Inside EP: Insights From Clinical Decision-Makers for the Industry Professional-Device Therapy: Therapy Programming and Unmet Needs

Video Transcription

Video Summary

The video focuses on defibrillator therapy, specifically the two types of therapies that can be applied: fast pacing or anti-tachycardia pacing, and a shock to the chest. The video explains how defibrillators work by delivering a high-energy therapy to the heart muscle through electrodes. It also discusses the programming options for the devices, including the cycle length, duration, and waveform matching parameters. The video highlights the challenges of defibrillator therapy, such as inappropriate shocks, over-sensing of other cardiac signals, and lead fractures. The video suggests that solutions to these challenges may lie in the field of deep learning, similar to how deep learning algorithms have been successfully used in other areas of medicine for accurate diagnosis and analysis. The video concludes by suggesting that applying deep learning algorithms to defibrillator therapy could help decrease inappropriate shocks and improve the diagnosis and prediction of arrhythmias and device malfunction.

Asset Caption

Susan S. Kim, MD, Northwestern University, Chicago, IL

Keywords

defibrillator therapy

fast pacing

anti-tachycardia pacing

shock to the chest

deep learning