Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Francisco O. Redelico"'
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28544- (2024)
Purpose: This study aims to describe the total EEG energy during episodes of intracranial hypertension (IH) and evaluate its potential as a classification feature for IH. New methods: We computed the sample correlation coefficient between intracrania
Externí odkaz:
https://doaj.org/article/150965012bae4db3938eeb213442bab2
Autor:
Alejandro Figar Gutiérrez, Francisco C. Bonofiglio, John George Karippacheril, Francisco O. Redelico, Maria de Los Angeles Iturralde
Publikováno v:
Korean Journal of Anesthesiology, Vol 75, Iss 1, Pp 86-96 (2022)
Background To detect an early increase in the inflammatory response might prove to be vital for mitigating the deleterious effects of the disease over time. Case A 52-year-old obese man with moderate asthma and hypertension, who developed COVID-19 an
Externí odkaz:
https://doaj.org/article/ee71b8d5e4ce408a96e40db01a7006da
Publikováno v:
Entropy, Vol 25, Iss 2, p 267 (2023)
Intracranial pressure (ICP) monitoring is commonly used in the follow-up of patients in intensive care units, but only a small part of the information available in the ICP time series is exploited. One of the most important features to guide patient
Externí odkaz:
https://doaj.org/article/a5aeee4ee7e8404398b003857e6937dc
Autor:
Francisco O. Redelico, Francisco Traversaro, María del Carmen García, Walter Silva, Osvaldo A. Rosso, Marcelo Risk
Publikováno v:
Entropy, Vol 19, Iss 2, p 72 (2017)
In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution function derived from symbolizat
Externí odkaz:
https://doaj.org/article/affbc983e66e486eb867114e83a3b816
Autor:
Fernando Pose, Nicolas Ciarrocchi, Carlos Videla, Maria del Carmen Garcia, Fernando D. Goldenberg, Naoum P. Issa, Christos Lazaridis, Ali Mansour, Francisco O. Redelico
Introduction Intracranial Pressure (ICP) can be continuously and reliably measured using invasive monitoring through an external ventricular catheter or an intraparenchymal probe. We explore Electroencephelograhy (EEG) to identify a reliable real tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08a8fcdaa26d36ab648ee3e1e783f19
https://doi.org/10.21203/rs.3.rs-2886885/v1
https://doi.org/10.21203/rs.3.rs-2886885/v1
Autor:
Francisco O. Redelico, Iturralde María de Los Ángeles, Alejandro Figar Gutiérrez, Francisco Carlos Bonofiglio, John George Karippacheril
Publikováno v:
Korean Journal of Anesthesiology, Vol 75, Iss 1, Pp 86-96 (2022)
Background Being able to detect an early increase in the inflammatory response might prove to be vital in COVID-19 patients for mitigating its deleterious effects over time. Case A 52-year-old man, obese, with moderate asthma and hypertension, who su
Autor:
Nicolás Quiróz, Marcelo Risk, Francisco O. Redelico, Eduardo San Román, Nicolás Ciarrocchi, Francisco Traversaro, Fernando Goldemberg
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Intracranial Pressure (ICP) is one of the main neuromonitories used today to guide the treatment of acute neurological patients in the Intensive Care Unit (ICU). Within this article the complexity of periods of intracranial hypertension is evaluated
Autor:
Nicolas Marcelo, Ciarrocchi, Fernando, Pose, Pablo, Saez, Maria Del Carman, Garcia, Fernando, Padilla, Pedro Plou, Santiago, Hem, John George, Karippacheril, Alejandro Figar, Gutiérrez, Francisco O, Redelico
Publikováno v:
Journal of Neuroscience Methods. 373:109561
Intracranial hypertension (HI) is associated with worse neurological outcomes and higher mortality. Although there are several experimental models of HI, in this article we present a reproducible, reversible, and reliable model of intracranial hypert
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030896539
The heart rate variability (HRV) analysis allows the study of the regulation mechanisms of the cardiovascular system, in both normal and pathological conditions, and the power spectral density analysis of the short-term HRV was adopted as a tool for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a4ad8edc7d7261cf1bb28a1d8770ec9
https://doi.org/10.1007/978-3-030-89654-6_20
https://doi.org/10.1007/978-3-030-89654-6_20
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030896539
Empirical mode decomposition (EMD) is a suitable transformation to analyse non-linear time series. This work presents a empirical study of intrinsic mode functions (IMFs) provided by the empirical mode decomposition. We simulate several non-gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a0412707a1d5deac13a4b2099be08bf
https://doi.org/10.1007/978-3-030-89654-6_9
https://doi.org/10.1007/978-3-030-89654-6_9