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

Development of Novel Medical Devices and Innovations for Existing Devices (83) Novel Sensors and Data Acquisition Methods in Cardiology (200) JMIR Theme Issue: COVID-19 Special Issue (2461)

Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24388, first published .
Personalized Monitoring Model for Electrocardiogram Signals: Diagnostic Accuracy Study

Personalized Monitoring Model for Electrocardiogram Signals: Diagnostic Accuracy Study

Personalized Monitoring Model for Electrocardiogram Signals: Diagnostic Accuracy Study

Authors of this article:

Rado Kotorov1 Author Orcid Image ;   Lianhua Chi2 Author Orcid Image ;   Min Shen1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Jang Y, Sim J, Yang J, Kwon N. Improving heart rate variability information consistency in Doppler cardiogram using signal reconstruction system with deep learning for Contact-free heartbeat monitoring. Biomedical Signal Processing and Control 2022;76:103691 View
  2. Bhatia A, Kotorov R, Chi L. Casting plate defect detection using motif discovery with minimal model training and small data sets. Journal of Intelligent Manufacturing 2023;34(4):1731 View
  3. Ghorbani R, Reinders M, Tax D. Personalized anomaly detection in PPG data using representation learning and biometric identification. Biomedical Signal Processing and Control 2024;94:106216 View

Books/Policy Documents

  1. Bhatia A, Kotorov R, Chi L. Proceedings of the Fifteenth International Conference on Management Science and Engineering Management. View