Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 07.05.15 in Vol 3, No 2 (2015): April-June

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

Works citing "A Telesurveillance System With Automatic Electrocardiogram Interpretation Based on Support Vector Machine and Rule-Based Processing"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.4397):

(note that this is only a small subset of citations)

  1. Jeon E, Oh K, Kwon S, Son H, Yun Y, Jung E, Kim MS. A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study. JMIR Medical Informatics 2020;8(3):e17037
  2. Nguyen T, Qin X, Dinh A, Bui F. Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter. Sensors 2019;19(18):3997
  3. Zarinabad N, Meeus EM, Manias K, Foster K, Peet A. Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis. JMIR Medical Informatics 2018;6(2):e30
  4. Chen Y, Hung C, Huang C, Hung Y, Hwang J, Ho Y. Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study. JMIR mHealth and uHealth 2017;5(9):e135