%0 Electronic Article %A Guangwei Chen %+ Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK %A Syed Anas Imtiaz %+ Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK %A Eduardo Aguilar–Pelaez %+ Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK %A Esther Rodriguez–Villegas %+ Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK %K commercial devices %K heart rate extraction algorithm %K S1 heart sound detection %K heart rate extraction %K long-term wearable vital signs monitoring %K acoustic heart sound classification %K heart sound listening %K dataset %K phonocardiography %K acoustic signal acquisition %K heart cycle %K signal acquisition %K cardiac abnormalities %K novel wearable acoustic sensor %K S2 heart sound detection %K data acquisition %K breathing monitoring %X 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 – S1 and S2 – 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 S1 and S2 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. %T Algorithm for heart rate extraction in a novel wearable acoustic sensor %B Healthcare Technology Letters %D February 2015 %V 2 %N 1 %P 28-33 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=3vvw5svfwvs9e.x-iet-live-01content/journals/10.1049/htl.2014.0095 %G EN