Algorithm for heart rate extraction in a novel wearable acoustic sensor.

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Title: Algorithm for heart rate extraction in a novel wearable acoustic sensor.
Author(s): Chen, G
Imtiaz, SA
Aguilar-Pelaez, E
Rodriguez-Villegas, E
Item Type: Journal Article
Abstract: 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.
Publication Date: 24-Feb-2015
Date of Acceptance: 20-Jan-2015
URI: http://hdl.handle.net/10044/1/38949
DOI: https://dx.doi.org/10.1049/htl.2014.0095
ISSN: 2053-3713
Publisher: IET
Start Page: 28
End Page: 33
Journal / Book Title: Healthcare Technology Letters
Volume: 2
Issue: 1
Copyright Statement: This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons. org/licenses/by/3.0/)
Keywords: S1 heart sound detection
S2 heart sound detection
acoustic heart sound classification
acoustic signal acquisition
acoustic signal processing
acoustic transducers
biomedical transducers
body sensor networks
breathing monitoring
cardiac abnormalities
commercial devices
data acquisition
dataset
feature extraction
heart cycle
heart rate extraction
heart rate extraction algorithm
heart sound listening
long-term wearable vital signs monitoring
medical signal processing
novel wearable acoustic sensor
patient monitoring
phonocardiography
pneumodynamics
signal acquisition
signal classification
S1 heart sound detection
S2 heart sound detection
acoustic heart sound classification
acoustic signal acquisition
acoustic signal processing
acoustic transducers
biomedical transducers
body sensor networks
breathing monitoring
cardiac abnormalities
commercial devices
data acquisition
dataset
feature extraction
heart cycle
heart rate extraction
heart rate extraction algorithm
heart sound listening
long-term wearable vital signs monitoring
medical signal processing
novel wearable acoustic sensor
patient monitoring
phonocardiography
pneumodynamics
signal acquisition
signal classification
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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