Article (Scientific journals)
A proof of concept study of acoustic sensing of lung recruitment during mechanical ventilation
Rodgers, G. W.; Lau Young, J. B.; Desaive, Thomas et al.
2017In Biomedical Signal Processing and Control, 32, p. 130-142
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Keywords :
Acoustic emissions; Acoustic monitoring; Biomedical systems; Frequency spectrum; Medical research; Medical systems; Patient testing; Signal analysis; Biological organs; Crack detection; Cracks; Health care; Intensive care units; Respiratory system; Structural analysis; Ventilation; Frequency spectra; Acoustic emission testing; Article
Abstract :
[en] Advancements in health technologies are crucial to support healthcare professionals, improve patient outcomes, and best utilize increasingly scarce and under-demand healthcare resources. This research presents an initial proof-of-concept study of simple, non-invasive monitoring techniques used in Mechanical Ventilation (MV), which is the primary therapy for Acute Respiratory Distress Syndrome (ARDS). The high levels of inter-patient variability seen in patients with ARDS have resulted in much speculation about the ideal method of determining ventilation settings, such as tidal volume (Vt) and Positive End Expiratory Pressure (PEEP). One of the oldest and simplest methods is acoustic sensing of recruitment and lung condition. This project involves using a digital recording stethoscope to monitor the acoustic output of patients in the Intensive Care Unit (ICU) during mechanical lung ventilation. During lung recruitment, ‘crackles’ can be heard within the chest cavity with a stethoscope. These crackles vary significantly, depending on the status of the patient's respiratory system and are used as an indicator of the level of alveolar recruitment. This preliminary, proof-of-concept study focused on crackle detection and involved gathering sound samples from patients in the Christchurch Hospital ICU with evidence of crackles in the chest cavity. Frequency based analysis showed that crackles can be detected as emissions with higher power levels between 100 and 300 Hz (subject to patient variability). The ability to non-invasively record, detect and quantify the intensity of crackles could provide immediate feedback to clinicians and, in the long term, aid in the optimization of ventilator therapy. © 2016 Elsevier Ltd
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Rodgers, G. W.;  Dept. of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
Lau Young, J. B.;  Dept. of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
Desaive, Thomas  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles
Shaw, G.M.
Chase, J. G.;  Dept. of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
Language :
English
Title :
A proof of concept study of acoustic sensing of lung recruitment during mechanical ventilation
Publication date :
2017
Journal title :
Biomedical Signal Processing and Control
ISSN :
1746-8094
eISSN :
1746-8108
Publisher :
Elsevier Ltd
Volume :
32
Pages :
130-142
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 16 April 2018

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