{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T08:18:12Z","timestamp":1790410692334,"version":"4.1.0"},"reference-count":19,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2015,2,24]],"date-time":"2015-02-24T00:00:00Z","timestamp":1424736000000},"content-version":"vor","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Healthcare Tech Letters"],"published-print":{"date-parts":[[2015,2]]},"abstract":"<jats:p>\n                    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 \u2013\n                    <jats:italic>S<\/jats:italic>\n                    1 and\n                    <jats:italic>S<\/jats:italic>\n                    2 \u2013 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\n                    <jats:italic>S<\/jats:italic>\n                    1 and\n                    <jats:italic>S<\/jats:italic>\n                    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\u2010term wearable vital signs monitoring.\n                  <\/jats:p>","DOI":"10.1049\/htl.2014.0095","type":"journal-article","created":{"date-parts":[[2015,2,24]],"date-time":"2015-02-24T06:12:16Z","timestamp":1424758336000},"page":"28-33","source":"Crossref","is-referenced-by-count":21,"title":["Algorithm for heart rate extraction in a novel wearable acoustic sensor"],"prefix":"10.1049","volume":"2","author":[{"given":"Guangwei","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronic Engineering Imperial College London  London SW7 2AZ UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syed Anas","family":"Imtiaz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering Imperial College London  London SW7 2AZ UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eduardo","family":"Aguilar\u2013Pelaez","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering Imperial College London  London SW7 2AZ UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esther","family":"Rodriguez\u2013Villegas","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering Imperial College London  London SW7 2AZ UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"265","published-online":{"date-parts":[[2015,2,24]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MEMB.2005.1384105"},{"key":"e_1_2_6_3_1","doi-asserted-by":"crossref","unstructured":"Kumar D. 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