Publications

The Impact of High-Frequency-Based Stability on the Onset of Action Potentials in Neuron Models

This paper studies the phenomenon of conduction block in model neurons using high-frequency biphasic stimulation (HFBS). The focus is …
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Towards a more accurate quasi-static approximation of the electric potential for neurostimulation with kilohertz-frequency sources*

Objective. Our goal was to determine the conditions for which a more precise calculation of the electric potential than the …
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Approximation and stability results for the parabolic FitzHugh-Nagumo system with combined rapidly oscillating sources

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An automatic method for detection of evoked events in the brain during spinal cord stimulation

Parkinson’s disease (PD) is a neurodegenerative brain disorder that mainly affects the elderly population and currently has no cure, …
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A partially averaged system to model neuron responses to interferential current stimulation

The interferential current (IFC) therapy is a noninvasive electrical neurostimulation technique intended to activate deep neurons using …
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Multiscale Entropy Analysis of Retinal Signals Reveals Reduced Complexity in a Mouse Model of Alzheimer's Disease

Alzheimer’s disease (AD) is one of the most significant health challenges of our time, affecting a growing number of the elderly …
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Design of a low-cost neuromuscular blockade monitoring device

The increasing number of hospitalizations due to the ongoing pandemic has brought medical devices to the forefront of clinical …
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Creating a neuroprosthesis for active tactile exploration of textures

Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic somatic sensation and, …
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Nerve excitation using an amplitude-modulated signal with kilohertz-frequency carrier and non-zero offset

BACKGROUND Incorporating kilohertz-frequency signals in transcutaneous electrical stimulation has been proposed as a means to overcome …
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Quantitative Analysis of Kilohertz-Frequency Neurostimulation

Mainstream electrical stimulation therapies, e.g., spinal cord stimulation (SCS) and deep brain stimulation, use pulse trains that are …
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Quantification of Dorsal Column Fiber Responses in a Model of Kilohertz-Frequency Spinal Cord Stimulation

Introduction Kilohertz-frequency spinal cord stimulation (KHF-SCS) was recently proposed as a paresthesia-free treatment for persons …

Effects of frequency-dependent membrane capacitance on neural excitability

Objective. Models of excitable cells consider the membrane specific capacitance as a ubiquitous and constant parameter. However, …
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Phantom Model of Transcutaneous Electrical Stimulation with Kilohertz Signals

textcopyright 2015 IEEE. Transcutaneous electrical stimulation (TES) of nerve fibers may be optimized by overcoming the impedance of …
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Mammalian Motor Nerve Fibers, Models of

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Volume conductor model of transcutaneous electrical stimulation with kilohertz signals.

OBJECTIVE: Incorporating high-frequency components in transcutaneous electrical stimulation (TES) waveforms may make it possible to …
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Circuit and volume conductor models of transcutaneous electrical stimulation

Electrical stimulation of peripheral nerves is a widespread technique for the treatment of neurological diseases and disorders. …
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Stochastic Facilitation of Artificial Tactile Sensation in Primates

Artificial sensation via electrical or optical stimulation of brain sensory areas offers a promising treatment for sensory deficits. …
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Ore grade estimation by feature selection and voting using boundary detection in digital image analysis

In mining, rock classification plays a crucial role at different stages of the extraction process ranging from the design of the mine …
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A critical experimental study of the classical tactile threshold theory.

The tactile sense is being used in a variety of applications involving tactile human-machine interfaces. In a significant number of …
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Coincidence-enhanced stochastic resonance: Experimental evidence challenges the psychophysical theory behind stochastic resonance

Stochastic resonance (SR) is the counterintuitive phenomenon in which noise enhances detection of sub-threshold stimuli. The SR …
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Linear versus nonlinear neural modeling for 2-D pattern recognition

This paper compares the classification performance of linear-system- and neural-network-based models in handwritten-digit …
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