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

mHealth in a Clinical Setting (615) Cardiac Arrhythmia, Atrial Fibrillation (84) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 6, No 5 (2018): May

Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector

Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector

Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector

Authors of this article:

Vadim Gliner1 Author Orcid Image ;   Joachim Behar1 Author Orcid Image ;   Yael Yaniv1 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Journals

  1. Gliner V, Yaniv Y. An SVM approach for identifying atrial fibrillation. Physiological Measurement 2018;39(9):094007 View
  2. Druce K, Dixon W, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159 View
  3. Raj S, Ray K, Shankar O. Development of robust, fast and efficient QRS complex detector: a methodological review. Australasian Physical & Engineering Sciences in Medicine 2018;41(3):581 View
  4. Krittanawong C, Rogers A, Johnson K, Wang Z, Turakhia M, Halperin J, Narayan S. Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management. Nature Reviews Cardiology 2021;18(2):75 View
  5. Ali S, Kim S, Kim Y. Towards Reliable ECG Analysis: Addressing Validation Gaps in the Electrocardiographic R-Peak Detection. Applied Sciences 2024;14(21):10078 View