Výsledky vyhledávání - "Dane R. Schalk"

Akademický článek

A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal

Autor: Farah Masood, Milan Sharma, Davleen Mand, Shanker Nesathurai, Heather A. Simmons, Kevin Brunner, Dane R. Schalk, John B. Sledge, Hussein A. Abdullah

Publikováno v: Sensors, Vol 22, Iss 21, p 8455 (2022)

In this study, a traumatic spinal cord injury (TSCI) classification system is proposed using a convolutional neural network (CNN) technique with automatically learned features from electromyography (EMG) signals for a non-human primate (NHP) model. A

Externí odkaz: https://doaj.org/article/4657b4cd61054a5dadb03e70d22cca35

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Akademický článek

Neurophysiological Characterization of a Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Fine-Wire EMG Electrodes

Autor: Farah Masood, Hussein A. Abdullah, Nitin Seth, Heather Simmons, Kevin Brunner, Ervin Sejdic, Dane R. Schalk, William A. Graham, Amber F. Hoggatt, Douglas L. Rosene, John B. Sledge, Shanker Nesathurai

Publikováno v: Sensors, Vol 19, Iss 15, p 3303 (2019)

This study aims to characterize traumatic spinal cord injury (TSCI) neurophysiologically using an intramuscular fine-wire electromyography (EMG) electrode pair. EMG data were collected from an agonist-antagonist pair of tail muscles of Macaca fasicul

Externí odkaz: https://doaj.org/article/3d1a1e4f627d4ab99cfee163fb0fc026

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Neurophysiological Characterization of a Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Fine-Wire EMG Electrodes

Autor: Douglas L. Rosene, Farah Masood, Shanker Nesathurai, Amber Hoggatt, William A. Graham, Ervin Sejdic, Kevin Brunner, Dane R. Schalk, John B. Sledge, Hussein A. Abdullah, Heather A. Simmons, Nitin Seth

Publikováno v: Sensors, Vol 19, Iss 15, p 3303 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 15

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f47427b626e1a2db7669ec6b36fb5ab
https://doi.org/10.3390/s19153303

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Yellowjackets use nest-based cues to differentially exploit higher-quality resources

Autor: Benjamin J. Taylor, Dane R. Schalk, Robert L. Jeanne

Publikováno v: Die Naturwissenschaften. 97(12)

While foraging, social insects encounter a dynamic array of food resources of varying quality and profitability. Because food acquisition influences colony growth and fitness, natural selection can be expected to favor colonies that allocate their ov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089b6b5a4d6a6b32f42a60eb36dc68d7
https://pubmed.ncbi.nlm.nih.gov/20963577

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