Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Accurate heart rate estimation is a fundamental process when analysing phonocardiograms (PCGs). While this is trivial in noise-free recordings, it becomes a difficult task in PCGs corrupted by various noise sources. While numerous PCG-based heart rate estimation techniques have been explored in the literature, no comparison between these techniques has been performed to identify the best-performing method in noisy recordings. This paper evaluates various denoising, normalisation, envelope extraction and heart rate estimation techniques on 585 noisy recordings made using four different devices. The best-performing algorithm correctly estimated the heart rate in 471 (80.5%) of these PCGs, while correctly estimating the heart rate in 86% of the PCGS from a separate (publicly available) test dataset.


Conference paper

Publication Date





613 - 616