Fabio Badilini


Fabio Badilini is an Italian scientist and businessman. He has made major contributions to noninvasive electrocardiography not only through his individual contributions, but also through his truly remarkable ability to foster collaborations across scientific disciplines, academic institutions, governmental agencies, device manufacturers and industries around the world.

Early life and education

Badilini received a master's degree in biomedical engineering at the Polytechnic University of Milan, Italy, in 1989 under Sergio Cerutti. There he focused on aspects of heart rate variability that led to the development of computer applications that are today widely employed in the field of central nervous system analysis. He received his Ph.D. in electrical engineering from the University of Rochester in 1994 under Arthur J. Moss. His thesis was on beat-to-beat ST segment displacement assessment in Holter recordings. His major innovations related to ST segment variability analyses have given new impetus to improved quantitative analysis of noninvasive electrocardiographic recordings. His techniques and approaches are widely used. While working as a post-doctoral fellow with Philippe Coumel at Lariboisiere Hospital in Paris from 1994 to 1998, Badilini was instrumental in the development of the Holter Bin Method for assessing the effect of heart rate upon the QT interval that has been used in New Drug Applications to the FDA.

Career

1990s

In 1998, he led the working team that defined the International Society of Holter and Non-Invasive Electrocardiology ECG format from ambulatory ECG recordings. Notably, he was the lead technical contributor in the creation of data standards for digital ECGs submitted to the FDA ECG Warehouse used for the safety evaluation of new drugs. Badilini also developed the first ECG computer application used by the FDA to review digital ECG files on the ECG recordings electronically submitted with the new standard. Nearly every provider of ECG safety data in the drug approval process worldwide uses his tools. In addition to these contributions on standard ECG signal processing, he has developed tools to extract optimal ECG waveforms from 12-lead Holter data based upon recording artifact and heart rate stability for QT measurement.

2000s

Since 1998, he has worked in the pharmaceutical industry arena, and he is the founder and executive vice president of AMPS-LLC, NY, a company tailoring software-oriented solutions involving analysis of biomedical signals. He maintains a series of worldwide academic collaborations with leaders in many aspects of cardiovascular signal processing.

Honors and awards