Open AccessHeart rate estimation by iterative Fourier interpolation algorithm
Author(s) -
Wei Zheng,
Dechang Chen,
Xueyun Wei,
Hongxing Liu
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2014.3086
Subject(s) - heartbeat , interpolation (computer graphics) , frequency domain , algorithm , fourier transform , computer science , signal (programming language) , fundamental frequency , fast fourier transform , mathematics , artificial intelligence , acoustics , computer vision , physics , motion (physics) , mathematical analysis , computer security , programming language
A new method of estimating the heart rate (HR) from electrocardiogram (ECG) signals, which accurately estimates the fundamental frequency of the heartbeat using the iterative Fourier interpolation algorithm, is presented. This frequency‐domain method has two advantages: (i) the Fourier interpolation algorithm could improve the estimation precision of the heartbeat fundamental frequency significantly without increasing the recording signal length, which could monitor the HR variability; (ii) the heartbeat fundamental frequency is low, usually between 1 and 2 Hz; thus, the required ECG recording can be acquired at a low sampling frequency, such as 20–30 Hz, in which the conventional R‐wave detection HR estimation method fails.