Differentiating Epileptic From Psychogenic Nonepileptic Eeg Signals Using Time Frequency And Information Theoretic Measures Of Connectivity, 2019 Grand Valley State University
Differentiating Epileptic From Psychogenic Nonepileptic Eeg Signals Using Time Frequency And Information Theoretic Measures Of Connectivity, Sarah Barnes
Differentiating psychogenic nonepileptic seizures from epileptic seizures is a difficult task that requires timely recording of psychogenic events using video electroencephalography (EEG). Interpretation of video EEG to distinguish epileptic features from signal artifacts is error prone and can lead to misdiagnosis of psychogenic seizures as epileptic seizures resulting in undue stress and ineffective treatment with antiepileptic drugs. In this study, an automated surface EEG analysis was implemented to investigate differences between patients classified as having psychogenic or epileptic seizures. Surface EEG signals were grouped corresponding to the anatomical lobes of the brain (frontal, parietal, temporal, and occipital) and central coronal ...
Expression Systems For Synthetic Spider Silk Protein Production, 2019 Utah State University
Expression Systems For Synthetic Spider Silk Protein Production, Michaela R. Hugie
All Graduate Theses and Dissertations
Spider silk is a biodegradable and biocompatible natural material that is stronger than steel and more elastic than nylon. These properties make spider silk a desirable material for many commercial products, ranging from textiles to biomedical materials. Due to spiders’ cannibalistic and territorial nature it is impossible to farm them to produce spider silk at a high enough yield to meet product demands. Therefore, a bioengineered synthetic process is necessary to produce spider silk. Synthetic spider silk has been produced in bacteria, goats, yeast, plants, mammalian cells and silkworms, but none of these processes provided a commercially viable yield or ...
Comparison Of Artifacts Between Paste And Collodion Method Of Electrode Application In Pediatric Eeg, 2019 Cohen Children's Medical Center
Comparison Of Artifacts Between Paste And Collodion Method Of Electrode Application In Pediatric Eeg, Danielle Brigham, Yash Shah, Kanwaljit Singh, Ivan Pavkovic, Shefali Karkare, Sanjeev V. Kothare
Open Access Articles
Objectives: Children pose challenges to obtain quality EEG data due to excessive artifact. Collodion is used in EEG electrodes due to its water resistance and strong adhesive qualities. This study was done to evaluate differences in artifacts between the collodion and paste method.
Methods: 115 subjects (children age > 3 years) were randomized into paste and collodion groups and artifacts evaluated at baseline and every hour over 30s increments. Age, sleep state, and number of electrodes with artifact were also documented. T-test was performed to determine differences in the various parameters between the two groups.
Results: 61 subjects were in the ...
Predictive Simulation Of Human Movement And Applications To Assistive Device Design And Control, 2019 University of Massachusetts Amherst
Predictive Simulation Of Human Movement And Applications To Assistive Device Design And Control, Vinh Nguyen
Predictive simulation based on dynamic optimization using musculoskeletal models is a powerful approach for studying biomechanics of human gait. Predictive simulation can be used for a variety of applications from designing assistive devices to testing theories of motor controls. However, one of the challenges in formulating the predictive dynamic optimization problem is that the cost function, which represents the underlying goal of the walking task (e.g., minimal energy consumption) is generally unknown and is assumed a priori. While different studies used different cost functions, the qualities of the gaits with those cost functions were often not provided. Therefore, this ...
How Unstructured Data From The Data Warehouse Can Be Used With Machine Learning And Visualization To Develop Novel Medical Technologies, Alfred A. Cecchetti
Faculty Research Day
Machine Learning (ML) can accurately classify and accurately predict disease as well as other medical events.
Device Programming, especially smartphone applications, can provide new ways to acquire, transport, store, process, and secure personalized patient data to deliver meaningful results.
Bioluminescence Resonance Energy Transfer (Bret) - Based Nanostructured Biosensor For Detection Of Glucose, 2019 The University of Western Ontario
Bioluminescence Resonance Energy Transfer (Bret) - Based Nanostructured Biosensor For Detection Of Glucose, Eugene Hwang
Electronic Thesis and Dissertation Repository
Bioluminescence resonance energy transfer (BRET) is a distance dependent, non-radiative energy transfer, which uses a bioluminescent protein to excite an acceptor through resonance energy transfer. In this thesis, BRET technology is incorporated into a sensor comprised of a recombinant protein and quantum dots. The recombinant protein, which includes the bioluminescent protein, Renilla luciferase (Rluc), is used as the donor molecule and cadmium tellurium quantum dots as the acceptor molecules. Separating the donor-acceptor pair is a recombinant protein, glucose binding protein, which changes conformation upon binding glucose and brings the pair closer together, thus allowing BRET to occur. Optimization of the ...
Effect Of Annealing On The Contact Resistance Of Aluminum On A P-Type Substrate, 2019 Singh Center for Nanotechnology
Effect Of Annealing On The Contact Resistance Of Aluminum On A P-Type Substrate, Shrey Shah, George Patrick Watson
Protocols and Reports
Aluminum contacts are widely used to form both ohmic and rectifying contacts. The process to form these contacts involves annealing, thus it is important to study the effect of annealing on the electrical properties of the contacts. Here, we present a way to measure the contact resistance of aluminum contacts formed on a p-type silicon substrate. It was found the contact resistivity decreased by an average of 18%. It was thus found that annealing at 400°C in a forming gas environment improves the electrical properties of aluminum contacts.
#43 - Gesture Recognition Of Eeg Signals Using Wavelet Transform And Artificial Neural Networks For Bci Applications, 2019 Georgia Southern University
#43 - Gesture Recognition Of Eeg Signals Using Wavelet Transform And Artificial Neural Networks For Bci Applications, Hugo Flores Garcia
Georgia Undergraduate Research Conference (GURC)
Brain-Computer Interface (BCI) systems present many advantages for their use in the fields of robotics and prosthetics. BCIs enable the control of electronic systems using only the central nervous system, allowing, for example, patients with motor neuron disease to control prosthetic limbs or electronic devices. In this study, an electroencephalographic (EEG) signal gesture recognition process for BCI applications is described. The gesture recognition process receives a raw EEG signal as an input and classifies the received input into its corresponding gesture.
The gesture data was acquired from different subjects using the EMOTIVR EPOC, a 14-channel EEG headset. 402 samples ...
#5 - Identifying Cellular Mechano-Biological Responses To Peg-Based Hydrogels, 2019 Georgia Institute of Technology
#5 - Identifying Cellular Mechano-Biological Responses To Peg-Based Hydrogels, Ian Smith, Karen E. Martin, Hannah S. Theriault
Georgia Undergraduate Research Conference (GURC)
Cells sense and respond to mechanical stimuli from their external environment through a process called mechanotransduction. Focal adhesions are integrin-containing, multiprotein structures through which mechanical force is transmitted between the extracellular matrix and the interacting cell. Cells convert the transmitted force into biological responses including migration, proliferation and differentiation. The Garcia lab has previously engineered an integrin-specific hydrogel system resulting in changes in mesenchymal stem cell (MSC) gene expression, secretome, and ultimately regenerative capacity in a murine bone repair model. However, the mechano-biological mechanism driving this cell response to varying hydrogel biophysical and biochemical properties has yet to be studied ...
Pneumothorax Radiograph Diagnosis Utilizing Deep Convolutional Neural Network, 2019 Georgia Southern University
Pneumothorax Radiograph Diagnosis Utilizing Deep Convolutional Neural Network, Ziqi Wang
Georgia Undergraduate Research Conference (GURC)
Pneumothorax is a life-threatening respiratory disease caused by physical trauma to the chest or as a complication of medical or surgical intervention (Zarogoulidis, 2014). Despite many available methods, a chest radiograph remains a primary method used for diagnosis. Although this technique is commonly used, it is challenging to diagnose based upon chest radiographs. Highly trained specialists are needed to review the chest radiographs which tends to create a large amount of additional work. Hence, in this study, our goal is to develop an algorithm using Deep Convolutional Neural Networks (DCNNs) to detect visual signs for pneumothorax in medical images and ...
Enhancing Cpr Training: Development And Assessment Of An Affordable, Open-Source Real-Time Feedback Manikin, Anish Sangari, Nitish Sood, Joseph Andrew Hauger
Georgia Undergraduate Research Conference (GURC)
Cardiopulmonary Resuscitation (CPR) is a life-saving technique used in cases of cardiac arrest. Immediate CPR can increase survival rates two to three-fold. While many CPR training courses use non-electronic CPR manikins, recent literature has shown that training on a real-time feedback CPR manikin improves functional outcomes such as chest compression rate and mean tidal volume. However, current commercially available real-time feedback manikins only measure metrics on chest compressions or can be prohibitively expensive ( >$200). Accordingly, we have designed, constructed, and tested a low-cost Arduino microcontroller-based CPR manikin that provides real-time feedback to trainees on eight critical metrics including force of ...
Enhancing Single Walled Carbon Nanotube Deposition For The Study Of Extracellular Analytes, 2019 University of Nebraska-Lincoln
Enhancing Single Walled Carbon Nanotube Deposition For The Study Of Extracellular Analytes, Joseph A. Stapleton
Biological Systems Engineering--Dissertations, Theses, and Student Research
Extracellular signaling is a dynamic process responsible for coordinating large scale biological processes. As such, understanding extracellular signaling is important to our determination of normal function and pathophysiological development. High resolution spatial and temporal information are critical to completely understanding these processes. Unfortunately, current methods of detection are lacking in either spatial or temporal resolution of extracellular products, limiting researchers’ ability to understand complex biological processes. A new group of sensors based on fluorescent single walled carbon nanotubes (SWNT) have shown the potential to provide both high quality spatial and temporal resolution for the sensing of analytes. However, while SWNT ...
Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Eeg, 2019 Old Dominion University
Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Eeg, Christoph Tremmel, Christain Herff, Tetsuya Sato, Krzysztof Rechowicz, Yasuke Yamani, Dean J. Krusienski
Electrical & Computer Engineering Faculty Publications
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is unlimited potential for applications ranging from education, to training, to entertainment, to fitness and beyond. As these interfaces continue to evolve, passive user-state monitoring can play a key role in expanding the immersive VR experience, and tracking activity for user well-being. By recording physiological signals such as the electroencephalogram (EEG) during use of a VR device, the user's interactions in the virtual environment could be adapted in real-time based on the user's cognitive state. Current VR headsets provide a logical, convenient, and unobtrusive framework for ...
Multi-Site Photoplethysmography Technology For Blood Pressure Assessment: Challenges And Recommendations, 2019 University of British Columbia
Multi-Site Photoplethysmography Technology For Blood Pressure Assessment: Challenges And Recommendations, Gabriel Chan, Rachel Cooper, Manish Hosanee, Kaylie Welykholowa, Panayiotis A. Kyriacou, Dingchang Zheng, John Allen, Derek Abbott, Nigel H. Lovell, Richard Fletcher, Mohamed Elgendi
Open Access Articles
Hypertension is one of the most prevalent diseases and is often called the "silent killer" because there are usually no early symptoms. Hypertension is also associated with multiple morbidities, including chronic kidney disease and cardiovascular disease. Early detection and intervention are therefore important. The current routine method for diagnosing hypertension is done using a sphygmomanometer, which can only provide intermittent blood pressure readings and can be confounded by various factors, such as white coat hypertension, time of day, exercise, or stress. Consequently, there is an increasing need for a non-invasive, cuff-less, and continuous blood pressure monitoring device. Multi-site photoplethysmography (PPG ...
Label-Free Microrna Optical Biosensors, 2019 Old Dominion University
Label-Free Microrna Optical Biosensors, Meimei Lai, Gymama Slaughter
MicroRNAs (miRNAs) play crucial roles in regulating gene expression. Many studies show that miRNAs have been linked to almost all kinds of disease. In addition, miRNAs are well preserved in a variety of specimens, thereby making them ideal biomarkers for biosensing applications when compared to traditional protein biomarkers. Conventional biosensors for miRNA require fluorescent labeling, which is complicated, time-consuming, laborious, costly, and exhibits low sensitivity. The detection of miRNA remains a big challenge due to their intrinsic properties such as small sizes, low abundance, and high sequence similarity. A label-free biosensor can simplify the assay and enable the direct detection ...
Morphometry And Density Analysis Of The Fifth Metacarpal, 2019 University of South Florida
Morphometry And Density Analysis Of The Fifth Metacarpal, Amrita Unnikumaran
Graduate Theses and Dissertations
The fifth metacarpal bone fracture is a common type of fracture among the young male population. With the increasing demand for early recovery from such fractures with surgical reduction, the medical manufacturers and clinicians are interested in designing a better intramedullary device for fixation. This study is an attempt to investigate the dimensional parameters of the fifth metacarpal bone and its intramedullary canal, using 3D CT scan images of cadaveric hands. The algorithm used for measurement applies principal component analysis on the subject bone, to control the information loss and normalize the spatial position of the subject. This analysis provides ...
Invertebrate Retinal Progenitors As Regenerative Models In A Microfluidic System, 2019 CUNY City College
Invertebrate Retinal Progenitors As Regenerative Models In A Microfluidic System, Caroline D. Pena, Stephanie Zhang, Robert Majeska, Tadmiri Venkatesh, Maribel Vazquez
Publications and Research
Regenerative retinal therapies have introduced progenitor cells to replace dysfunctional or injured neurons and regain visual function. While contemporary cell replacement therapies have delivered retinal progenitor cells (RPCs) within customized biomaterials to promote viability and enable transplantation, outcomes have been severely limited by the misdirected and/or insuffcient migration of transplanted cells. RPCs must achieve appropriate spatial and functional positioning in host retina, collectively, to restore vision, whereas movement of clustered cells differs substantially from the single cell migration studied in classical chemotaxis models. Defining how RPCs interact with each other, neighboring cell types and surrounding extracellular matrixes are critical ...
Atrial Fibrillation Detection From Wrist Photoplethysmography Signals Using Smartwatches, 2019 University of Connecticut - Storrs
Atrial Fibrillation Detection From Wrist Photoplethysmography Signals Using Smartwatches, Syed Khairul Bashar, Dong Han, Shirin Hajeb-Mohammadalipour, Eric Y. Ding, Cody Whitcomb, David D. Mcmanus, Ki H. Chon
Open Access Articles
Detection of atrial fibrillation (AF) from a wrist watch photoplethysmogram (PPG) signal is important because the wrist watch form factor enables long term continuous monitoring of arrhythmia in an easy and non-invasive manner. We have developed a novel method not only to detect AF from a smart wrist watch PPG signal, but also to determine whether the recorded PPG signal is corrupted by motion artifacts or not. We detect motion and noise artifacts based on the accelerometer signal and variable frequency complex demodulation based time-frequency analysis of the PPG signal. After that, we use the root mean square of successive ...
Investigation Of Cavitation-Induced Damage On Pdms Films, 2019 Iowa State University
Investigation Of Cavitation-Induced Damage On Pdms Films, Alex H. Wrede, Faisal Al-Masri, Reza Montazami, Nicole N. Hashemi
Mechanical Engineering Publications
Traumatic brain injuries (TBIs) are complex phenomena that create epidemic healthcare and financial concerns. Recent studies have theorized that cavitation exists during a TBI and has potential to induce significant damage to the surrounding anatomy. This study seeks to implement polydimethylsiloxane (PDMS) films as a placeholder of the brain to elucidate the damage that the surrounding brain tissue would experience from nearby cavitation. The apparatus includes an existing methodology that implements controlled cavitation. 3D confocal microscopy and interferometry techniques are used to characterize the surface damage to the PDMS films. Visual representation and roughness parameters on the nanoscale help elucidate ...
Influence Of Flow Rate, Nozzle Speed, Pitch And The Number Of Passes On The Thickness Of S1805 Photoresist In Suss Microtec As8 Spray Coater, 2019 Singh Center for Nanotechnology
Influence Of Flow Rate, Nozzle Speed, Pitch And The Number Of Passes On The Thickness Of S1805 Photoresist In Suss Microtec As8 Spray Coater, Rohan Sanghvi, Gyuseok Kim
S1805 positive photoresist has been deposited on single crystalline Si wafers using a Suss MicroTec Alta Spray. The inﬂuence of ﬂow rate, nozzle speed, pitch and number of passes on the thickness of the photoresist was studied. Results show that the thickness of S1805 is linearly proportional to the ﬂow rate and number of passes, and inversely proportional to the nozzle speed and pitch.