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Nicholas B. Langhals

Researcher at University of Michigan

Publications -  60
Citations -  2479

Nicholas B. Langhals is an academic researcher from University of Michigan. The author has contributed to research in topics: Peripheral nerve interface & Sensory system. The author has an hindex of 18, co-authored 60 publications receiving 2091 citations. Previous affiliations of Nicholas B. Langhals include National Institutes of Health & Michigan State University.

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Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces

TL;DR: An integrated composite electrode consisting of a carbon-fibre core, a poly(p-xylylene)-based thin-film coating that acts as a dielectric barrier and that is functionalized to control intrinsic biological processes, and apoly(thiophene)-based recording pad is developed, found to elicit much reduced chronic reactive tissue responses and enabled single-neuron recording in acute and early chronic experiments in rats.
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Using a Common Average Reference to Improve Cortical Neuron Recordings From Microelectrode Arrays

TL;DR: This study generated and analyzed one of the more comprehensive chronic neural recording datasets to date, and provided a mathematical justification for CAR using Gauss-Markov theorem and therefore help place the application of CAR into a theoretical context.
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Poly(3,4-ethylenedioxythiophene) (PEDOT) polymer coatings facilitate smaller neural recording electrodes

TL;DR: Results demonstrate that PEDOT coatings enable electrode designs 15 µm in diameter, and demonstrate that chronically implanted control electrodes were unable to record well-isolated unit activity and exhibited a much lower noise floor than controls.
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Reduction of neurovascular damage resulting from microelectrode insertion into the cerebral cortex using in vivo two-photon mapping.

TL;DR: This study investigated localized bleeding resulting from inserting microscale neural probes into the cortex using two-photon microscopy (TPM) and to explore an approach to minimize blood vessel disruption through insertion methods and probe design.
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An Injectable 64 nW ECG Mixed-Signal SoC in 65 nm for Arrhythmia Monitoring

TL;DR: A syringe-implantable electrocardiography (ECG) monitoring system is proposed that successfully detecting atrial fibrillation arrhythmia and storing the irregular waveform in memory in experiments using an ECG simulator, a live sheep, and an isolated sheep heart.