G. Bortolan

发表

A review of some methods for ranking fuzzy subsets

G. Bortolan, R. Degani, 1985 .

The problem of linguistic approximation in clinical decision making

G. Bortolan, R. Degani, 1988, Int. J. Approx. Reason..

Fuzzy numbers in computerized electrocardiography

Giovanni Bortolan, Rosanna Degani, G. Bortolan, 1987 .

Ranking of Fuzzy Alternatives in Electrocardiography

G. Bortolan, G. Bortolan, R. Degani, 1983 .

Personal Verification/Identification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy

G. Bortolan, I. Jekova, 2015, BioMed research international.

Diagnostic ECG classification based on neural networks.

J. L. Willems, G. Bortolan, J. Willems, 1993, Journal of electrocardiology.

ECG analysis in the Italian longitudinal study on aging (ILSA)

G. Bortolan, M. Bressan, C. Cavaggion, 1995, Computers in Cardiology 1995.

Sequential analysis for automatic detection of atrial fibrillation and flutter

G. Bortolan, I. Christov, I. Daskalov, 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).

Automatic detection of atrial fibrillation and flutter by wave rectification method.

G. Bortolan, I. Daskalov, I. Christov, 2001, Journal of medical engineering & technology.

Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks.

G. Bortolan, I. Christov, 2004, Physiological measurement.

Effect of heart rate and body position on the complexity of the QRS and T wave in healthy subjects

G. Bortolan, I. Christov, V. Batchvarov, 2008, 2008 Computers in Cardiology.

Comparison of four methods for premature ventricular contraction and normal beat clustering

G. Bortolan, I. Christov, I. Jekova, 2005, Computers in Cardiology, 2005.

Premature ventricular contraction classification by the Kth nearest-neighbours rule

G Bortolan, I Jekova, G. Bortolan, 2005, Physiological measurement.

Pattern recognition and optimal parameter selection in premature ventricular contraction classification

G. Bortolan, I. Christov, I. Jekova, 2004, Computers in Cardiology, 2004.

T-wave alternans detection by a combined method of principal component analysis and T-wave amplitude.

G Bortolan, G. Bortolan, I. Christov, 2012, Physiological measurement.

Influence of diabetes mellitus on T wave and QRS complex alternans during stress ECG testing

Giovanni Bortolan, Iana Simova, Ivaylo Christov, 2011, 2011 Computing in Cardiology.

Automatic assessment of right ventricular repolarisation dispersion during diagnostic ajmaline test for suspected Brugada syndrome

A. Camm, G. Bortolan, I. Christov, 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

Principal Component Analysis for detection and assessment of T-wave alternans

I.I. Christov, G. Bortolan, G. Bortolan, 2008, 2008 Computers in Cardiology.

Clinical characterization by Principal Component Analysis of stress test ECG

G. Bortolan, I. Christov, I. Jekova, 2012, 2012 Computing in Cardiology.

Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics

G. Bortolan, I. Christov, I. Simova, 2021, Diagnostics.

Gender and age influences in QT-dispersion

G. Bortolan, M. Bressan, F. Golferini, 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

Study of the influence of waveform variations on the ECG correlation dimension

G. Bortolan, A. Casaleggio, C. Lamberti, 1991, [1991] Proceedings Computers in Cardiology.

ECG attenuation phenomenon with advancing age.

G. Bortolan, I. Christov, I. Simova, 2018, Journal of electrocardiology.

COMPUTERIZED ELECTROCftBDIOGRAPHY AND FUZZY SETS

G. Bortolan, R. Degani, 1986 .

G. Bortolan, I. Christov, I. Simova, 2020, 2020 Computing in Cardiology.

Post-extrasystolic changes of the vectorcardiographic T loop in healthy subjects

A. Camm, G. Bortolan, I. Christov, 2007, 2007 Computers in Cardiology.

Some investigations with the computation of the QT dispersion index in the ECG-ILSA database

G. Bortolan, M. Bressan, F. Golgerini, 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).

Different combination techniques in the computation of the QT dispersion index

G. Bortolan, M. Bressan, C. Cavaggion, 1997, Computers in Cardiology 1997.

The role of patient history in a decision support system

Giovanni Bortolan, R. Degani, C. Cavaggion, 1989, [1989] Proceedings. Computers in Cardiology.

Most probable dimension value and most flat interval methods for automatic estimation of dimension from time series

Angelo Corana, G. Bortolan, A. Casaleggio, 2004 .

Fuzzy clustering preprocessor in neural classifiers

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 1998 .

An inference system based on fuzzy logic.

G Bortolan, G. Bortolan, 1998, Journal of medical engineering & technology.

The Quantitative Management of Linguistic Terms in a Knowledge Engineering Tool: Application to Medical Reasoning

Giovanni Bortolan, Rosanna Degani, G. Bortolan, 1989, AIME.

Fuzzy decision-making in electrocardiography

Giovanni Bortolan, Rosanna Degani, G. Bortolan, 1989, Artif. Intell. Medicine.

The problem of linguistic approximation in clinical decision making

Giovanni Bortolan, Rosanna Degani, G. Bortolan, 1988, Int. J. Approx. Reason..

Possibilities of using neural networks for ECG classification.

C Brohet, G Bortolan, S Fusaro, 1996, Journal of electrocardiology.

Changes in the electrocardiogram induced by coronary artery bypass grafting

Giovanni Bortolan, Vessela Tz. Krasteva, Ivaylo Christov, 2015, 2015 Computing in Cardiology Conference (CinC).

Separation of the Electromyographic from the Electrocardiographic Signals and Vice Versa. A Topical Review of the Dynamic Procedure

Giovanni Bortolan, Atanas Gotchev, Ramun Schmid, 2020 .

Home treatment of seizures as a strategy for the long-term management of febrile convulsions in children.

G. Bortolan, A. Ventura, G. Messi, 1982, Helvetica paediatrica acta.

Prevalence of chronic diseases in older Italians: Comparing self-reported and clinical diagnoses

G. Bortolan, M. Franceschi, F. Rengo, 1997 .

Fuzzy descriptive models: an interactive framework of information granulation [ECG data]

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 2002, IEEE Trans. Fuzzy Syst..

Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 2002, Fuzzy Sets Syst..

Reconstruction problem and information granularity

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 1997, IEEE Trans. Fuzzy Syst..

QT dispersion in the elderly. The ILSA Study

Giovanni Bortolan, G. Bortolan, M. Bressan, 2004, Aging clinical and experimental research.

Noise processing in exercise ECG stress test for the analysis and the clinical characterization of QRS and T wave alternans

Giovanni Bortolan, Iana Simova, Ivaylo Christov, 2015, Biomed. Signal Process. Control..

3D ECG display with deep learning approach for identification of cardiac abnormalities from a variable number of leads

G. Bortolan, 2021, 2021 Computing in Cardiology (CinC).

Automatic estimation of the correlation dimension for the analysis of electrocardiograms

Giovanni Bortolan, A. Casaleggio, G. Bortolan, 1999, Biological Cybernetics.

Modifications in Electrocardiographic and Vectordardiographic Morphological Parameters in Elderly Males as Result of Cardiovascular Diseases and Diabetes Mellitus

G. Bortolan, I. Christov, I. Simova, 2022, Diagnostics.

Assessment of the potential of morphological ECG features for person identification

Giovanni Bortolan, Irena Jekova, Vessela Tz. Krasteva, 2015, 2015 Computing in Cardiology Conference (CinC).

Validation of QT dispersion algorithms and some clinical investigations

G. Bortolan, S. Fusaro, C. Cavaggion, 1996, Computers in Cardiology 1996.

Assessment of the stability of morphological ECG features and their potential for person verification/identification

Giovanni Bortolan, Irena Jekova, Vessela Krasteva, 2017 .

Review on the Diagnostic Potentials of the T-loop Morphology in VCG

Giovanni Bortolan, Ivaylo Christov, G. Bortolan, 2009 .

[Normal electrocardiogram in the aged (the ILSA (Italian Longitudinal Study of Aging) Project)].

G. Bortolan, M. Bressan, C. Cavaggion, 1998, Giornale italiano di cardiologia.

Hemodialysis-induced ST-segment deviation

Giovanni Bortolan, Irena Jekova, Roger Abächerli, 2015, 2015 Computing in Cardiology Conference (CinC).

Principal component analysis of the QRS complex during diagnostic ajmaline test for suspected Brugada Syndrome

G. Bortolan, G. Bortolan, I. Christov, 2010, 2010 Computing in Cardiology.

An interactive framework for an analysis of ECG signals

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 2002, Artif. Intell. Medicine.

ECG wavelet analysis for the detection of gene mutations in patients with Brugada syndrome

G. Bortolan, I. Christov, V. Batchvarov, 2011, 2011 Computing in Cardiology.

Assessment and comparison of different methods for heartbeat classification.

G Bortolan, I Christov, I Jekova, 2008, Medical engineering & physics.

A review on electrocardiographic changes in diabetic patients.

G. Bortolan, I. Christov, I. Simova, 2015, Current diabetes reviews.

T-wave alternans presence in young competitive athletes — to be or not to be accepted as a prognostic factor?

Giovanni Bortolan, Iana Simova, Ivan Gruev, 2017, 2017 Computing in Cardiology (CinC).

Episodes of T-Wave and QRS Complex Alternans in Haemodialysis Patients

Giovanni Bortolan, Iana Simova, Ivaylo Christov, 2015 .

QRS and T loops area changes during haemodialysis

Giovanni Bortolan, Iana Simova, Ivaylo Christov, 2014, Computing in Cardiology 2014.

Hyperellipsoidal Classifier for Beat Classification in ECG Signals

W. Pedrycz, Ivaylo Christov, G. Bortolan, 2012 .

Myocardial infarction and ischemia characterization from T-loop morphology in VCG

Giovanni Bortolan, Ivaylo Christov, G. Bortolan, 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).

A neuro-fuzzy architecture in a biomedical application

G. Bortolan, S. Fusaro, G. Bortolan, 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

Hyperbox classifiers for arrhythmia classification

Witold Pedrycz, Giovanni Bortolan, W. Pedrycz, 2007, Kybernetes.

A study to match duration criteria and computer ECG measurements

G. Bortolan, R. Degani, M. Bressan, 1989, [1989] Proceedings. Computers in Cardiology.