A machine learning method for automatic detection and classification of patient-ventilator asynchrony

T. H.G.F. Bakkes, R.J.H. Montree, M. Mischi, F. Mojoli, S. Turco

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Patients suffering from respiratory failure are often put on assisted mechanical ventilation. Patient-ventilator asynchrony (PVA) can occur during mechanical ventilation, which cause damage to the lungs and has been linked to increased mortality in the intensive care unit. In current clinical practice PVA is still detected using visual inspection of the air pressure, flow, and volume curves, which is time-consuming and sensitive to subjective interpretation. Correct detection of the patient respiratory efforts is needed to properly asses the type of asynchrony. Therefore, we propose a method for automatic detection of the patient respiratory efforts using a one-dimensional convolution neural network. The proposed method was able to detect patient efforts with a sensitivity and precision of 98.6% and 97.3% for the inspiratory efforts, and 97.7% and 97.2% for the expiratory efforts. Besides allowing detection of PVA, combining the estimated timestamps of patient's inspiratory and expiratory efforts with the timings of the mechanical ventilator further allows for classification of the asynchrony type. In the future, the proposed method could support clinical decision making by informing clinicians on the quality of ventilation and providing actionable feedback for properly adjusting the ventilator settings.

Originele taal-2Engels
Titel42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
SubtitelEnabling Innovative Technologies for Global Healthcare, EMBC 2020
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's150-153
Aantal pagina's4
ISBN van elektronische versie9781728119908
DOI's
StatusGepubliceerd - jul 2020
Evenement42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
Duur: 20 jul 202024 jul 2020

Congres

Congres42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
LandCanada
StadMontreal
Periode20/07/2024/07/20

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