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A method for extracting respiratory frequency during blood pressure measurement, from oscillometric cuff pressure pulses and Korotkoff sounds recorded during the measurement

Lookup NU author(s): Emeritus Professor Alan MurrayORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2016.

For re-use rights please refer to the publisher's terms and conditions.


© 2016 IEEE. Respiratory frequency is an important physiological feature commonly used to assess health. However, the current measurements involve dedicated devices which not only increase the medical cost but also make health monitoring inconvenient. Earlier studies have shown that respiratory frequency could be extracted from electrocardiography (ECG) signal, but little was done to assess the possibility of extracting respiratory frequency from oscillometric cuff pressure pulses (OscP) or Korotkoff sounds (KorS), which are normally used for measuring blood pressure and more easily accessible than the ECG signal. This study presented a method to extract respiratory frequency from OscP and KorS during clinical blood pressure measurement. The method was evaluated with clinical data collected from 15 healthy participants, and its measurement accuracy was compared with a reference respiratory rate obtained with a magnetometer. Experimental results showed small non-significant mean absolute bias (0.019 Hz for OscP and 0.024 Hz for KorS) and high correlation (0.7 for both OscP and KorS) between the reference respiratory frequency and respiratory frequency extracted from OscP or KorS, indicating the high reliability of extracting respiratory frequency from OscP and KorS during normal blood pressure measurement.

Publication metadata

Author(s): Chen D, Chen F, Murray A, Zheng D

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2016)

Year of Conference: 2016

Pages: 4268-4271

Print publication date: 01/10/2016

Online publication date: 18/11/2016

Acceptance date: 02/04/2016

Date deposited: 22/05/2017

ISSN: 1557-170X

Publisher: IEEE


DOI: 10.1109/EMBC.2016.7591670

Library holdings: Search Newcastle University Library for this item

ISBN: 9781457702204