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

New Methods (1134) Machine Learning (2076) Artificial Intelligence (2129) Novel Sensors and Data Acquisition Methods in Cardiology (225) Outbreak and Pandemic Preparedness and Management (1826) Wearable Devices and Sensors (1133)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76613, first published .
Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring Component

Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring Component

Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring Component

Authors of this article:

Carlos Alberto Sanches1 Author Orcid Image ;   Andre Felipe Henriques Librantz1 Author Orcid Image ;   Luciana Maria Malosá Sampaio2 Author Orcid Image ;   Peterson Adriano Belan1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Carlos Alberto Sanches   1 , PhD ;   Andre Felipe Henriques Librantz   1 , PhD ;   Luciana Maria Malosá Sampaio   2 , PhD ;   Peterson Adriano Belan   1 , PhD

1 Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil

2 Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho, São Paulo, Brazil

Corresponding Author:

  • Carlos Alberto Sanches, PhD
  • Informatics and Knowledge Management Graduate Program
  • Universidade Nove de Julho
  • Rua Vergueiro, 235/249 - Liberdade
  • São Paulo 01525-000
  • Brazil
  • Phone: 55 11 2633-9000
  • Email: sanches.pub@gmail.com