Synthetic seismocardiogram generation using a transformer-based neural network
Abstract
To design and validate a novel deep generative model for seismocardiogram (SCG) dataset augmentation. SCG is a noninvasively acquired cardiomechanical signal used in a wide range of cardivascular monitoring tasks; however, these approaches are limited due to the scarcity of SCG data.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 13, 2023
- Source ID
- 10.1093/jamia/ocad067
Entities
People
- Asim H Gazi
- David J. Lin
- Jonathan Zia
- Mohammad Nikbakht
- Omer T. Inan
- Rishikesan Kamaleswaran
- Sungtae An
Organizations
- Emory University
- Georgia Tech
- National Institutes of Health
- National Science Foundation
- Office of Naval Research