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Miles S. Ellenby

Researcher at Oregon Health & Science University

Publications -  19
Citations -  759

Miles S. Ellenby is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Intensive care & Septic shock. The author has an hindex of 12, co-authored 19 publications receiving 701 citations. Previous affiliations of Miles S. Ellenby include Portland State University & University of Portland.

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An automatic beat detection algorithm for pressure signals

TL;DR: An automatic detection algorithm for pressure signals that locates the first peak following each heart beat that is called the percussion peak in intracranial pressure (ICP) signals and the systolic peak in arterial blood pressure (ABP) and pulse oximetry (SpO/sub 2/) signals is designed.
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Uncoupling And Recoupling Of Autonomic Regulation Of The Heart Beat In Pediatric Septic Shock

TL;DR: In this article, the authors evaluated the uncoupling and recoupling phenomenon in children with septic shock by observing serial changes in heart rate variability metrics Data were collected from 7 children with Septic shock using the computer system in the Complex Systems Laboratory at Oregon Health Sciences University Heart rate time series were constructed and analyzed by using the Hales Research System at intervals of 6 h during the PICU hospitalization.
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Videos in clinical medicine. Lumbar puncture.

TL;DR: From the Department of Pediatrics, Division of Pediatric Critical Care, Doernbecher Children’s Hospital, Oregon Health and Science University, Portland.

UNCOUPLING AND RECOUPLING OF AUTONOMIC REGULATION OF THE HEART BEAT IN PEDIATRIC SEPTIC SHOCK Running Head: Uncoupling and recoupling in septic shock

TL;DR: Compared to the initial 24 h in the PICU, low-frequency power and the low-/high-frequency ratio increased, whereas high- frequencies power decreased over the course of the illness, showing the potential value of monitoring the uncoupling and recoupling phenomenon in patients with septic shock.
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Physiologic data acquisition system and database for the study of disease dynamics in the intensive care unit.

TL;DR: A real-time, continuous physiologic data acquisition system that can capture, store, and archive data from pediatric intensive care unit patients for subsequent time series analysis of dynamic changes in physiologic state is successfully developed.