Justen Robert Geddes

Works (4)

Updated: April 5th, 2024 13:12

2022 journal article

Postural orthostatic tachycardia syndrome explained using a baroreflex response model

JOURNAL OF THE ROYAL SOCIETY INTERFACE, 19(193).

By: J. Geddes n, J. Ottesen*, J. Mehlsen* & M. Olufsen n

author keywords: POTS; baroreflex; autonomic dysfunction; head-up tilt; mathematical modelling
MeSH headings : Baroreflex / physiology; Blood Pressure / physiology; Heart Rate / physiology; Humans; Postural Orthostatic Tachycardia Syndrome; Posture / physiology
TL;DR: It is demonstrated that modulation of parameters characterizing BR sensitivity allows us to predict the persistent increase in HR and the low-frequency BP and HR oscillations observed in POTS patients and that it is possible to simulate patients with neuropathic and hyperadrenergic POTS. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: September 12, 2022

2021 journal article

Classification of orthostatic intolerance through data analytics

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 59(3), 621–632.

By: S. Gilmore n, J. Hart*, J. Geddes n, C. Olsen*, J. Mehlsen*, P. Gremaud n, M. Olufsen n

author keywords: Orthostatic intolerance; Syncope; Classification; Clustering; Machine learning
MeSH headings : Autonomic Nervous System; Blood Pressure; Data Science; Heart Rate; Humans; Orthostatic Intolerance / diagnosis; Syncope / diagnosis; Tilt-Table Test
TL;DR: This study uses machine learning to categorize patients with orthostatic intolerance and shows that machine learning can provide accurate classification of disease groups for 98% of patients and two subgroups within the control patients differentiated by their BP response. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: March 8, 2021

2020 journal article

Characterization of Blood Pressure and Heart Rate Oscillations of POTS Patients via Uniform Phase Empirical Mode Decomposition

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 67(11), 3016–3025.

By: J. Geddes n, J. Mehlsen* & M. Olufsen n

author keywords: Heart rate; Oscillators; Baroreflex; Blood pressure; Empirical mode decomposition; Measurement; Aging; Empirical mode decomposition (EMD); head-up tilt (HUT); postural orthostatic tachycardia syndrome (POTS); uniform phase empirical mode decomposition (UPEMD); clustering
MeSH headings : Baroreflex; Blood Pressure; Heart Rate; Humans; Postural Orthostatic Tachycardia Syndrome; Tilt-Table Test
TL;DR: The 0.1 Hz phase response and oscillation amplitude metrics provide new markers that can improve Postural Orthostatic Tachycardia Syndrome diagnostic augmenting the existing diagnosis protocol only analyzing the change in HR. (via Semantic Scholar)
Source: Web Of Science
Added: November 24, 2020

2020 journal article

Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions

FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, 6.

By: J. Geddes n, G. Einevol*, E. Acar* & A. Stasik*

author keywords: tensor decompositions; neuroscience; local field potential (LFP); population rate model; CANDECOMP; PARAFAC; independent component analysis (ICA); principal component analysis (PCA)
TL;DR: This work defines a neural network model and based on its dynamics, compute LFPs, and designs feed-forward population rate neuron models to match the structure of state-of-the-art, large-scale LFP simulations, but downscale them to allow easy inspection and interpretation. (via Semantic Scholar)
Source: Web Of Science
Added: August 16, 2021

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.