Open AccessAlgorithm for heart rate extraction in a novel wearable acoustic sensor
Author(s) -
Chen Guangwei,
Imtiaz Syed Anas,
Aguilar–Pelaez Eduardo,
Rodriguez–Villegas Esther
Publication year - 2015
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2014.0095
Subject(s) - heart sounds , heart rate , computer science , wearable computer , speech recognition , breathing , signal (programming language) , respiratory rate , bioacoustics , sound (geography) , acoustics , medicine , cardiology , blood pressure , embedded system , telecommunications , physics , programming language , anatomy
Phonocardiography is a widely used method of listening to the heart sounds and indicating the presence of cardiac abnormalities. Each heart cycle consists of two major sounds – S 1 and S 2 – that can be used to determine the heart rate. The conventional method of acoustic signal acquisition involves placing the sound sensor at the chest where this sound is most audible. Presented is a novel algorithm for the detection of S 1 and S 2 heart sounds and the use of them to extract the heart rate from signals acquired by a small sensor placed at the neck. This algorithm achieves an accuracy of 90.73 and 90.69%, with respect to heart rate value provided by two commercial devices, evaluated on more than 38 h of data acquired from ten different subjects during sleep in a pilot clinical study. This is the largest dataset for acoustic heart sound classification and heart rate extraction in the literature to date. The algorithm in this study used signals from a sensor designed to monitor breathing. This shows that the same sensor and signal can be used to monitor both breathing and heart rate, making it highly useful for long‐term wearable vital signs monitoring.