Publications

Automatized quantitative electrocardiography from digitized paper electrocardiograms: A new avenue for risk stratification in patients with Brugada syndrome

Laporte PL et al; Arch. Cardiovasc. Dis; 2025 (118):17-25.

Residual-attention deep learning model for atrial fibrillation detection from Holter recordings

Rahman MM et al; Journal of Electrocardiology; 2025 Jan 10;89:153876.

Technical article: Overview of hospital-based data capture systems that acquire continuous ECG and physiologic data

Pelter MM et al; Journal of Electrocardiology; 2024;86:153777.

News from the Division of Cardiology at the University of California, San Francisco

HeartLine; Dec 2024, Vol. 26

Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association

AA Armoundas et al; Circ Genom Precis Med. 2024 Jun; 17(3)

Early warning of atrial fibrillation using deep learning

M Gavidia et al; Patterns (N Y). 2024 Apr 18;5(6):100970

The Long-COVID autonomic syndrome in hospitalized patients: A one-year prospective cohort study

S Rigo et al; Eur J Intern Med. 2024 Feb;120:38-45

Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing

P Antiperovitch et al; JACC Clin Electrophysiol. 2024 Feb;10(2):334-345

Abstract - Residual-Attention Deep Learning Model For Atrial Fibrillation Detection From Holter Recordings

MM Rahman et al; ISCE Conference 2024

Abstract - Building New References of Normality for ECG Parameters in Children

A Sanzo et al; ISCE Conference 2024

Abstract - A New Telecardiology Model Integrated Into A General Hospital Management System For Pediatric Telemedicine Service

G Spagna et al; ISCE Conference 2024

Ventricular tachycardia and in-hospital mortality in the intensive care unit

PA Prasad et al; Heart Rhythm, 2023 Sep 28;4(11):715-722

The Long-COVID autonomic syndrome in hospitalized patients: A one-year prospective cohort study

S Rigo et al; Eur J Intern Med. 2023 Aug 29:S0953-6205.

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications

M Rahman et al; Sensors 2023; 23, 5237.

Agreement of Computerized QT and QTc Interval Measurements Between Both Bedside and Expert Nurses Using Electronic Calipers

K Ho et al; J Cardiovasc Nurs. 2023 Oct 2.

Ischemic Preconditioning Is Present in Patients With Non-ST Elevation Myocardial Infarction Screened With Electrocardiogram-Derived Moderate Obstructive Sleep Apnea

E Borczynski et al; J Cardiovasc Nurs. 2023 May-Jun 01;38(3):299-306.

Evaluation of premature ventricular complexes during in-hospital ECG monitoring as a predictor of ventricular tachycardia in an intensive care unit cohort

S Suba et al; Res Nurs Health. 2023 May 1.

An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients

MM Pelter et al; Ann Noninvasive Electrocardiol. 2023;00:e13054.

Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals

MM Rahman et al; Cinc 2023, vol. 50. ISSN: 2325-887X DOI: 10.22489/CinC.2023.340

Thoracic Impedance Pneumography–Derived Respiratory Alarms and Associated Patient Characteristics

LK Bawua et al; Am J Crit Care; 2022, 31(5):355-365

CER-S, an ECG Platform for the Management of Continuous ECG Recordings and Databases

M Vaglio et al; CinC 2022, vol 49. ISSN: 2325-887X DOI: 10.22489/CinC.2022.336.

Incorporation of Serial 12-Lead Electrocardiogram with Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome

Z Bouzid et al; Ann Emerg Med; 2022, S0196-0644(22)00579

Association of N-Acetyl Asparagine with QTc in Diabetes: A Metabolomics Study

G Gravina et al; Biomedicines; 2022, 10, 1955

Premature ventricular complexes during continuous electrocardiographic monitoring in the intensive care unit: Occurrence rates and associated patient characteristics

S Suba et al; Journal of Clinical Nursing; 2022; 00:1-13

Agreement between respiratory rate measurement using a combined electrocardiographic derived method versus impedance from pneumography

LK Bawua et al; Journal of Electrocardiology; 2022; 71:16-24

Computer Assisted Patient Monitoring: Associated Patient, Clinical and ECG Characteristics and Strategy to Minimize False Alarms

MM Pelter, D Mortara, F Badilini, Hearts 2 (2021): 459-471

Effects of a cool classroom microclimate on cardiac autonomic control and cognitive performances in undergraduate students

F Barbic et al; Science of The Total Environment; (2021)

Computerized automated algorithm-based analyses of digitized paper ECGs in Brugada syndrome

F Extramiana et al; J Electrocardiol; 69 - Supplement (2021) 61-66

Association of thyroid-stimulating hormone with corrected QT interval variation: A prospective cohort study among patients with type 2 diabetes

R Madhukar et al; Arch Cardiovasc Dis. 2021 Oct;114(10):656-666

Long QT syndrome, artificial intelligence, and common sense - Editorial European Heart Journal

PJ Schwartz et al; Eur Heart J. 2021 00:1-3

Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome

E Prifti et al; Eur Heart J. 2021 Oct 7;42(38):3948-3961

ECG alarms during left ventricular assist device (LVAD) therapy in the ICU

K Watanakeeree et al; Heart & Lung 50 (2021) 763-769

Validation of an algorithm for continuous monitoring of atrial fibrillation using a consumer smartwatch

R Avram et al; Heart Rhythm 2021 Sep;18(9):1482-1490

Sex influences on ventricular repolarization duration in normal subjects and in type 1, 2 and 3 long QT syndrome patients: Different effect in acquired and congenital type 2 LQTS

F Extramiana et al; J Electrocardiol; 62 (2020) 148-154

Correction of QRS voltage for body mass index does not improve the prediction of fatal and nonfatal cardiovascular events. The Moli-sani study

M Salvetti et al; Nutr Metab Cardiovasc Dis. 2020 Mar 9;30(3):426-433

Cardiovascular autonomic individual profile of relapsing-remitting multiple sclerosis patients and risk of extending cardiac monitoring after first dose fingolimod

E Vanoli et al; J Neurol Sci. 2019 Oct 15;405

Correction of the QRS duration for heart rate

JW Mason et al; J Electrocardiol; 54 (2019) 1-4

Population Prevalence and Correlates of Prolonged QT Interval: Cross-Sectional, Population-Based Study From Rural Uganda

IM Magodoro et al; Glob Heart; 14 (2019) 17-25

Comparison of automated interval measurements by widely used algorithms in digital electrocardiographs

P Kligfield, F Badilini et al; Am Heart J; 200 (2018) 1-10

Hypogonadism as a Reversible Cause of Torsades de Pointes in Men

JE Salem et al; Circulation; 138 (2018) 110-113

Archiving and exchange of digital ECGs: A reviewof existing data formats

F Badilini et al; J Electrocardiol; 51 (2018) S113-S115

Monitoring significant ST changes through deep learning

R Xiao et al; J Electrocardiol; 51 (2018) S78-S82

Wavelet leader multifractal analysis of heart rate variability in atrial fibrillation

K Gadhoumi et al; J Electrocardiol; 51 (2018) S83-S87

PDF–ECG in clinical practice: A model for long–term preservation of digital 12–lead ECG data

R Sassi et al; J Electrocardiol; 50 (2017) 776 – 780

A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram

AW Cairns et al; J Electrocardiol; 50 (2017) 781 – 786

An evaluation of multiple algorithms for the measurement of the heart rate corrected JTpeak interval

JP Couderc et al; J Electrocardiol; 50 (2017) 769 – 775

Automated JTpeak analysis by BRAVO

F Badilini et al; J Electrocardiol; 50 (2017) 752 – 757

Parsing HL7 aECG Files and Segmenting Leads for Interactive Progressive-based Interpretation of the 12-lead Electrocardiogram

AW Cairns et al; CinC; 44 (2017) 1 – 4

Frontal plane T-wave axis orientation predicts coronary events: Findings from the Moli-sani study

L Iacoviello et al; Atherosclerosis; 264 (2017) 51 – 57

KH176 under development for rare mitochondrial disease: a first in man randomized controlled clinical trial in healthy male volunteers

S Koene et al; Orphanet J Rare Dis; (2017) 12:163

Obesity and ECG left ventricular hypertrophy

ML Muiesan et al; J Hypertens; Jan, 35(1):162-168 (2017)

Fast, accurate and easy-to-teach QT interval assessment: The triplicate concatenation method

V Saqué et al; Arch Cardiovasc Dis; 110 (2017), 475-481

Complex Influence of Gonadotropins and Sex Steroid Hormones on QT Interval Duration

G Abehsira et al; J Clin Endocrinol Metab; Jul, 101(7):2776-2784 (2016)

A fundamental relationship between intraventricular conduction and heart rate

JW Mason, F Badilini et al; J Electrocardiol; 49(3):362-370 (2016)

Detecting moxifloxacin-induced QTc prolongation in thorough QT and early clinical phase studies using a highly automated ECG analysis approach

GK Panicker et al; Br J Pharmacol Apr; 173(8):1373-80 (2016)

Development of PDF-ECG: Further steps towards the long-term preservation of clinical electrocardiograms

F Badilini, R Sassi; J Electrocardiol; 49(5), 753-754 (2016)

SCP-ECG V3.0: An Enhanced Standard Communication Protocol for Computer-assisted Electrocardiography

P Rubel et al; CinC; 43 (2016) 309-313

T-wave axis deviation is associated with biomarkers of low-grade inflammation. Findings from the MOLI-SANI study

M Bonaccio et al; Thromb Haemost; 9, 114(5) (2015)

Study of ECG Quality using Self Learning Techniques

G Toninelli et al; CinC 41, 578-580 (2014)

Proof of Concept for an International Long-Time Preservation ECG Format

R Sassi et al; CinC 41, 461-464 (2014)

A Quantitative QT Hysteresis Model

DW Mortara, F Badilini; CinC 41, 165-168 (2014)

Rapid recovery of baroreceptor reflexes in acute myocardial infarction is a marker of effective tissue reperfusion

GM De Ferrari et al; J Cardiovasc Transl Res 7(6), 553-559 (2014)

Assessing autonomic response to repeated bouts of exercise below and above respiratory threshold: insight from dynamic analysis of RR variability

D Lucini et al; Eur J Appl Physiol 114(6), 1269-1279 (2014)

Comparison of automated measurements of electrocardiographic intervals and durations by computer-based algorithms of digital electrocardiographs

P Kligfield, F Badilini et al; Am Heart J 167(2), 150-159 (2014)

Computerised ECG repository in the Moli-sani project

L Iacoviello et al; Cardiovascular Oscillations (ESGCO), 87-88 (2014)

Are women more susceptible than men to drug-induced QT prolongation? Concentration-QTc modelling in a phase 1 study with oral rac-sotalol

B Darpo et al; Br J Clin Pharmacol 77(3), 522-531 (2013)

The "thorough QT study": a valid paradigm to test new algorithms for QT interval measurements?

F Badilini; J Electrocardiol 46, 126-127 (2013)

T-wave axis deviation, metabolic syndrome and estimated cardiovascular risk--in men and women of the MOLI-SANI study

L Rago et al; Atherosclerosis, 226(2), 412-418 (2013)

T-wave axis deviation and left ventricular hypertrophy interaction in diabetes and hypertension

D Assanelli et al; J Electrocardiol 46, 487-491 (2013)

The Moli-sani project: computerized ECG database in a population-based cohort study

L Iacoviello et al; J Electrocardiol 45, 684-689 (2012)

T-wave axis deviation, metabolic syndrome and cardiovascular risk: results from the MOLI-SANI study

D Assanelli et al; J Electrocardiol 45, 546-550 (2012)

Methodologies to characterize the QT/corrected QT interval in the presence of drug-induced heart rate changes or other autonomic effects

CE Garnett et al; Am Heart J 163, 912-930 (2012)

DynaScope: a Software Tool for the Analysis of Heart Rate Variability During Exercise

G Toninelli et al; CinC 39, 181−184 (2012)

A Machine Learning Approach for LQT1 vs LQT2 Discrimination

R Dubois et al; CinC 39 ,437−440 (2012)

Health Promotion in the Workplace: Assessing Stress and Lifestyle With an Intranet Tool

D Lucini et all. J Med Interner Res 2011;13(4):e88

Frequency domain assessment of the coupling strength between ventricular repolarization duration and heart period during graded head-up tilt

A Porta et al; J Electrocardiol 44, 662-668 (2011)

Use of ECG Quality Metrics in Clinical Trials

M Vaglio et al; CinC 37, 505−508 (2010)

Type 1 electrocardiographic burden is increased in symptomatic patients with Brugada syndrome

F Extramiana et al; J Electrocardiol 43, 408-414 (2010)

The time course of new T-wave ECG descriptors following single- and double-dose administration of sotalol in healthy subjects

F Extramiana et al; ANE 15,1526-1535 (2010)

Efficient modeling of ECG waves for morphology tracking

R Dubois et al; CinC 36, 313–316 (2009)

Automatic Extraction of ECG Strips from Continuous 12-lead Holter Recordings for QT Analysis at Prescheduled versus Optimized Time Points

F Badilini et al; ANE 14, S22–S29 (2009)

A quantitative assessment of T-wave morphology in LQT1, LQT2 and healthy individuals based on Holter recording technology

M Vaglio et al; Heart Rhythm 5, 11–18 (2008)

Automatic analysis of cardiac repolarization morphology using Gaussian mesa function modeling

F Badilini et al; J Electrocardiol 41, 588-594 (2008)

Quantitative Performance of E-Scribe Warehouse in Detecting Quality Issues with Digital Annotated ECG Data From Healthy Subjects

N Serapa, F Badilini et al; J Clin Pharmacol 48, 538-546 (2008)

Stress Management at the Worksite Reversal of Symptoms Profile and Cardiovascular Dysregulation

D Lucini et al. Hypertension. 2007;49:291-297

Analyses of Dynamic Beat-to-Beat QT–TQ Interval (ECG Restitution) Changes in Humans under Normal Sinus Rhythm and Prior to an Event of Torsades de Pointes during QT Prolongation Caused by Sotalol

A Fossa, F Badilini et al; ANE 12, 338–348 (2007)

A Fully Automatic Algorithm for the Analysis of Heart Rate Changes and Cardiac Recovery during Exercise

M Vaglio, F Badilini et al; CinC 34, 309–312 (2007)

Contrasting Time and Rate based approaches for the assessment of drug-induced QT changes

F Extramiana, F Badilini et al; J Clin Pharmacol 47, 1129-1137 (2007)

Quantitative assessment of ST segment elevation in Brugada patients

F Extramiana, F Badilini et al; Heart Rhythm 3, 1175–1181 (2006)

Control of Rapid Heart Rate Changes for Electrocardiographic Analysis: Implications for Thorough QT Studies

F Extramiana, F Badilini et al; Clin Cardiol 29, 534–539 (2006)

Implications of methodological differences in digital electrocardiogram interval measurement

F Badilini et al; J Electrocardiol 39, S152-S156 (2006)

Fractionated repolarization induced by sotalol in healthy subjects

M Vaglio et al; CinC 32, 523–526 (2005)

Holter Monitoring for QT: Types of Analyses and Endpoints The RR Bin Method in Depth

F Badilini et al; Chapter 9: Cardiac Safety of Noncardiac Drugs. Edited by J. Morganroth and I. Gussak, Humana Press (2005)

Individual QT–R-R Relationship: Average Stability over Time Does Not Rule Out an Individual Residual Variability: Implication for the Assessment of Drug Effect on the QT Interval

F Extramiana, F Badilini et al; ANE 10, 169–178 (2005)

HeartScope: a Software Tool Addressing Autonomic Nervous System Regulation

F Badilini et al; CinC 32, 259-262 (2005)

Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients

D Chemla, F Badilini; Int J Cardiol 104, 307-313 (2005)

ECGScan: a method for conversion of paper electrocardiographic printouts to digital electrocardiographic files

F Badilini et al; J Electrocardiol 38, 310-318 (2005)

Heart Rate Influences on Repolarization Duration and Morphology in Symptomatic Versus Asymptomatic KCNQ1 Mutation Carriers

F Extramiana, F Badilini et al; Am J Cardiol 95, 406-409 (2005)

Usefulness of Ventricular Repolarization Dynamicity in Predicting Arrhythmic Deaths in Patients With Ischemic Cardiomyopathy (from the European Myocardial Infarct Amiodarone Trial)

P Milliez, F Badilini et al; Am J Cardiol 95, 821-826 (2005)

The ISCE ECG Genome Pilot Challenge: A 2004 Progress Report

P Kligfield, F Badilini et al; J Electrocardiol 37, S144-S148 (2004)

Influence of atropine on fractal and complexity measures of heart rate variability

JS Perkiomaki et al; ANE 7, 326-31 (2002)

Influence of sympathetic heart rate modulation on RT interval rate adaptation in conscious dogs

P Pladys et al; Pacing Clin Electrophysiol 23, 1604-1610 (2000)

Circadian Modulation of Atrial Cycle Length in Human Chronic Permanent Atrial Fibrillation: A Noninvasive Assessment Using Long-Term Surface ECG

S Cosson et al; ANE 5, 270-278 (2000)

Frequency-domain heart rate variability in 24-hour Holter recordings: role of spectral method to assess circadian patterns and pharmacological autonomic modulation

F Badilini et al; J Electrocardiol 33, 147-57 (2000)

QT Dispersion: Comparison of Orthogonal, Quasi-orthogonal, and 12-Lead Configurations

C Sainte Beuve et al; ANE 4, 167–175 (1999)

QT interval analysis on ambulatory electrocardiogram recordings: a selective beat averaging approach

F Badilini et al; Med Biol Eng Comput 37, 71-79 (1999)

Circadian Modulation of QT Rate Dependence in Healthy Volunteers

F Extramiana, F Badilini et al; J Electrocardiol 32, 33-43 (1999)

Diagnostic performance of QT interval variables from 24-h electrocardiography in the long QT syndrome

N Neyroud N et al; Eur Heart J 19, 158-65 (1998)

Heart rate variability in passive tilt test: comparative evaluation of autoregressive and FFT spectral analyses

F Badilini et al; Pacing Clin Electrophysiol 21, 1122-32 (1998)

Dispersion of ventricular repolarization: reality? Illusion? Significance?

P Coumel et al; Circulation 97, 2491-2493 (1998)

The ISHNE Holter Standard Output File Format

F Badilini; ANE 3, 263-266 (1998)

Analysis of QT interval during passive tilt test: comparison of different correction formula

F Badilini et al; CinC 25, 713–716 (1998)

Quantitative Aspects of Ventricular Repolarization: Relationship Between Three-Dimensional T Wawe Loop Morphology and Sc alar QT Dispersion

F Badilini et al; ANE 2, 146-157 (1997)

HRV Spectral Analysis by the Averaged Periodogram: Does the Total Power of the Spectrum Really Match with the Variance of the Tachogram?

F Badilini et al; ANE 1, 423–429 (1996)

Relationship between 12-lead ECG QT dispersion and 3D-ECG repolarization loop

F Badilini et al; CinC 22, 785–788 (1995)

Automatic detection of spatial and dynamic heterogeneity of repolarization

W Zareba W et al; J Electrocardiol 27 S66-S72 (1994)

Model for the assessment of heart period and arterial pressure variability interactions and of respiration influences

G Baselli et al; Med Biol Eng Comput 32, 143-52 (1994)

Relation between ventricular repolarization duration and cardiac cycle length during 24-hour Holter recordings. Findings in normal patients and patients with long QT syndrome

M Merri et al; Circulation 85, 1816-21 (1992)

Beat-to-beat quantification and analysis of ST displacement from Holter ECGs: a new approach to ischemia detection

F Badilini et al; CinC 19, 179–182 (1992)

Statistical identification of delayed repolarization: Applicability in long QT syndrome (LQTS) population

S S Gottlieb et al; CinC 18, 297–300 (1991)