Vector Autoregressive Fractionally Integrated Models to Assess Multiscale Complexity in Cardiovascular and Respiratory Time Series

التفاصيل البيبلوغرافية
العنوان: Vector Autoregressive Fractionally Integrated Models to Assess Multiscale Complexity in Cardiovascular and Respiratory Time Series
المؤلفون: Martins, Aurora, Amado, Celestino, Rocha, Ana Paula, Silva, Maria Eduarda, Pernice, Riccardo, Javorka, Michal, Faes, Luca
المساهمون: Martins, Aurora, Amado, Celestino, Rocha, Ana Paula, Silva, Maria Eduarda, Pernice, Riccardo, Javorka, Michal, Faes, Luca
سنة النشر: 2020
المجموعة: IRIS Università degli Studi di Palermo
مصطلحات موضوعية: Cardiovascular variability, vector autoregressive fractionally integrated (VARFI) model, multiscale entropy (MSE), heart period (HP), systolic arterial pressure (SAP), Settore ING-INF/06 - Bioingegneria Elettronica E Informatica
الوصف: Cardiovascular variability is the result of the activity of several physiological control mechanisms, which involve different variables and operate across multiple time scales encompassing short term dynamics and long range correlations. This study presents a new approach to assess the multiscale complexity of multivariate time series, based on linear parametric models incorporating autoregressive coefficients and fractional integration. The approach extends to the multivariate case recent works introducing a linear parametric representation of multiscale entropy, and is exploited to assess the complexity of cardiovascular and respiratory time series in healthy subjects studied during postural and mental stress.
نوع الوثيقة: book part
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-5751-1; info:eu-repo/semantics/altIdentifier/wos/WOS:000621172600046; ispartofbook:2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); firstpage:1; lastpage:2; numberofpages:2; http://hdl.handle.net/10447/430394
DOI: 10.1109/ESGCO49734.2020.9158136
الاتاحة: http://hdl.handle.net/10447/430394
https://doi.org/10.1109/ESGCO49734.2020.9158136
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.D4803305
قاعدة البيانات: BASE
الوصف
DOI:10.1109/ESGCO49734.2020.9158136