0000000000670492
AUTHOR
Stefano Guzzetti
An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to 24 h Holter recordings in healthy and heart failure humans.
We propose an integrated approach based on uniform quantization over a small number of levels for the evaluation and characterization of complexity of a process. This approach integrates information-domain analysis based on entropy rate, local nonlinear prediction, and pattern classification based on symbolic analysis. Normalized and non-normalized indexes quantifying complexity over short data sequences (â¼300 samples) are derived. This approach provides a rule for deciding the optimal length of the patterns that may be worth considering and some suggestions about possible strategies to group patterns into a smaller number of families. The approach is applied to 24 h Holter recordings of …
Biomarkers for diagnosing sepsis in the emergency department: A consensus document by SIBioC-Medicina di Laboratorio and the Academy of Emergency Medicine and Care
This article is drafted as a consensus document involving eight members of the Italian Society of Clinical Biochemistry and Laboratory Medicine (SIBioC) and eight members of the Academy of Emergency Medicine and Care (AcEMC), to whom a questionnaire was submitted for obtaining opinions on some recommendations about the use of biomarkers for diagnosing sepsis and managing antibiotic therapy in the emergency department. These recommendations were drafted following the National Guidelines Program (PNLG). According to the cumulative consent, three "A" recommendations (strongly recommended indication) emerged, which include biomarker availability (always available on prescription), clinical use …
Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks.
Objective: Indexes assessing the balance between redundancy and synergy were hypothesized to be helpful in characterizing cardiovascular control from spontaneous beat-to-beat variations of heart period (HP), systolic arterial pressure (SAP), and respiration (R). Methods: Net redundancy/synergy indexes were derived according to predictability and transfer entropy decomposition strategies via a multivariate linear regression approach. Indexes were tested in two protocols inducing modifications of the cardiovascular regulation via baroreflex loading/unloading (i.e., head-down tilt at −25° and graded head-up tilt at 15°, 30°, 45°, 60°, 75°, and 90°, respectively). The net redundancy/synergy of …