CarDSPlus©
CarDSPlus ECG Platform
Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms
This is a research tool and is not intended for clinical use.
Copyright: Cardiovascular Data Science (CarDS) lab, Yale School of Medicine, 2023CarDSPlus ECG Platform - designed to connect with wearable devices like Apple Watch (through our home built CarDSPlus iOS app), Fitbit, and AliveCor Kardia to detect structural heart disorders.
Swift, Reliable, and Secure: CarDSPlus ECG Platform ensures a rapid data acquisition process, securely transmitting information to cloud servers for real-time analysis. Our advanced convolutional neural network (CNN) models precisely identify hidden cardiovascular diseases, providing individualized probabilities for conditions like LV Systolic Dysfunction (LVSD) and Hypertrophic Cardiomyopathy (HCM).
Performance Excellence: With a mean run time of 11-13 seconds, CarDSPlus ECG Platform boasts a 0% failure rate across five test runs, delivering dynamic and near-real-time updates through a user-friendly custom dashboard. Data privacy is prioritized through anonymization and encryption measures.
Download the iOS app from App Store: https://apps.apple.com/us/app/cardsplus/id6470764242
Development of the platform: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593062/
