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

mHealth for Data Collection and Research (1223) Novel Sensors and Data Acquisition Methods in Cardiology (232) mHealth in a Clinical Setting (760) e-Cardiology and Telemonitoring in Cardiology (226) Wearable Devices and Sensors (1177) Fitness Trackers and Smart Pedometers/Accelerometers (684) Innovations in Cardiopulmonary Resuscitation (41) Tools, Programs and Algorithms (394)

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
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Cejudo A, Tellechea Y, Calvo A, Almeida A, Martín C, Beristain A. Scalable Big Data Platform With End-to-End Traceability for Health Data Monitoring in Older Adults: Development and Performance Evaluation. JMIR Medical Informatics 2025;13:e81701 View