BioSig Technologies Inc (NASDAQ:BSGM), a medical technology company, announced Monday that an abstract related to the company’s PURE EP electrocardiogram technology co-authored by its CEO has been accepted for presentation at the 2020 Computing in Cardiology conference (CinC) this week.
The manuscript, titled, “Computational Reconstruction of Electrocardiogram Lead Placement” presents a method for computationally reconstructing the spatial placement of electrocardiogram (ECG) leads (graphical representations of electrical activity in the heart) using only correlations between their recorded signals and without requiring any external calibration or prior knowledge, the company said.
The abstract was co-authored by Alexander Wissner-Gross of Reified LLC, Suraj Kapa of the Mayo Clinic, James Lee, Natasha Drapeau, and BioSig CEO Kenneth Londoner.
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“We are encouraged by the early successes that Alex and his team have demonstrated in developing machine learning solutions for PURE EP,” Londoner said in a statement. “From early disease detection to more accurate diagnosis to improved decision making during treatment, the transformative potential of artificial intelligence and machine learning in healthcare is vast. We are excited to report on our progress during the CinC 2020 and look forward to exploring further clinical applications through novel AI-powered algorithms.”
BioSig’s PURE EP is a computerized system that acquires, measures, amplifies and stores the electrocardiographic and intracardiac signals of patients undergoing electrophysiology procedures.
“We found that electrophysiological waveforms could encode a surprising amount of spatial information about the context in which they were recorded and look forward to translating this and other advanced biomedical signal analytics into clinical usage,” Wissner-Gross said.
The CinC is being held September 13-16 in a hybrid of live and online sessions in Rimini, Italy. BioSig’s abstract will be presented virtually by Wissner-Gross, on September 15 at 9:45 am ET (3:45 pm Central European Time).
The event provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research on topics about computing in cardiology and cardiovascular physiology.
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