M
M. Pagani
Researcher at University of Milan
Publications - 85
Citations - 4514
M. Pagani is an academic researcher from University of Milan. The author has contributed to research in topics: Blood pressure & Heart rate. The author has an hindex of 26, co-authored 85 publications receiving 4334 citations.
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Journal ArticleDOI
Changes in autonomic regulation induced by physical training in mild hypertension.
M. Pagani,Virend K. Somers,Raffaello Furlan,Simonetta Dell’Orto,James Conway,Giuseppe Baselli,S. Cerutti,Peter Sleight,Alberto Malliani +8 more
TL;DR: The index a is proposed as a quantitative indicator of the changes in the gain of baroreceptor mechanisms occurring with physical training in mild hypertension and during a 24-hour period in ambulatory subjects.
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Power spectrum analysis of heart rate variability: a tool to explore neural regulatory mechanisms.
TL;DR: Important new information has been generated by coupling the analysis of heart rate variability (HRV) to the concept of sympatho-vagal balance, which explains part of the variability of RR interval.
Journal ArticleDOI
Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series
Alberto Porta,Stefano Guzzetti,Nicola Montano,Raffaello Furlan,M. Pagani,Alberto Malliani,S. Cerutti +6 more
TL;DR: The proposed approach based on quantification of complexity allows a full characterization of heart period dynamics and the identification of experimental conditions known to differently perturb cardiovascular regulation.
Journal ArticleDOI
Analysis of short-term oscillations of R-R and arterial pressure in conscious dogs
TL;DR: Spectral analysis of simultaneous R-R and AP variabilities quantified these oscillations that were also evaluated in units normalized by total power to focus on the balance of these two major components.
Journal ArticleDOI
Spectral and cross-spectral analysis of heart rate and arterial blood pressure variability signals
Giuseppe Baselli,Giuseppe Baselli,S. Cerutti,S. Civardi,Diego Liberati,Federico Lombardi,Alberto Malliani,M. Pagani +7 more
TL;DR: A parametric method for autoregressive (AR) auto- and cross-spectral analysis is presented for the contemporaneous processing of heart rate and arterial blood pressure variability signals and the introduced bivariate spectral analysis provides quantitative and objective means which are useful to measure the role played by the neural controlling systems on the cardiovascular signals under different pathophysiological conditions.