Real-time chest-wall-motion tracking by a single optical fibre grating: a prospective method for ventilator triggering

M D Ivanović, J Petrovic, A Savić, G Gligorić, M Miletić, M Vukčević, B Bojović, Lj Hadžievski, T Allsop, D J Webb

Research output: Contribution to journalArticle

Abstract

Objective: The ventilators involved in non-invasive mechanical ventilation commonly provide ventilator support via a facemask. The interface of the mask with a patient promotes air leaks that cause errors in the feedback information provided by a pneumatic sensor and hence patient-ventilator asynchrony with multiple negative consequences. Our objective is to test the possibility of using chest-wall motion measured by an optical fibre-grating sensor as a more accurate non-invasive ventilator triggering mechanism. Approach: The basic premise of our approach is that the measurement accuracy can be improved by using a triggering signal that precedes pneumatic triggering in the neuro-ventilatory coupling sequence. We propose a technique that uses the measurement of chest-wall curvature by a long-period fibre-grating sensor. The sensor was applied externally to the rib-cage and interrogated in the lateral (edge) filtering scheme. The study was performed on 34 healthy volunteers. Statistical data analysis of the time lag between the fibre-grating sensor and the reference pneumotachograph was preceded by the removal of the unwanted heartbeat signal by wavelet transform processing. Main results: The results show a consistent fibre-grating signal advance with respect to the standard pneumatic signal by (230  ±  100) ms in both the inspiratory and expiratory phases. We further show that heart activity removal yields a tremendous improvement in sensor accuracy by reducing it from 60 ml to 0.3 ml. Significance: The results indicate that the proposed measurement technique may lead to a more reliable triggering decision. Its imperviousness to air leaks, non-invasiveness, low-cost and ease of implementation offer good prospects for applications in both clinical and homecare ventilation.
Original languageEnglish
Article number045009
JournalPhysiological Measurement
Volume39
Issue number4
DOIs
Publication statusPublished - 26 Apr 2018

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Optical Fibers
Thoracic Wall
Mechanical Ventilators
Optical fibers
Wavelet Analysis
Sensors
Pneumatics
Air
Noninvasive Ventilation
Statistical Data Interpretation
Fibers
Masks
Artificial Respiration
Ventilation
Healthy Volunteers
Costs and Cost Analysis
Wavelet transforms
Feedback
Processing
Costs

Bibliographical note

©2018 IOP Publishing Ltd. M D Ivanović et al 2018 Physiol. Meas. 39 045009

Cite this

Ivanović, M D ; Petrovic, J ; Savić, A ; Gligorić, G ; Miletić, M ; Vukčević, M ; Bojović, B ; Hadžievski, Lj ; Allsop, T ; Webb, D J. / Real-time chest-wall-motion tracking by a single optical fibre grating : a prospective method for ventilator triggering. In: Physiological Measurement. 2018 ; Vol. 39, No. 4.
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Ivanović, MD, Petrovic, J, Savić, A, Gligorić, G, Miletić, M, Vukčević, M, Bojović, B, Hadžievski, L, Allsop, T & Webb, DJ 2018, 'Real-time chest-wall-motion tracking by a single optical fibre grating: a prospective method for ventilator triggering', Physiological Measurement, vol. 39, no. 4, 045009. https://doi.org/10.1088/1361-6579/aab7ac

Real-time chest-wall-motion tracking by a single optical fibre grating : a prospective method for ventilator triggering. / Ivanović, M D; Petrovic, J; Savić, A; Gligorić, G; Miletić, M; Vukčević, M; Bojović, B; Hadžievski, Lj; Allsop, T; Webb, D J.

In: Physiological Measurement, Vol. 39, No. 4, 045009, 26.04.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Real-time chest-wall-motion tracking by a single optical fibre grating

T2 - a prospective method for ventilator triggering

AU - Ivanović, M D

AU - Petrovic, J

AU - Savić, A

AU - Gligorić, G

AU - Miletić, M

AU - Vukčević, M

AU - Bojović, B

AU - Hadžievski, Lj

AU - Allsop, T

AU - Webb, D J

N1 - ©2018 IOP Publishing Ltd. M D Ivanović et al 2018 Physiol. Meas. 39 045009

PY - 2018/4/26

Y1 - 2018/4/26

N2 - Objective: The ventilators involved in non-invasive mechanical ventilation commonly provide ventilator support via a facemask. The interface of the mask with a patient promotes air leaks that cause errors in the feedback information provided by a pneumatic sensor and hence patient-ventilator asynchrony with multiple negative consequences. Our objective is to test the possibility of using chest-wall motion measured by an optical fibre-grating sensor as a more accurate non-invasive ventilator triggering mechanism. Approach: The basic premise of our approach is that the measurement accuracy can be improved by using a triggering signal that precedes pneumatic triggering in the neuro-ventilatory coupling sequence. We propose a technique that uses the measurement of chest-wall curvature by a long-period fibre-grating sensor. The sensor was applied externally to the rib-cage and interrogated in the lateral (edge) filtering scheme. The study was performed on 34 healthy volunteers. Statistical data analysis of the time lag between the fibre-grating sensor and the reference pneumotachograph was preceded by the removal of the unwanted heartbeat signal by wavelet transform processing. Main results: The results show a consistent fibre-grating signal advance with respect to the standard pneumatic signal by (230  ±  100) ms in both the inspiratory and expiratory phases. We further show that heart activity removal yields a tremendous improvement in sensor accuracy by reducing it from 60 ml to 0.3 ml. Significance: The results indicate that the proposed measurement technique may lead to a more reliable triggering decision. Its imperviousness to air leaks, non-invasiveness, low-cost and ease of implementation offer good prospects for applications in both clinical and homecare ventilation.

AB - Objective: The ventilators involved in non-invasive mechanical ventilation commonly provide ventilator support via a facemask. The interface of the mask with a patient promotes air leaks that cause errors in the feedback information provided by a pneumatic sensor and hence patient-ventilator asynchrony with multiple negative consequences. Our objective is to test the possibility of using chest-wall motion measured by an optical fibre-grating sensor as a more accurate non-invasive ventilator triggering mechanism. Approach: The basic premise of our approach is that the measurement accuracy can be improved by using a triggering signal that precedes pneumatic triggering in the neuro-ventilatory coupling sequence. We propose a technique that uses the measurement of chest-wall curvature by a long-period fibre-grating sensor. The sensor was applied externally to the rib-cage and interrogated in the lateral (edge) filtering scheme. The study was performed on 34 healthy volunteers. Statistical data analysis of the time lag between the fibre-grating sensor and the reference pneumotachograph was preceded by the removal of the unwanted heartbeat signal by wavelet transform processing. Main results: The results show a consistent fibre-grating signal advance with respect to the standard pneumatic signal by (230  ±  100) ms in both the inspiratory and expiratory phases. We further show that heart activity removal yields a tremendous improvement in sensor accuracy by reducing it from 60 ml to 0.3 ml. Significance: The results indicate that the proposed measurement technique may lead to a more reliable triggering decision. Its imperviousness to air leaks, non-invasiveness, low-cost and ease of implementation offer good prospects for applications in both clinical and homecare ventilation.

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