A Comparative Evaluation of Atrial Fibrillation Detection Methods in Koreans Based on Optical Recordings Using a Smartphone

A Comparative Evaluation of Atrial Fibrillation Detection Methods in Koreans Based on Optical Recordings Using a Smartphone

This paper evaluated three methods of atrial fibrillation (AF) detection in Korean patients using 149 records of photoplethysmography signals from 148 participants: the k-nearest neighbor (kNN), neural network (NN), and support vector machine (SVM) methods. The 149 records are preprocessed to calcul...

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Bibliographic Details
Main Authors: Keonsoo Lee, Hyung Oh Choi, Se Dong Min, Jinseok Lee, Brij B. Gupta, Yunyoung Nam
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Arrhythmia
atrial fibrillation
machine learning
photoplethysmography
smartphone
Online Access:https://ieeexplore.ieee.org/document/7917244/

Internet

https://ieeexplore.ieee.org/document/7917244/

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