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CarDSPlus

CarDSPlus©

Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms

About

The CarDSPlus© ECG platform is 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, 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

Download from the iOS app store.

Learn more

A detailed description of the development and validation of this tool are described in the work by Sumukh Vasisht Shankar, et al in medRxiv. This tool is for demonstration only and is not intended for clinical use. If you have any questions or feedback regarding the app or platform, please contact us at cards@yale.edu.