Why the study?
Does the iterative Fourier interpolation algorithm improve heart rate estimation from ECG signals compared to conventional R-wave detection?
Does the iterative Fourier interpolation algorithm improve heart rate estimation from ECG signals compared to conventional R-wave detection?
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The iterative Fourier interpolation algorithm offers a frequency-domain method for accurate heart rate estimation even at low sampling frequencies where traditional R-wave detection is ineffective.
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.
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Zheng Wei (2014) studied this question.
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