Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benjamin A. Teplitzky"'
Autor:
Laura M. Zitella, Benjamin A. Teplitzky, Paul eYager, Heather M. Hudson, Katelynn eBrintz, Yuval eDuchin, Noam eHarel, Jerrold L Vitek, Kenneth B. Baker, Matthew D Johnson
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Deep brain stimulation (DBS) in the pedunculopontine tegmental nucleus (PPTg) has been proposed to alleviate medically intractable gait difficulties associated with Parkinson’s disease. Clinical trials have shown somewhat variable outcomes, stemmin
Externí odkaz:
https://doaj.org/article/d8bf47e7bf2447b8bc9b319949cde240
Autor:
Laura M Zitella, YiZi Xiao, Benjamin A Teplitzky, Daniel J Kastl, Yuval Duchin, Kenneth B Baker, Jerrold L Vitek, Gregor Adriany, Essa Yacoub, Noam Harel, Matthew D Johnson
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0127049 (2015)
Structural brain imaging provides a critical framework for performing stereotactic and intraoperative MRI-guided surgical procedures, with procedural efficacy often dependent upon visualization of the target with which to operate. Here, we describe t
Externí odkaz:
https://doaj.org/article/a3ec60bb6fd64ae9a207579da8da943b
Publikováno v:
Heart Rhythm. 18:S173-S174
Publikováno v:
Heart rhythm. 17(5 Pt)
Background Increasing utilization of long-term outpatient ambulatory electrocardiographic (ECG) monitoring continues to drive the need for improved ECG interpretation algorithms. Objective The purpose of this study was to describe the BeatLogic® pla
Autor:
Benjamin A. Teplitzky, Matthew D. Johnson, Kenneth B. Baker, Allison T. Connolly, Jamille Farraye Hetke, David J. Anderson, Daryl R. Kipke, Jerrold L. Vitek, David S. Pellinen, Rio J. Vetter
Publikováno v:
IEEE Transactions on Biomedical Engineering. 63:148-157
Goal: Develop and characterize the functionality of a novel thin-film probe technology with a higher density of electrode contacts than are currently available with commercial deep brain stimulation (DBS) lead technology. Such technology has potentia
Publikováno v:
BSN
We have developed a robust fully-automated model for classifying ventricular ectopic beats. The classifier relies on a 12-layer convolutional neural network that was trained using over 5,000 expertly-annotated ECG recordings from the BodyGuardian® H
Autor:
Kelsey M, Moore, Brett T, Himmler, Benjamin A, Teplitzky, Matthew D, Johnson, Robert L, Meisel
Publikováno v:
Journal of visualized experiments : JoVE. (127)
The ability to measure neurotransmitter release on a rapid time scale allows patterns of neurotransmission to be linked to specific behaviors or manipulations; a powerful tool in elucidating underlying mechanisms and circuitry. While the technique of
Autor:
Benjamin A. Teplitzky, Gregor Adriany, Matthew D. Johnson, Yuval Duchin, Laura M. Zitella, Noam Harel, Yi Zi Xiao, Daniel J. Kastl, Essa Yacoub
Publikováno v:
Frontiers in Neuroscience
Precise neurosurgical targeting of electrode arrays within the brain is essential to the successful treatment of a range of brain disorders with deep brain stimulation (DBS) therapy. Here, we describe a set of computational tools to generate in vivo,
Publikováno v:
Frontiers in Computational Neuroscience
Deep brain stimulation (DBS) leads with radially distributed electrodes have potential to improve clinical outcomes through more selective targeting of pathways and networks within the brain. However, increasing the number of electrodes on clinical D
Autor:
Noam Harel, Paul Yager, Benjamin A. Teplitzky, Katelynn Brintz, Jerrold L. Vitek, Laura M. Zitella, Kenneth B. Baker, Heather M. Hudson, Yuval Duchin, Matthew D. Johnson
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
Deep brain stimulation (DBS) in the pedunculopontine tegmental nucleus (PPTg) has been proposed to alleviate medically intractable gait difficulties associated with Parkinson's disease. Clinical trials have shown somewhat variable outcomes, stemming