Medicine and Health Sciences Commons^™

An Ngqd Based Diagnostic Tool For Pancreatic Cancer, Ryan Ketan Ajgaonkar, Bong Lee, Alina Valimukhametova, Anton Naumov, Giridhar Akkaraju

Research Symposium

Background: Pancreatic cancer remains difficult to detect at early stages which contributes to a poor five-yearsurvival rate. Therefore, early detection approaches based on novel technologies should be explored to address this critical health issue. Nanomaterials have recently emerged as frontrunners for diagnostic applications due to their small size in the 1-100 nm range, which facilitates one-on-one interactions with a variety of biomolecules like oligonucleotides and makes them suitable for a plethora of detection and delivery applications. In this work, the presence of specific pancreatic cancer miRNA (pre-miR-132) is detected utilizing the fluorescence properties of highly biocompatible nitrogen-doped graphene quantum dots …

Retrospective Assessment Of A Collaborative Digital Asthma Program For Medicaid-Enrolled Children In Southwest Detroit: Reductions In Short-Acting Beta-Agonist (Saba) Medication Use, Meredith Barrett, Rahul Gondalia, Vy Vuong, Leanne Kaye, Alex B. Hill, Elliot Attisha, Teresa Holtrop

Urban Studies and Planning Faculty Research Publications

Background
Real-world evidence for digitally-supported asthma programs among Medicaid-enrolled children remains limited. Using data from a collaborative quality improvement program, we evaluated the impact of a digital intervention on asthma inhaler use among children in southwest Detroit.

Methods
Children (6–13 years) enrolled with Kids Health Connection (KHC), a program involving home visits with an asthma educator, were invited to participate in a digital self-management asthma program (Propeller Health). Patients were provided with a sensor to capture short-acting beta-agonist (SABA) medication use, and given access to a paired mobile app to track usage. Patients’ healthcare providers and caregivers (“followers”) were invited …

Effects Of Localized Oxygen Production By Electrolysis On The First-Generation Glucose Sensor Response, Nandita Halder

Graduate Theses and Dissertations

Glucose sensors are very important for detecting blood glucose both in vitro and in vivo. First-generation glucose biosensors were based on the glucose oxidase (GOx) enzyme using molecular oxygen as the electron acceptor and therefore oxygen dependent. Unfortunately for in-vivo work, oxygen in the body is variable and limited. Alternative approaches to overcome the oxygen dependency came with their own limitations. The widely used and commercially available ex-vivo glucose test strip uses a mediator in place of oxygen to free it from oxygen dependency. The mediator-based technology, in most cases cannot be transferred to in vivo applications due to the …

The Use Of Motusbaseball For Pitch Monitoring And Injury Prevention, Toufic Jildeh Md, Jacob Young Bs, Brendan Page Bs, Muhammad Abbas Bs, Hardy Evans Md, Kelechi Okoroha Md

Medical Student Research Symposium

Introduction: MotusBASEBALL (MOTUS) has proven to be a reliable and accurate method for evaluating the multifactorial kinesiology involved with pitching. We sought to review the use of MOTUS in assessment of pitching parameters and identify its practicality as an injury prevention tool across the literature.

Methods: A systemic review of the literature was preformed, using key words such as MOTUS, baseball, pitcher, sensor and arm sleeve, identifying 77 total articles. Inclusion criteria entailed original articles that used MOTUS and studied baseball pitchers across any level of sport.

Results: A total of 13 articles met the inclusion criteria, producing a sample …

A New Era: Utilizing Technology Tools To Enhance Elder Independence, April Lisa Phelps

Doctoral Dissertations and Projects

The goal of this integrative review was to examine the multitude of technology tools and the evidence which supports their use to enhance elders’ independence when residing at home. Multiple journal articles and books published between July 2015 and July 2020 were examined using the PRISMA model for evidence to support or oppose the use of technology to enhance the elders’s independence. A total of 27 articles were included in the final review. An exploration of gaps in knowledge related to the issue of elders using technology tools such as wearable sensors, artificial intelligence, home monitoring, robots, mHealth, Internet of …

Development Of A Human Activity Recognition System For Ballet Tasks, Danica Hendry, Kevin Chai, Amity Campbell, Luke Hopper, Peter O'Sullivan, Leon Straker

Research outputs 2014 to 2021

Background Accurate and detailed measurement of a dancer’s training volume is a key requirement to understanding the relationship between a dancer’s pain and training volume. Currently, no system capable of quantifying a dancer’s training volume, with respect to specific movement activities, exists. The application of machine learning models to wearable sensor data for human activity recognition in sport has previously been applied to cricket, tennis and rugby. Thus, the purpose of this study was to develop a human activity recognition system using wearable sensor data to accurately identify key ballet movements (jumping and lifting the leg). Our primary objective was …

A Graphene Based–Biomimetic Molecularly Imprinted Polyaniline Sensor For Ultrasensitive Detection Of Human Cardiac Troponin T(Ctnt), Meysam Karimi, Mohammad Rabiee, Mohammadreza Tahriri, Reza Salarian, Lobat Tayebi

School of Dentistry Faculty Research and Publications

In the present work, a biomimetic nano-molecularly imprinted polymer (N-MIP) electrode based on a graphene screen-printed electrode was developed for the ultrasensitive detection of cardiac troponin T (cTnT). The biomimetic cavities for targeted sensing for analyte were fabricated by the electropolymerization of conductive co-polymer matrix of aniline and carboxylated aniline on the graphene oxide (GO) electrode, in the presence template protein (cTnT for cardiac troponin T probe) by cyclic voltammetry. The surface characterization of the sensor was performed using cyclic voltammetry (CV) and differential pulse voltammetry (DPV), and scanning electron microscopy (SEM). The best biomimetic surface nanotexture was obtained at …

Multivariate Analysis For The Quantification Of Transdermal Volatile Organic Compounds In Humans By Proton Exchange Membrane Fuel Cell System, Ahmed Hasnain Jalal

FIU Electronic Theses and Dissertations

In this research, a proton exchange membrane fuel cell (PEMFC) sensor was investigated for specific detection of volatile organic compounds (VOCs) for point-of-care (POC) diagnosis of the physiological conditions of humans. A PEMFC is an electrochemical transducer that converts chemical energy into electrical energy. A Redox reaction takes place at its electrodes whereas the volatile biomolecules (e.g. ethanol) are oxidized at the anode and ambient oxygen is reduced at the cathode. The compounds which were the focus of this investigation were ethanol (C₂H₅OH) and isoflurane (C₃H₂ClF₅O), but theoretically, the sensor …

Evaluation Of A Handheld Gluten Detection Device, Steve L. Taylor, Julie A. Nordlee, Shyamali Jayasena, Joseph L. Baumert

Department of Food Science and Technology: Faculty Publications

A portable, handheld gluten detection device, the Nima sensor, is now available for consumers wishing to determine if gluten is present in food. By United States regulation, gluten-free foods should contain < 20 ppm of gluten. Thirteen gluten-free foods (muffins, three different types of bread, three different types of pasta, puffed corn snack, ice cream, meatballs, vinegar and oil salad dressing, oatmeal, and dark chocolate) were prepared; each food was spiked on a weight-to-weight basis with gluten levels of 0, 5, 10, 20, 30, 40, and 100 ppm before processing or preparation. Unprocessed and processed foods were tested with the handheld gluten sensor and by two gluten-specific enzyme-linked immunosorbent assays (ELISAs) on the basis of the R5 and G12 monoclonal antibodies, respectively. The portable gluten detection device detected gluten in all food types at the 30-ppm addition level, failing to detect gluten in only 5 (6.4%) of 78 subsamples. At the 20-ppm addition level, the portable gluten detection device failed to detect gluten in one type of pasta but detected gluten residues in 63 (87.5%) of 72 other subsamples. The device was able to detect gluten at the 10-ppm addition level in 9 of the 13 food matrices (41 of 54 subsamples, 75.9%) but not in the three types of pasta and the puffed corn snack. The gluten-sensing device did not perform reliably at the 5-ppm addition level in 11 of 13 food matrices (exceptions: ice cream and muffins). In contrast, the ELISA methods were highly reliable at gluten addition levels of ≥ 10 ppm in all food matrices. The portable gluten detection device yielded a low percentage of false-positive results (4 of 111, 3.6%) in these food matrices. Thus, this handheld portable gluten sensor performed reliably in the detection of gluten in foods having ≥ 20 ppm of added gluten with only 18 (5.9%) of 306 failures, if results of the one type of pasta are excluded. The device worked with greater reliability as the gluten levels in the foods increased.

Sinabro: A Smartphone-Integrated Opportunistic Electrocardiogram Monitoring System, Sungjun Kwon, Dongseok Lee, Jeehoon Kim, Youngki Lee, Seungwoo Kang, Sangwon Seo, Kwangsuk Park

Research Collection School Of Computing and Information Systems

In our preliminary study, we proposed a smartphone-integrated, unobtrusive electrocardiogram (ECG) monitoring system, Sinabro, which monitors a user's ECG opportunistically during daily smartphone use without explicit user intervention. The proposed system also monitors ECG-derived features, such as heart rate (HR) and heart rate variability (HRV), to support the pervasive healthcare apps for smartphones based on the user's high-level contexts, such as stress and affective state levels. In this study, we have extended the Sinabro system by: (1) upgrading the sensor device; (2) improving the feature extraction process; and (3) evaluating extensions of the system. We evaluated these extensions with a …

Organometallic Rhenium Dyes For Nitric Oxide Detection And Imaging, Lissette I. Lozano-Lewis

FIU Electronic Theses and Dissertations

The importance of sensing Nitric Oxide (NO) in physiology and medicine has led us to explore the reactivity of NO with organometallic Re dyes. Rhenium complexes were synthesized with the ability to react with NO and sense it under physiological conditions. Fluorescent 1,10-phenantroline complexes (phen)Re(PPh₃)(CO)₂OSO₂CF₃ (1) and (phen)Re(CH₃CN)(CO)₂OSO₂CF₃ (3) can sense NO in the range of 10 - 150 mM showing a decrease in fluorescence response at 514 nm and 532 nm respectively, upon NO-donor addition (l_exc = 360 nm). (phen)Re(THF)(CO)₂OSO₂CF …

Sensor Technology: A Smart Way To Manage Continence, Paul Fish, Victoria Traynor

Faculty of Science, Medicine and Health - Papers: part A

Urinary incontinence is one of the most emotionally challenging issues facing people with dementia, and supporting continence is a major concern of both professional and family carers. Paul Fish and Victoria Traynor show how technology is able to assist with continence management.

The Estimation Of Caloric Expenditure Using Three Triaxial Accelerometers, Tyrone Gene Ceaser

Doctoral Dissertations

Accelerometer-based activity monitors are commonly used to measure physical activity energy expenditure (PAEE). Newly designed wrist and hip-worn triaxial accelerometers claim to accurately predict PAEE across a range of activities. Purpose: To determine if the Nike FuelBand (NFB), Fitbit (FB) and ActiGraph GT3X+ (AG) estimate PAEE in various activities. Methods: 21 healthy, college-aged adults wore a NFB on the right wrist, a FB on the left hip, and AG on the right hip, while performing 17 activities. AG data were analyzed using Freedson’s kcal regression equation. PAEE was measured using the Cosmed K4b² (K4). Repeated measures ANOVAs were used …

Fpga Implementation Of A Predictive Vector Quantization Image Compression Algorithm For Image Sensor Applications, Yan Wang, Amine Bermak, Abdesselam Bouzerdoum, Brian W. Ng

Professor Salim Bouzerdoum

This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression …

Peptoid Based Slide Coatings For Disease Detection Via Elisa Microarray Analysis, Melissa Lea Hebert

Graduate Theses and Dissertations

Poly-N-substituted glycines (peptoids) are a very versatile family of synthetic molecules that can be customized for any number of applications. In this study, we chose to use peptoids as a foundation for sandwich ELISA microarray analysis with a long term goal of creating an early detection device for complex diseases such as cancer. The peptoids were designed to self-assemble into microspheres to be used in coatings on the surface of the microarray substrates to increase the surface area available for antibody attachment. This increased antibody density would lead to an increase in the microarray analysis sensitivity and dynamic range. Studies …

Using A Micro-Uav For Ultra-High Resolution Multi-Sensor Observations Of Antarctic Moss Beds, Arko Lucieer, Sharon Robinson, Darren Turner, Steve Harwin, Josh Kelcey

Faculty of Science, Medicine and Health - Papers: part A

This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense 3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfM and patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailed topographic …

Fpga Implementation Of A Predictive Vector Quantization Image Compression Algorithm For Image Sensor Applications, Yan Wang, Amine Bermak, Abdesselam Bouzerdoum, Brian W. Ng

Faculty of Health and Behavioural Sciences - Papers (Archive)

This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression …

Functional Properties Of L-Glutamate Regulation In Anesthetized And Freely Moving Mice, Kevin N. Hascup

Theses and Dissertations--Neuroscience

L-glutamate (Glu) is the predominant excitatory neurotransmitter in the mammalian central nervous system with involvement encompassing learning and memory, cognition, plasticity, and motor movement. Dysregulation of the glutamatergic system is implicated in several neurological disorders including Parkinson’s disease, Alzheimer’s disease, Huntington’s disease and amyotrophic lateral sclerosis. The mechanisms underlying these neurological disorders are not clear, but evidence suggests that abnormal Glu neurotransmission plays a role. Elevated levels of Glu in the synaptic cleft overstimulate the N-methyl-Daspartate receptor leading to excitotoxicity, which causes neuronal loss in chronic neurological diseases. What is less understood is the source for the elevated Glu levels. …