Quantifying memory in complex physiological time-series.

In a time-series, memory is a statistical feature that lasts for a period of time and distinguishes the time-series from a random, or memory-less, process. In the present study, the concept of "memory length" was used to define the time period, or scale over which rare events within a phys...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Amir H Shirazi, Mohammad R Raoufy, Haleh Ebadi, Michele De Rui, Sami Schiff, Roham Mazloom, Sohrab Hajizadeh, Shahriar Gharibzadeh, Ahmad R Dehpour, Piero Amodio, G Reza Jafari, Sara Montagnese, Ali R Mani
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
Materias:
R
Q
Acceso en línea:https://doaj.org/article/f976f94d9f024c518e431ce101b2f0a4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f976f94d9f024c518e431ce101b2f0a4
record_format dspace
spelling oai:doaj.org-article:f976f94d9f024c518e431ce101b2f0a42021-11-18T08:56:46ZQuantifying memory in complex physiological time-series.1932-620310.1371/journal.pone.0072854https://doaj.org/article/f976f94d9f024c518e431ce101b2f0a42013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24039811/?tool=EBIhttps://doaj.org/toc/1932-6203In a time-series, memory is a statistical feature that lasts for a period of time and distinguishes the time-series from a random, or memory-less, process. In the present study, the concept of "memory length" was used to define the time period, or scale over which rare events within a physiological time-series do not appear randomly. The method is based on inverse statistical analysis and provides empiric evidence that rare fluctuations in cardio-respiratory time-series are 'forgotten' quickly in healthy subjects while the memory for such events is significantly prolonged in pathological conditions such as asthma (respiratory time-series) and liver cirrhosis (heart-beat time-series). The memory length was significantly higher in patients with uncontrolled asthma compared to healthy volunteers. Likewise, it was significantly higher in patients with decompensated cirrhosis compared to those with compensated cirrhosis and healthy volunteers. We also observed that the cardio-respiratory system has simple low order dynamics and short memory around its average, and high order dynamics around rare fluctuations.Amir H ShiraziMohammad R RaoufyHaleh EbadiMichele De RuiSami SchiffRoham MazloomSohrab HajizadehShahriar GharibzadehAhmad R DehpourPiero AmodioG Reza JafariSara MontagneseAli R ManiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e72854 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Amir H Shirazi
Mohammad R Raoufy
Haleh Ebadi
Michele De Rui
Sami Schiff
Roham Mazloom
Sohrab Hajizadeh
Shahriar Gharibzadeh
Ahmad R Dehpour
Piero Amodio
G Reza Jafari
Sara Montagnese
Ali R Mani
Quantifying memory in complex physiological time-series.
description In a time-series, memory is a statistical feature that lasts for a period of time and distinguishes the time-series from a random, or memory-less, process. In the present study, the concept of "memory length" was used to define the time period, or scale over which rare events within a physiological time-series do not appear randomly. The method is based on inverse statistical analysis and provides empiric evidence that rare fluctuations in cardio-respiratory time-series are 'forgotten' quickly in healthy subjects while the memory for such events is significantly prolonged in pathological conditions such as asthma (respiratory time-series) and liver cirrhosis (heart-beat time-series). The memory length was significantly higher in patients with uncontrolled asthma compared to healthy volunteers. Likewise, it was significantly higher in patients with decompensated cirrhosis compared to those with compensated cirrhosis and healthy volunteers. We also observed that the cardio-respiratory system has simple low order dynamics and short memory around its average, and high order dynamics around rare fluctuations.
format article
author Amir H Shirazi
Mohammad R Raoufy
Haleh Ebadi
Michele De Rui
Sami Schiff
Roham Mazloom
Sohrab Hajizadeh
Shahriar Gharibzadeh
Ahmad R Dehpour
Piero Amodio
G Reza Jafari
Sara Montagnese
Ali R Mani
author_facet Amir H Shirazi
Mohammad R Raoufy
Haleh Ebadi
Michele De Rui
Sami Schiff
Roham Mazloom
Sohrab Hajizadeh
Shahriar Gharibzadeh
Ahmad R Dehpour
Piero Amodio
G Reza Jafari
Sara Montagnese
Ali R Mani
author_sort Amir H Shirazi
title Quantifying memory in complex physiological time-series.
title_short Quantifying memory in complex physiological time-series.
title_full Quantifying memory in complex physiological time-series.
title_fullStr Quantifying memory in complex physiological time-series.
title_full_unstemmed Quantifying memory in complex physiological time-series.
title_sort quantifying memory in complex physiological time-series.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/f976f94d9f024c518e431ce101b2f0a4
work_keys_str_mv AT amirhshirazi quantifyingmemoryincomplexphysiologicaltimeseries
AT mohammadrraoufy quantifyingmemoryincomplexphysiologicaltimeseries
AT halehebadi quantifyingmemoryincomplexphysiologicaltimeseries
AT michelederui quantifyingmemoryincomplexphysiologicaltimeseries
AT samischiff quantifyingmemoryincomplexphysiologicaltimeseries
AT rohammazloom quantifyingmemoryincomplexphysiologicaltimeseries
AT sohrabhajizadeh quantifyingmemoryincomplexphysiologicaltimeseries
AT shahriargharibzadeh quantifyingmemoryincomplexphysiologicaltimeseries
AT ahmadrdehpour quantifyingmemoryincomplexphysiologicaltimeseries
AT pieroamodio quantifyingmemoryincomplexphysiologicaltimeseries
AT grezajafari quantifyingmemoryincomplexphysiologicaltimeseries
AT saramontagnese quantifyingmemoryincomplexphysiologicaltimeseries
AT alirmani quantifyingmemoryincomplexphysiologicaltimeseries
_version_ 1718421181023911936