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Gabriele Cevenini - IEEE Xplore Author Profile
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Gabriele Cevenini

Also published under: G. Cevenini

Publications
12
Citations
57
Publications by Year
19882019
Co-Authors:
Show All Co-Authors (29)
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Gabriele Cevenini

Also published under: G. Cevenini

Affiliation

Department of Medical Biotechnologies
University of Siena
Siena, Italy

Publication Topics

Biography

Gabriele Cevenini received the Laurea degree in electronic engineering, bioengineering from the University of Bologna, Bologna, Italy, in 1986.,He is currently a Full Professor of bioengineering with the Department of Medical Biotechnologies, University of Siena, Siena, Italy. He is involved in the modeling of biological systems and pattern recognition techniques. He has authored more than 300 scientific publications in international journals and books on bioengineering and medicine. His current research interests include control and identification of cardiorespiratory system, multivariate statistical analysis, and classification and artificial intelligence, principally applied to Dermatology, Intensive Care, and Public Health.(Based on document published on 18 April 2019).
Publications
12
Citations
57
Publications by Year
19882019
Co-Authors:
Show All Co-Authors (29)
Author's Published Works

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A Measurement System to Estimate the Pleural Pressure From the CVP for Respiratory System Monitoring

Tommaso Addabbo;Gennaro Cataldo;Gabriele Cevenini;Ada Fort;Federico Franchi;Riccardo Moretti;Marco Mugnaini;Sabino Scolletta;Valerio Vignoli

IEEE Transactions on Instrumentation and Measurement
Year: 2019 | Volume: 68, Issue: 7 | Journal Article |
Cited by: Papers (7)
We present a technique to estimate the pleural pressure combining the information provided by the central venous pressure (CVP) and electrocardiographic signals (ECG) for respiratory system monitoring. We discuss the characterization of the proposed measurement method with theoretical modeling, numerical analysis, and experiments based on signals acquired from intensive care unit patients. The res...Show More

A Measurement System to Estimate the Pleural Pressure From the CVP for Respiratory System Monitoring

Tommaso Addabbo;Gennaro Cataldo;Gabriele Cevenini;Ada Fort;Federico Franchi;Riccardo Moretti;Marco Mugnaini;Sabino Scolletta;Valerio Vignoli

Year: 2019 | Volume: 68, Issue: 7 | Journal Article |

A Novel Measurement System to Estimate the Trans-Pulmonary Pressure Exploiting the Central Venous Pressure and ECG Signals

T. Addabbo;A. Fort;R. Moretti;M. Mugnaini;V. Vignoli;G. Cataldo;G. Cevenini;F. Franchi

2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
We present a measurement system to estimate the trans-pulmonary pressure combining the information provided by the central venous pressure and the electrocardiographic signals. We discuss the characterization of the measurement system with theoretical modeling, numerical analysis and experiments based on signals acquired from intensive care unit patients. The results confirm the validity of the pr...Show More

A Novel Measurement System to Estimate the Trans-Pulmonary Pressure Exploiting the Central Venous Pressure and ECG Signals

T. Addabbo;A. Fort;R. Moretti;M. Mugnaini;V. Vignoli;G. Cataldo;G. Cevenini;F. Franchi

Year: 2018 | Conference Paper |

Spitz nevus versus atypical Spitz tumor: Objective morphological differentiation by digital dermoscopy analysis

Pietro Rubegni;Linda Tognetti;Michele Pellegrino;Marco Burroni;Michele Fimiani;Clelia Miracco;Elisa Cinotti;Frédéric Cambazard;Riccardo Bono;Gabriele Cevenini

2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Spitzoid melanocytic skin lesions (MSL) include Spitz nevi (SN) and spitzoid melanomas (SM). A third rare subset was described, atypical spitz tumors (AST), that share overlapping histologic features of SN and SM. Being difficult to diagnose lesions, both with dermoscopy and histology, there is considerable uncertainty regarding their biological potential. We aimed to investigate if digital dermos...Show More

Spitz nevus versus atypical Spitz tumor: Objective morphological differentiation by digital dermoscopy analysis

Pietro Rubegni;Linda Tognetti;Michele Pellegrino;Marco Burroni;Michele Fimiani;Clelia Miracco;Elisa Cinotti;Frédéric Cambazard;Riccardo Bono;Gabriele Cevenini

Year: 2016 | Conference Paper |

Scoring systems in dermatology

Gabriele Cevenini;Simone Furini;Paolo Barbini;Linda Tognetti;Pietro Rubegni

2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Three scoring systems were considered and described for dermatological applications in which malignant and benign skin lesions have to be recognized: two models are derived from logistic regression and naïve Bayes rule by rounding model parameters to their nearest integer values; the third approach defines the scoring system by a direct stepwise adding of the most significant binary risk factors. ...Show More

Scoring systems in dermatology

Gabriele Cevenini;Simone Furini;Paolo Barbini;Linda Tognetti;Pietro Rubegni

Year: 2016 | Conference Paper |

Expiratory flow limitation in mechanically ventilated patients: a simulation study

C. Brighenti;G. Gnudi;G. Cevenini;P. Barbini

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)
Year: 2003 | Conference Paper |
A non-linear lumped-parameter model of the tracheobronchial tree has been recently proposed to simulate expiratory flow limitation (EFL) in mechanical ventilation. The model is based on Weibel's symmetrical description of lung anatomy subdivided into 24 generations, where the first 17 generations correspond to conductive airways and the last 7 generations belong to the respiratory zone. Thanks to ...Show More

Expiratory flow limitation in mechanically ventilated patients: a simulation study

C. Brighenti;G. Gnudi;G. Cevenini;P. Barbini

Year: 2003 | Volume: 1 | Conference Paper |

A neural network improves the classification of high-risk intensive care patients

G. Cevenini;M.R. Massai;A. Balistreri;P. Barbini

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 1996 | Conference Paper |
Cited by: Patents (8)
A two-layer feedforward neural network for classifying intensive care patients as normal or at risk for severe cardiorespiratory disorders was designed and compared with the best, previously investigated, Bayesian classifier of similar complexity. At three distinct observation times soon after heart surgery, the three variables most effective in separating the two classes were measured and used to...Show More

A neural network improves the classification of high-risk intensive care patients

G. Cevenini;M.R. Massai;A. Balistreri;P. Barbini

Year: 1996 | Volume: 5 | Conference Paper |

A stepwise regression approach applied to evaluation of nonlinear patterns in breathing mechanics

G. Cevenini;M.R. Massai;P. Barbini

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 1996 | Conference Paper |
Cited by: Papers (1)
A multiple linear stepwise regression approach was applied to respiratory data from intensive care patients. The influence of different nonlinear viscoelastic properties on the prediction of pressure at the airway opening taken as dependent variable was studied by entering and removing potential predictive variables. These variables were derived from measured ventilatory flow data so as to quantit...Show More

A stepwise regression approach applied to evaluation of nonlinear patterns in breathing mechanics

G. Cevenini;M.R. Massai;P. Barbini

Year: 1996 | Volume: 5 | Conference Paper |

Influence of flow pattern on the parameter estimates of a simple breathing mechanics model

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini

IEEE Transactions on Biomedical Engineering
Year: 1995 | Volume: 42, Issue: 4 | Journal Article |
The first-order model of breathing mechanics is widely used in clinical practice to assess the viscoelastic properties of the respiratory system. Although simple, this model takes the predominant features of the pressure-flow relationship into account but gives highly systematic residuals between measured and model-predicted variables. To achieve a better fit of the entire data set, an approach hy...Show More

Influence of flow pattern on the parameter estimates of a simple breathing mechanics model

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini

Year: 1995 | Volume: 42, Issue: 4 | Journal Article |

Two new algorithms for tracking arterial parameters in nonstationary noise conditions

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini

IEEE Transactions on Biomedical Engineering
Year: 1995 | Volume: 42, Issue: 3 | Journal Article |
Cited by: Papers (3)
Two new algorithms with reduced sensitivity to the changing environment are applied to tracking arterial circulation parameters. They are variants of the Least-Squares (LS) algorithm with Variable Forgetting factor (LSVF), and of the Constant Forgetting factor-Covariance Modification (CFCM) LS algorithm, devised to overcome their main practical deficiencies related to noise level sensitivity and t...Show More

Two new algorithms for tracking arterial parameters in nonstationary noise conditions

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini

Year: 1995 | Volume: 42, Issue: 3 | Journal Article |

Tracking time-varying properties of the systemic vascular bed

G. Avanzolini;P. Barbini;A. Capello;G. Cevenini;V. Pohl;T. Sikora

IEEE Transactions on Biomedical Engineering
Year: 1989 | Volume: 36, Issue: 3 | Journal Article |
The problem of tracking changes in viscoelastic properties of the systemic arterial bed is considered, and a recursive estimation procedure, belonging to the class of output-error algorithms with adjustable compensator, is developed and discussed. By means of computer simulation, suitable values are determined for the key design variable which controls the tradeoff between the tracking ability and...Show More

Tracking time-varying properties of the systemic vascular bed

G. Avanzolini;P. Barbini;A. Capello;G. Cevenini;V. Pohl;T. Sikora

Year: 1989 | Volume: 36, Issue: 3 | Journal Article |

Electrical analogs for monitoring vascular properties in artificial heart studies

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini;D. Moller;V. Pohl;T. Sikora

IEEE Transactions on Biomedical Engineering
Year: 1989 | Volume: 36, Issue: 4 | Journal Article |
Cited by: Papers (7)
The problem of choosing parametric descriptions of the systematic vascular bed suitable for monitoring beat-to-beat changes in peripheral vascular properties is considered. Three simple models with two, three, and five elements are compared, essentially exploiting the Akaike information criterion combined with reasonable requirements for estimate accuracy. Analysis of pressure data, which are eith...
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Electrical analogs for monitoring vascular properties in artificial heart studies

G. Avanzolini;P. Barbini;A. Cappello;G. Cevenini;D. Moller;V. Pohl;T. Sikora

Year: 1989 | Volume: 36, Issue: 4 | Journal Article |

Real-time tracking of breathing parameters in mechanically ventilated dogs

P. Barbini;A. Capello;G. Cevenini

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 1988 | Conference Paper |
Cited by: Papers (3)
A recursive identification algorithm with a constant forgetting factor is applied to online identification of the mechanical properties of the respiratory system. The well-known two-parameter model, accounting for pulmonary compliance and resistance, is adopted to characterize breathing mechanics. The algorithm is first tested by using flow and pressure data measured on mechanically ventilated dog...
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Real-time tracking of breathing parameters in mechanically ventilated dogs

P. Barbini;A. Capello;G. Cevenini

Year: 1988 | Conference Paper |

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