanna Raffaelli 2019 University of Central Florida

Energy Expenditure And Stability During Self-Paced Walking On Different Slopes, Alanna Raffaelli

Electronic Theses and Dissertations

Metabolic power and cost of transport (COT) are common quantifiers for effort when performing tasks including walking and running. Most studies focus on using a range of normal walking speeds over level ground or varied slopes. However, these studies use fixed-speed conditions. Fatigue, stability, metabolic expenditure, heart rate, and many other factors contribute to normal walking speed varying over time. This study aimed to show that allowing a subject to walk with a self-paced speed should correlate to a minimum COT at a given slope. This study also aimed to determine if a preferred slope exists based on minimizing metabolic ...


Classifying And Predicting Walking Speed From Electroencephalography Data, Allen Rahrooh 2019 University of Central Florida

Classifying And Predicting Walking Speed From Electroencephalography Data, Allen Rahrooh

Electronic Theses and Dissertations

Electroencephalography (EEG) non-invasively records electrocortical activity and can be used to understand how the brain functions to control movements and walking. Studies have shown that electrocortical dynamics are coupled with the gait cycle and change when walking at different speeds. Thus, EEG signals likely contain information regarding walking speed that could potentially be used to predict walking speed using just EEG signals recorded during walking. The purpose of this study was to determine whether walking speed could be predicted from EEG recorded as subjects walked on a treadmill with a range of speeds (0.5 m/s, 0.75 m ...


Conceptualization And Fabrication Of A Bioinspired Mobile Robot Actuated By Shape Memory Alloy Springs, Lietsel Richardson 2019 University of Central Florida

Conceptualization And Fabrication Of A Bioinspired Mobile Robot Actuated By Shape Memory Alloy Springs, Lietsel Richardson

Electronic Theses and Dissertations

This work is an experimental study and fabrication of design concepts to validate the feasibility of smart materials and their applications in bio-inspired robotics. Shape-Memory Alloy (SMA) springs are selected as the smart material actuators of interest to achieve locomotion in the proposed mobile robot. Based on a previous design of the robot, this work focuses on both implementing a new locomotion concept and reducing size and weight of the previous design, both using SMA based actuators. Objectives are met in consideration of the conceptual mechanics of circular robot locomotion. The first prototype is a variation of the original design ...


Hydrodeoxygenation Of Pinyon-Juniper Catalytic Pyrolysis Oil, Hossein Jahromi 2019 Utah State University

Hydrodeoxygenation Of Pinyon-Juniper Catalytic Pyrolysis Oil, Hossein Jahromi

All Graduate Theses and Dissertations

Catalytic hydrodeoxygenation (HDO), is an effective process to convert oxygenated compounds to hydrocarbons. This process is widely used for improving the negative properties of biomass-derived pyrolysis oils (bio-oils) such as high acidity, poor stability, and low heating value. During this process oxygen is removed from the bio-oil in the form of water, thus the liquid product of HDO process consists of aqueous phase and hydrocarbon phase that can be easily separated. Synthesis of efficient HDO catalyst has been a major challenge in the field of bio-oil upgrading. Red mud, which is an alkaline waste from alumina industry was used to ...


Biomedical Engineering Or Biomedical Optics: Will The Real Discipline Please Stand Up?, Brian W. Pogue 2019 Dartmouth College

Biomedical Engineering Or Biomedical Optics: Will The Real Discipline Please Stand Up?, Brian W. Pogue

Open Dartmouth: Faculty Open Access Scholarship

This editorial reflects on the shape of biomedical engineering as a discipline, and its relation to biomedical optics.


Brain Image Clustering By Wavelet Energy And Cbsso Optimization Algorithm, Hasan Hosseinzadeh, Mohammad Sedaghat 2019 Department of Mathematics, Ardebil Branch, Islamic Azad University, Ardebil, Iran

Brain Image Clustering By Wavelet Energy And Cbsso Optimization Algorithm, Hasan Hosseinzadeh, Mohammad Sedaghat

Journal of Mind and Medical Sciences

Previously, the diagnosis of brain abnormality was significantly important in the saving of social and hospital resources. Wavelet energy is known as an effective feature detection which has great efficiency in different utilities. This paper suggests a new method based on wavelet energy to automatically classify magnetic resonance imaging (MRI) brain images into two groups (normal and abnormal), utilizing support vector machine (SVM) classification based on chaotic binary shark smell optimization (CBSSO) to optimize the SVM weights.

The results of the suggested CBSSO-based KSVM are compared favorably to several other methods in terms of better sensitivity and authenticity. The proposed ...


Biomedical Engineering - An Art Or A Science?, Sowmya Anjur 2019 Illinois Mathematics and Science Academy

Biomedical Engineering - An Art Or A Science?, Sowmya Anjur

Sowmya Anjur

Students discussed recent advances in technology and classified them as belonging to science or engineering. Students were introduced to the human heart and its mechanics, after which they brainstormed in groups to build their own life-sized heart models, choosing from the materials provided and demonstrated their working models to each other. Students were encouraged to create "diseases" in their heart models and explain how they would correlate this to "real'life" experiences. Students were also introduced to my newest project, arduino heart rate monitors and asked to suggest creative projects that they could work on in the near future.


Defining Cell Cluster Size By Dielectrophoretic Capture At An Array Of Wireless Electrodes Of Several Distinct Lengths, Joseph T. Banovetz, Min Li, Darshna Pagariya, Sungu Kim, Baskar Ganapathysubramanian, Robbyn Anand 2019 Iowa State University

Defining Cell Cluster Size By Dielectrophoretic Capture At An Array Of Wireless Electrodes Of Several Distinct Lengths, Joseph T. Banovetz, Min Li, Darshna Pagariya, Sungu Kim, Baskar Ganapathysubramanian, Robbyn Anand

Chemistry Publications

Clusters of biological cells play an important role in normal and disease states, such as in the release of insulin from pancreatic islets and in the enhanced spread of cancer by clusters of circulating tumor cells. We report a method to pattern cells into clusters having sizes correlated to the dimensions of each electrode in an array of wireless bipolar electrodes (BPEs). The cells are captured by dielectrophoresis (DEP), which confers selectivity, and patterns cells without the need for physical barriers or adhesive interactions that can alter cell function. Our findings demonstrate that this approach readily achieves fine control of ...


Development Of A Force-Based Ream Vector Measurement System For Glenoid Reaming Simulation, David Axford 2019 The University of Western Ontario

Development Of A Force-Based Ream Vector Measurement System For Glenoid Reaming Simulation, David Axford

Electronic Thesis and Dissertation Repository

Glenoid reaming is a technically challenging step during total shoulder arthroplasty surgery that may be improved through frequent practice and exposure to simulation training. At our institution, a vibration haptic glenoid reaming simulator is being developed that simulates the vibrations felt during glenoid reaming. This thesis presents the development of a force-based reamer vector measurement system that allows the simulator to measure the user’s net applied force and reamer angle of approach. This capability allows for the simulation of eccentric reaming maneuvers commonly used to adjust the glenoid orientation. The system error was characterized and evaluated using a robot ...


The Modeling, Design, Fabrication, And Application Of Biosensor Based On Electric Cell-Substrate Impedance Sensing (Ecis) Technique In Environmental Monitoring, Xudong Zhang, William Wang, Sunghoon Jang 2019 CUNY Graduate Center

The Modeling, Design, Fabrication, And Application Of Biosensor Based On Electric Cell-Substrate Impedance Sensing (Ecis) Technique In Environmental Monitoring, Xudong Zhang, William Wang, Sunghoon Jang

Publications and Research

In this research, the modeling, design, fabrication, and application of ECIS sensors in environmental monitoringare studied. The ECIS sensors are able to qualify the water toxicity through measuring the cell impedance. A novel mathematical model is proposed to analyze the distribution of electric potential and current of ECIS. This mathematical model is validated by experimental data and can be used to optimize the dimension of ECIS electrodes in order to satisfy environmental monitors. The detection sensitivity of ECIS sensors is analyzed by the mathematical model and experimental data. The simulated and experimental results show that ECIS sensors with smaller radius ...


System Fault Tolerancing And Self-Reported Usability Of A Closed-Loop Robotic System For Reading Comprehension Skill Development In Children Who Are Deaf Or Hard Of Hearing, Miroslava I. Migovich 2019 University of Tennessee

System Fault Tolerancing And Self-Reported Usability Of A Closed-Loop Robotic System For Reading Comprehension Skill Development In Children Who Are Deaf Or Hard Of Hearing, Miroslava I. Migovich

EURēCA: Exhibition of Undergraduate Research and Creative Achievement

Children who are deaf or hard of hearing often suffer from low literacy and reading comprehension rates [1]. Over the past 50 years, research had concluded that literacy rates for these children rarely pass a fourth-grade level [2]. However, little research has been done regarding interventions for reading comprehension skill development [3]. Our long-term study seeks to incorporate social robotics and reading comprehension development to provide an option for in-home and in-school reading focused interventions. In the current study, we present an initial validation of a closed-loop social robotic system for reading comprehension testing. Results suggest our robot-based system is ...


An Arm And A Leg: Medtech Perspectives On Human-Centered Design, Evan D. Poff 2019 Brigham Young University

An Arm And A Leg: Medtech Perspectives On Human-Centered Design, Evan D. Poff

Marriott Student Review

The art of human-centered design accounts for both technological and emotional specifications in order to deliver meaningful products that meet the specific needs of the individual customer. Every business professional can deepen his or her understanding of human-centered design – regardless of our industry of choice – by looking to perspectives that the business of medical technology offers. To that end, this article draws upon interviews with three figures in this remarkable field, distilling their insights on how to cultivate businesses that produce human-centered solutions.


Developing A Synthetic Model Of The Candida Albicans Cell Wall Using Self-Assembled Monolayers To Host Beta-Glucan As Ligands, Ushnik Ghosh 2019 University of New Mexico

Developing A Synthetic Model Of The Candida Albicans Cell Wall Using Self-Assembled Monolayers To Host Beta-Glucan As Ligands, Ushnik Ghosh

Biomedical Engineering ETDs

The goal of this investigation is to study mechanisms the immune cell receptor, Dectin-1, uses to identify the fungal cell species, Candida albicans. Dectin-1 identifies extracellular matrix polysaccharides that Candida albicans express known as β-glucan. To study the interaction of β-glucan – Dectin-1 at the nanoscopic scale, the investigators of this project have endeavored to model the Candida albicans cell wall with engineered Self-Assembled Monolayers presenting β-glucan as a ligand for immobilized Dectin-1 receptors. By engineering a simplified ex-vivo model of the Candida albicans cell wall, the investigators of this study aim to gain precise control of the composition and structure ...


Incorporation Of Egfr And Ron Receptors Into Nanodiscs, Cristina Flores-Cadengo 2019 University of New Mexico

Incorporation Of Egfr And Ron Receptors Into Nanodiscs, Cristina Flores-Cadengo

Biomedical Engineering ETDs

Understanding the structure-function relationship of membrane receptors is essential to comprehend the crosstalk between key signaling pathways. Aberrant trans-activation between receptors can lead to tumorigenesis. Two of these receptors known to be involved in cancer development are receptor tyrosine kinases (RTKs), RON (Recepteur d'Origine Nantais) and EGFR (Epidermal Growth Factor Receptor). There has been evidence of heterodimerization and crosstalk between these two receptors based on co-immunoprecipitation, however the structural requirements behind these interactions remain unknown. Structural studies could provide insights into these RTKs’ modes of dimerization and structure-function relationship. However, structural studies of full-length membrane proteins are often difficult ...


Tissue Equivalent Gellan Gum Gel Materials For Clinical Mri And Radiation Dosimetry, Pawel Brzozowski 2019 The University of Western Ontario

Tissue Equivalent Gellan Gum Gel Materials For Clinical Mri And Radiation Dosimetry, Pawel Brzozowski

Electronic Thesis and Dissertation Repository

Hydrogels contain high amount of water allowing their use as surrogates to human tissues with specific properties that can be tuned by additives. Gellan gum is a gel-forming material of interest and is a replacement for other common gelling agent with limited use as a tissue phantom. Therefore, this thesis examines the application of gellan gum gels as a novel magnetic resonance imaging (MRI) phantom with a design of experiments model to obtain tunable properties. The analysis was extended to include mechanical and electrical properties with a separate design of experiment. Gels doped with synthesized superparamagnetic iron oxide nanoparticles (SPIONs ...


Design Of Tissue-Specific Cellular Microenvironments For Adipose-Derived Stromal Cell Culture And Delivery, Arthi Shridhar 2019 The University of Western Ontario

Design Of Tissue-Specific Cellular Microenvironments For Adipose-Derived Stromal Cell Culture And Delivery, Arthi Shridhar

Electronic Thesis and Dissertation Repository

The development of in vitro cell culture models that investigate tissue-specific effects of the extracellular matrix (ECM) on stem/progenitor cell lineage-commitment can contribute towards the design of improved cell delivery strategies. This thesis developed processing methods that conserved ECM bioactivity to generate well-characterized 2- and 3-D culture platforms that facilitated the evaluation of ECM composition on the adipogenic and osteogenic differentiation of human adipose-derived stromal cells (ASCs). Initial work compared α-amylase and pepsin digestion as methods to fabricate ECM coatings. The effects of enzyme processing and ECM composition were explored using human decellularized adipose tissue (DAT) and bovine tendon ...


Advantages Of Air Cooling In Thermal Ablation, Alexander Sheikh 2019 Kansas State University Libraries

Advantages Of Air Cooling In Thermal Ablation, Alexander Sheikh

Kansas State University Undergraduate Research Conference

Advantages of Air Cooling in Thermal Ablation

Alex Sheikh, Dr. Punit Prakash, Hojjat Fallahi

Department of Electrical and computer Engineering

Thermal ablation is the method of destroying tumors through the application of extreme temperatures. For this experiment, heat is used and supplied by an amplifier/power generator. The heat is transported out through a catheter device and into the designated area of the tumor. Cooling the tip of the device can be used to control this heat in effort to expand the ablation size and cut down on the destruction of unwanted tissue. Thus far, water has been the primary ...


Establishment Of 3-D Human Colorectal Cancer Spheroids, India Barnett 2019 Kansas State University Libraries

Establishment Of 3-D Human Colorectal Cancer Spheroids, India Barnett

Kansas State University Undergraduate Research Conference

Three-Dimensional (3D) cell culture plays an important role in cancer biology by providing a life-like microenvironment as a model for drug discovery and treatment. Hydrogels, like many other 3D scaffolds, demonstrate a unique property as matrices for 3D cell culture. The goal of this project is to establish a 3D cell culture for colorectal cancer and apply this 3D model to drug testing. Colorectal cancer is one of the most common cancers in the United States with an early detection rate of 39%. Previously, 2D cell culture of human colorectal cancer cells, SW480, was used to determine the efficacy of ...


Use Of Surface-Enhanced Raman Scattering (Sers) Probes To Detect Fatty Acid Receptor Activity In A Microfluidic Device, Han Zhang, Wei Zhang, Lifu Xiao, Yan Liu, Timothy A. Gilbertson, Anhong Zhou 2019 Utah State University

Use Of Surface-Enhanced Raman Scattering (Sers) Probes To Detect Fatty Acid Receptor Activity In A Microfluidic Device, Han Zhang, Wei Zhang, Lifu Xiao, Yan Liu, Timothy A. Gilbertson, Anhong Zhou

Biological Engineering Faculty Publications

In this study, 4-mercaptobenzoic acid (MBA)-Au nanorods conjugated with a GPR120 antibody were developed as a highly sensitive surface-enhanced Raman spectroscopy (SERS) probe, and were applied to detect the interaction of fatty acids (FA) and their cognate receptor, GPR120, on the surface of human embryonic kidney cells (HEK293-GPRR120) cultured in a polydimethylsiloxane (PDMS) microfluidic device. Importantly, the two dominant characteristic SERS peaks of the Raman reporter molecule MBA, 1078 cm−1 and 1581 cm−1, do not overlap with the main Raman peaks from the PDMS substrate when the appropriate spectral scanning range is selected, which effectively avoided the ...


Automated Atrial Fibrillation Detection From Electrocardiogram, Senbao Lu 2019 Santa Clara University

Automated Atrial Fibrillation Detection From Electrocardiogram, Senbao Lu

Bioengineering Master's Theses

In this study, a novel Atrial Fibrillation (AFib) detection algorithm is presented based on Electrocardiography (ECG) signals. In particular, the spectrogram of ECG signal is used as an input to a Convolutional Neural Network (CNN) to classify normal and AFib ECG signals. This model is shown to perform well with an accuracy of 92.91% and a value of 0.9789 for the area under the ROC curve (AUC). This study demonstrated the potential of using image classification methods and CNN model to detect abnormal biosignals with noise.


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