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List of research publications involving AMPS
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
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)
Monday 30 September 2024
The fifteenth issue of TAI - The AMPS Insider has been published
Wednesday 26 June 2024
The fourteenth issue of TAI - The AMPS Insider has been published
Sunday 31 March 2024
The thirteenth issue of TAI - The AMPS Insider has been published
Sunday 31 December 2023
The twelfth issue of TAI - The AMPS Insider has been published
Saturday 30 September 2023
The eleventh issue of TAI - The AMPS Insider has been published
TAI n° 15 - September 2024
TAI n° 14 - June 2024
TAI n° 13 - March 2024
TAI n° 12 - December 2023
TAI n° 11 - September 2023
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