California Polytechnic State University, San Luis Obispo
University of Arkansas, Fayetteville
San Diego State University
University of Nebraska - Lincoln
Marquette University
Dublin Institute of Technology
Investigating The Role Of Coil Designs And Anatomical Variations In Cerebellar Tms,
2019
Iowa State University
Investigating The Role Of Coil Designs And Anatomical Variations In Cerebellar Tms, Xiaojing Zhong, Priyam Rastogi, Yifei Wang, Erik G. Lee, David C. Jiles
Electrical and Computer Engineering Publications
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique that is used for treating various neurological disorders such as major depressive disorder. TMS has been gaining popularity in the field of neurostimulation of the cerebellum, since the cerebellum is a complex structure connected with almost the entire central nervous system and TMS has promise for non-invasively probing cerebellar function. Recent studies have discovered that the cerebellum plays an important role not only in motor planning and behavior but also in the cognitive domain. However, few studies have explored how different coil designs and anatomical variations affect the effectiveness of cerebellar ...
Bme 20500 Bioelectrical Circuits,
2019
CUNY City College
Bme 20500 Bioelectrical Circuits, Jacek P. Dmochowski, Luis Cardoso
Open Educational Resources
No abstract provided.
Bioelectrical Circuits: Lecture 9,
2019
CUNY City College
Bioelectrical Circuits: Lecture 9, Jacek P. Dmochowski, Luis Cardoso
Open Educational Resources
No abstract provided.
Bioelectrical Circuits: Lecture 7,
2019
CUNY City College
Bioelectrical Circuits: Lecture 7, Jacek P. Dmochowski, Luis Cardoso
Open Educational Resources
No abstract provided.
Bioelectrical Circuits: Lecture 10,
2019
CUNY City College
Bioelectrical Circuits: Lecture 10, Jacek P. Dmochowski, Luis Cardoso
Open Educational Resources
No abstract provided.
A Possible Link Between R-Wave Amplitude Alternans And T-Wave Alternans In Ecgs,
2019
University of Kentucky
A Possible Link Between R-Wave Amplitude Alternans And T-Wave Alternans In Ecgs, Sahar Alaei
Theses and Dissertations--Biomedical Engineering
Sudden Cardiac Death (SCD) is the largest cause of natural deaths in the USA, accounting for over 300,000 deaths annually. The major reason for SCD is Ventricular Arrhythmia (VA). Therefore, there is need for exploration of approaches to predict increased risk for VA. Alternans of the T wave in the ECG (TWA) is widely investigated as a potential predictor of VA, however, clinical trials show that TWA has high negative predictive value but poor positive predictive value. A possible reason that TWA has a large number of false positives is that a pattern of alternans known as concordant alternans ...
Modeling And Simulation Methodologies For Spinal Cord Stimulation.,
2018
University of Louisville
Modeling And Simulation Methodologies For Spinal Cord Stimulation., Saliya Kumara Kirigeeganage
Electronic Theses and Dissertations
The use of neural prostheses to improve health of paraplegics has been a prime interest of neuroscientists over the last few decades. Scientists have performed experiments with spinal cord stimulation (SCS) to enable voluntary motor function of paralyzed patients. However, the experimentation on the human spinal cord is not a trivial task. Therefore, modeling and simulation techniques play a significant role in understanding the underlying concepts and mechanics of the spinal cord stimulation. In this work, simulation and modeling techniques related to spinal cord stimulation were investigated. The initial work was intended to visualize the electric field distribution patterns in ...
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
Bioelectrics Publications
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 ...
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 ...
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 ...
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 ...
