Literature DB >> 11086254

A bioacoustic method for timing of the different phases of the breathing cycle and monitoring of breathing frequency.

P Hult1, B Wranne, P Ask.   

Abstract

It is well known that the flow of air through the trachea during respiration causes vibrations in the tissue near the trachea, which propagate to the surface of the body and can be picked up by a microphone placed on the throat over the trachea. Since the vibrations are a direct result of the airflow, accurate timing of inspiration and expiration is possible. This paper presents a signal analysis solution for automated monitoring of breathing and calculation of the breathing frequency. The signal analysis approach uses tracheal sound variables in the time and frequency domains, as well as the characteristics of the disturbances that can be used to discriminate tracheal sound from noise. One problem associated with the bioacoustic method is its sensitivity for acoustic disturbances, because the microphone tends to pick up all vibrations, independent of their origin. A signal processing method was developed that makes the bioacoustic method clinically useful in a broad variety of situations, for example in intensive care and during certain heart examinations, where information about both the precise timing and the phases of breathing is crucial.

Mesh:

Year:  2000        PMID: 11086254     DOI: 10.1016/s1350-4533(00)00050-3

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  6 in total

1.  Acoustic breath-phase detection using tracheal breath sounds.

Authors:  Saiful Huq; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2012-02-24       Impact factor: 2.602

2.  Monitoring of breathing phases using a bioacoustic method in healthy awake subjects.

Authors:  Hisham Alshaer; Geoffrey R Fernie; T Douglas Bradley
Journal:  J Clin Monit Comput       Date:  2011-09-29       Impact factor: 2.502

3.  A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data.

Authors:  Kamal Jafarian; Majid Amineslami; Kamran Hassani; Mahdi Navidbakhsh; Mohammad Niakan Lahiji; D John Doyle
Journal:  J Clin Monit Comput       Date:  2015-04-14       Impact factor: 2.502

4.  New tracheal sound feature for apnoea analysis.

Authors:  A Kulkas; E Huupponen; J Virkkala; M Tenhunen; A Saastamoinen; E Rauhala; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2009-02-11       Impact factor: 2.602

5.  Soft stethoscope for detecting asthma wheeze in young children.

Authors:  Chun Yu; Tzu-Hsiu Tsai; Shi-Ing Huang; Chii-Wann Lin
Journal:  Sensors (Basel)       Date:  2013-06-06       Impact factor: 3.576

6.  Detecting unilateral phrenic paralysis by acoustic respiratory analysis.

Authors:  José Antonio Fiz; Raimon Jané; Manuel Lozano; Rosa Gómez; Juan Ruiz
Journal:  PLoS One       Date:  2014-04-09       Impact factor: 3.240

  6 in total

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