1 - A Comprehensive Study Of Motor Imagery Eeg-Based Classification Using Computational Analysis, 2018 Georgia Southern University
1 - A Comprehensive Study Of Motor Imagery Eeg-Based Classification Using Computational Analysis, Justin Mccorkle, Andrew Kalaani
Georgia Undergraduate Research Conference (GURC)
Brain computer interfaces (BCI) are systems that integrate a user’s neural features with robotic machines to perform tasks. BCI systems are very unstable still due to Electroencephalography (EEG) having interference from unanticipated noise. Using Independent Component Analysis (ICA), a novel variable threshold model for noise feature extraction. The de-noised EEG data is classified with a high accuracy of more than 94% when using artificial neural networks. The effectiveness of the proposed variable threshold model is validated by the significant reduction in the variance of user classification accuracy across multiple sessions. Nonetheless, based on the variance and classification, subjects are ...
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, 2018 University of Central Florida
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco
Buenaventura "Ven" Basco
No abstract provided.
A Biomechanical And Physiological Signal Monitoring System For Four Degrees Of Upper Limb Movement, 2018 The University of Western Ontario
A Biomechanical And Physiological Signal Monitoring System For Four Degrees Of Upper Limb Movement, Allison R. Goldman
Electronic Thesis and Dissertation Repository
A lack of adherence to prescribed physical therapy regimens in improper healing results in poor outcomes for those affected by musculoskeletal disorders (MSDs) of the upper limb. Societal and psychological barriers to proper adherence can be addressed through the system presented in this work consisting of the following components: an ambulatory biosignal acquisition sleeve, an electromyography (EMG) based motion repetition detection algorithm, and the design of a compatible capacitive EMG acquisition module.
The biosignal acquisition sleeve was untethered, unobtrusive to motion, contained only modular components, and collected biomechanical and physiological sensor data to form full motion profiles of the following ...
Voltage Effects On Muscarinic Acetylcholine Receptor-Mediated Contractions Of Airway Smooth Muscle, 2018 Old Dominion University
Voltage Effects On Muscarinic Acetylcholine Receptor-Mediated Contractions Of Airway Smooth Muscle, Iurii Semenov, Robert Brenner
Studies have shown that the activity of muscarinic receptors and their affinity to agonists are sensitive to membrane potential. It was reported that in airway smooth muscle (ASM) depolarization evoked by high K+ solution increases contractility through direct effects on M3 muscarinic receptors. In this study, we assessed the physiological relevance of voltage sensitivity of muscarinic receptors on ASM contractility. Our findings reveal that depolarization by high K+ solution induces contraction in intact mouse trachea predominantly through activation of acetylcholine release from embedded nerves, and to a lesser extent by direct effects on M3 receptors. We therefore devised a pharmacological ...
Neural Coding Of An Auditory Pitch Illusion, 2018 University of Los Andes, Colombia
Neural Coding Of An Auditory Pitch Illusion, Maria Alejandra Barrera, Mark Sayles, Ravinderjit Singh
The Summer Undergraduate Research Fellowship (SURF) Symposium
Pitch is an important perceptual dimension in audition, supporting auditory object segregation, melody recognition and lexical distinction. Huggins’ pitch, for example, is a phenomenon evoked by two sources of broadband noise presented binaurally with an inter-aural phase shift over a narrow frequency band. Huggins’ pitch and other dichotic pitches have been studied extensively using perceptual experiments. Several models have been proposed to explain and predict the perception of pitch; however, no studies have tried to record in vivo neuron responses to Huggins’ pitch (HP) nor have tried to explain how the HP is coded by neurons. The existence of pitches ...
Non-Invasive Diagnostic Measures Of Sensorineural Hearing Loss In Chinchillas, 2018 Purdue University
Non-Invasive Diagnostic Measures Of Sensorineural Hearing Loss In Chinchillas, Hannah M. Ginsberg, Satyabrata Parida, Michael G. Heinz
The Summer Undergraduate Research Fellowship (SURF) Symposium
According to the World Health Organization, disabling hearing loss affects nearly 466 million people worldwide. Sensorineural hearing loss (SNHL), which is characterized as damage to the inner ear (e.g., cochlear hair cells) and/or to the neural pathways connecting the inner ear and brain, accounts for 90% of all disabling hearing loss. More concerning is that significant perceptual and physiological aspects of SNHL remain “hidden” from standard clinical diagnostics. Hidden hearing loss (HHL) manifests as the inability to understand speech in loud, noisy environments (e.g., listening in a noisy restaurant) despite a normal audiogram (i.e., normal detection ...
Effects Of 8-Week Sensory Electrical Stimulation Combined With Motor Training On Eeg-Emg Coherence And Motor Function In Individuals With Stroke, 2018 National Yang-Ming University
Effects Of 8-Week Sensory Electrical Stimulation Combined With Motor Training On Eeg-Emg Coherence And Motor Function In Individuals With Stroke, Li-Ling Hope Pan, Wen-Wen Yang, Mei-Wun Tsai, Shun-Hwa Wei, Felipe Fregni, Vincent Chiun-Fan Chen, Li-Wei Chou
Engineering Science Faculty Publications
The peripheral sensory system is critical to regulating motor plasticity and motor recovery. Peripheral electrical stimulation (ES) can generate constant and adequate sensory input to influence the excitability of the motor cortex. The aim of this proof of concept study was to assess whether ES prior to each hand function training session for eight weeks can better improve neuromuscular control and hand function in chronic stroke individuals and change electroencephalography-electromyography (EEG-EMG) coherence, as compared to the control (sham ES). We recruited twelve subjects and randomly assigned them into ES and control groups. Both groups received 20-minute hand function training twice ...
Intercellular Sodium Nanodomain Signaling Regulates Repolarization In Cardiac Tissue, 2018 Virginia Commonwealth University
Intercellular Sodium Nanodomain Signaling Regulates Repolarization In Cardiac Tissue, Madison Nowak, Seth Weinberg Ph.D.
Biology and Medicine Through Mathematics Conference
No abstract provided.
Computational Theories For Human Stereo Vision, 2018 Southern Methodist University
Computational Theories For Human Stereo Vision, Han Gao
Electrical Engineering Theses and Dissertations
Binocular stereopsis refers to the ability to perceive depth, which has always been a central problem in perception since the time of da Vinci. The foremost theoretical difficulty that arises when attempting to understand how the visual system computes disparity is known as the correspondence or matching problem. Decades of research upon macaque primary visual cortex has shown that in each layer of the primary visual cortex (V1) long-range horizontal connections among striate cortex cells exist which integrate information from different parts of the visual field. Inspired by long-range horizontal connections in V1 and the Jeffress model, a time-delay neural ...
Chronic Nerve Interfacing Utilizing Graft-Embedded Regenerative Macro-Sieve Electrodes, 2018 Boston University
Chronic Nerve Interfacing Utilizing Graft-Embedded Regenerative Macro-Sieve Electrodes, Amrita Nishtala
Engineering and Applied Science Theses & Dissertations
Custom-designed macro-sieve electrodes represent a novel means of facilitating chronic high specificity nerve stimulation needed to control distal nerve musculature and restore sensorimotor function. Implantation of these electrodes requires the transection of the nerve, which has shown to disrupt muscle fiber distribution. This present study assesses the feasibility of implementing these electrodes in an end-to-side nerve graft. The macro-sieve electrodes were fabricated and micro-surgically implanted into 3.2 cm nerve autografts harvested from the sciatic nerve of 12 male Lewis rats. Electrode-enabled nerve grafts were micro-surgically implanted in an end-to-side manner into donor rat sciatic nerves without the need for ...
Analyzing Memcapacitive Capabilities Of Lipid And Polymer Bilayers For Use In Smart Materials, 2018 University of Tennessee, Knoxville
Analyzing Memcapacitive Capabilities Of Lipid And Polymer Bilayers For Use In Smart Materials, Megan Pitz
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
Neuromorphic engineering involves designing artificial neural systems that mimic the way neuron circuits in the brain process information and make computations. It took the fourth most powerful computer in the world (with 705,024 processor cores and 1.4 million GB of RAM) 40 minutes to simulate just one second of human brain activity. This shows a clear difference of energy use in the human brain versus modern computers; neuromorphic engineering could be how we mimic the computing power of the brain to create energy-efficient, neuron-based computers. Memristors and memcapacitors are proposed circuit elements with memory components. Memristors have been ...
Modeling Eeg And Tdcs In Scirun Software Packages, 2018 University of Rhode Island
Modeling Eeg And Tdcs In Scirun Software Packages, Aiden Keene, Aiden Thomas Keene
Senior Honors Projects
Never before has there been a greater emphasis on improving the shortcomings of treating mental health conditions. Our generation has more knowledge about technological practices with the potential to monitor and treat mental health symptoms than that of any generation before us. A breakthrough in this field made by CREmedical is called Tripolar Concentric Ring Electrodes (TCRE’s), which can measure signals from the brain more accurately than conventional electrodes. At CREmedical, TCREs are being used to study differences in electrical activity in the brain so as to identify abnormalities, and monitor responses to stimulation therapies. This semester I had ...
Longitudinal Tracking Of Physiological State With Electromyographic Signals., 2018 University of Louisville
Longitudinal Tracking Of Physiological State With Electromyographic Signals., Robert Warren Stallard
Electronic Theses and Dissertations
Electrophysiological measurements have been used in recent history to classify instantaneous physiological configurations, e.g., hand gestures. This work investigates the feasibility of working with changes in physiological configurations over time (i.e., longitudinally) using a variety of algorithms from the machine learning domain. We demonstrate a high degree of classification accuracy for a binary classification problem derived from electromyography measurements before and after a 35-day bedrest. The problem difficulty is increased with a more dynamic experiment testing for changes in astronaut sensorimotor performance by taking electromyography and force plate measurements before, during, and after a jump from a small ...
Integration Of A Sensory Driven Model For Hand Grasp Function In 3d Printed Prostheses, 2018 University of South Carolina
Integration Of A Sensory Driven Model For Hand Grasp Function In 3d Printed Prostheses, Austin T. Hetherington
My Honors Thesis was completed through the Biomedical Engineering senior design project I worked on. Our project took a mechanically operated 3D printed prosthetic hand and automated the process by which it makes a grasp. The purpose of this project was to provide an affordable, automatic prosthetic hand to those either capable and incapable of wrist flexion. The current 3D printed prosthetic models require users to bend their wrist to initiate a simple grasp. However, our design took an alternative approach by using an EMG sensor placed on the ventral side of the forearm to record muscle activity, which, upon ...
Asd Biomarker Detection On Fmri Images: Feature Learning With Data Corruptions By Analyzing Deep Neural Network Classifier Outcomes, Xiaoxiao Li 6984086
Yale Day of Data
Autism spectrum disorder (ASD) is a complex neurological and developmental disorder. It emerges early in life and is generally associated with lifelong disability. Finding the biomarkers associated with ASD is extremely helpful to understand the underlying roots of the disorder and find more targeted treatment. Previous studies suggested brain activations are abnormal in ASDs, hence functional magnetic resonance imaging (fMRI) has been used to identify ASD. In this work we addressed the problem of interpreting reliable biomarkers in classifying ASD vs. control; therefore, we proposed a 2-step pipeline: 1) classifying ASD and control fMRI images by deep neural network, and ...
Neuropsychological And Morphometric Correlates Of Decision Making With The Coin Flip Task, 2018 University of Iowa
Neuropsychological And Morphometric Correlates Of Decision Making With The Coin Flip Task, Ashten Sherman
University of Iowa Honors Theses
The purpose of this study was to determine how older adults perform on a decision- making task (referred to as the Coin Flip Task), and how this performance correlates with demographic, neuropsychological, and brain morphometry variables. The study of decision making ability among older adults is important for several reasons. First, older adults frequently make “weighty” decisions as they age, such as important financial and medical decisions. When less than optimal decisions are made, it is difficult for the older adult to recover from or fix that decision given their relatively limited longevity. Second, decision making ability emanates from a ...
Electrochemical And Spectroscopic Study Of Peptide-Template Melanins, 2018 University of New Hampshire, Durham
Electrochemical And Spectroscopic Study Of Peptide-Template Melanins, Daniel Courter, Olivia Rossi, Zhen Tian
Honors Theses and Capstones
Melanins are organic polymers made up of 5,6-dihydroxyindole carboxylic acid (DHICA) and 5,6-dihydroxyindole (DHI). Biochemical systems synthesize melanins through a complex reaction pathway. Previous research exhibited that naturally-occurring melanins (NatMel) and their synthetic analogues (SynMel) can potentially serve as electrode materials for aqueous charge storage devices. Small surface area creates technical challenges for these melanins as charge storage materials. This research herein demonstrates that the structure of melanins can affect the charge storage capacities of monovalent Na+cations and divalent Mg2+ cations. 2-D sheet-like peptide melanins (PepMel) were synthesized into tripeptides consisting of aspartic acid (D), phenylalanine ...
Tumor Cell Death After Electrotransfer Of Plasmid Dna Is Associated With Cytosolic Dna Sensor Upregulation, 2018 Old Dominion University
Tumor Cell Death After Electrotransfer Of Plasmid Dna Is Associated With Cytosolic Dna Sensor Upregulation, Katarina Znidar, Masa Bosnjak, Nina Semenova, Olga N. Pakhomova, Loree Heller, Maja Cemazar
Cytosolic DNA sensors are a subgroup of pattern recognition receptors (PRRs) and are activated by the abnormal presence of the DNA in the cytosol. Their activation leads to the upregulation of pro-inflammatory cytokines and chemokines and can also induce cell death. The presence of cytosolic DNA sensors and inflammatory cytokines in TS/A murine mammary adenocarcinoma and WEHI 164 fibrosarcoma cells was demonstrated using real time reverse transcription polymerase chain reaction (RT-PCR), western blotting and enzyme-linked immunosorbent assay (ELISA). After electrotransfer of plasmid DNA (pDNA) using two pulse protocols, the upregulation of DNA-depended activator of interferon regulatory factor or Z-DNA ...
Eeg And Emg Sensorimotor Measurements To Assess Proprioception Following Acl Reconstruction, 2018 University of New Hampshire
Eeg And Emg Sensorimotor Measurements To Assess Proprioception Following Acl Reconstruction, Teagan Frances Northrup
Honors Theses and Capstones
The Anterior Cruciate Ligament (ACL) is the primary source of rotational stability in the knee by preventing the tibia from sliding in front of the femur. When the ACL is torn, it typically must be repaired through reconstructive surgery which results in proprioceptive deficiencies in the knee. Proprioception plays an important role in understanding where one’s knee is in space, sensing movement and reacting accordingly. This study examines an alternative method of measuring proprioceptive responses to a stimulus (motion) by using electromyogram (EMG) and electroencephalogram (EEG) signals to observe muscle and brain activity. Two participants (one with an ACL ...
Development Of Novel Models To Study Deep Brain Effects Of Cortical Transcranial Magnetic Stimulation, 2018 Virginia Commonwealth University
Development Of Novel Models To Study Deep Brain Effects Of Cortical Transcranial Magnetic Stimulation, Farheen Syeda
Theses and Dissertations
Neurological disorders require varying types and degrees of treatments depending on the symptoms and underlying causes of the disease. Patients suffering from medication-refractory symptoms often undergo further treatment in the form of brain stimulation, e.g. electroconvulsive therapy (ECT), transcranial direct current stimulation (tDCS), deep brain stimulation (DBS), or transcranial magnetic stimulation (TMS). These treatments are popular and have been shown to relieve various symptoms for patients with neurological conditions. However, the underlying effects of the stimulation, and subsequently the causes of symptom-relief, are not very well understood. In particular, TMS is a non-invasive brain stimulation therapy which uses time-varying ...