This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (1196) Novel Sensors and Data Acquisition Methods in Cardiology (225) mHealth in a Clinical Setting (743) e-Cardiology and Telemonitoring in Cardiology (221) Wearable Devices and Sensors (1133) Fitness Trackers and Smart Pedometers/Accelerometers (665) Innovations in Cardiopulmonary Resuscitation (41) Tools, Programs and Algorithms (376)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57469, first published .
Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

Authors of this article:

Gaurav Rao1 Author Orcid Image ;   David W Savage2 Author Orcid Image ;   Gabrielle Erickson2 Author Orcid Image ;   Nathan Kyryluk2 Author Orcid Image ;   Pawan Lingras1 Author Orcid Image ;   Vijay Mago3 Author Orcid Image
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