Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification
This study demonstrates that a deep learning based 1D-CNN model using short segments of raw waveform data can achieve robust performance in distinguishing true and false VT alarms.
Authors
- Abhishek Maan (ORCID: https://orcid.org/0000-0002-1241-4054)
- Scott Pappada (ORCID: https://orcid.org/0000-0002-3877-6854)
- U K Khanolkar
- Avdhesh Mann
- Ashish Yadav
- Abhishek Deshmukh
Institutions
- Mayo Clinic (US)
- New York University (US)
- University of Toledo (US)
- Indian Institute of Technology Mandi (IN)
Publication Details
- Journal
- Journal of Cardiovascular Electrophysiology
- Published
- 2026-01-26
- DOI
- https://doi.org/10.1111/jce.70271
- Primary Topic
- Healthcare Technology and Patient Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00