Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding: a comparative feasibility study

Rohan Joshi (Corresponding author), Bart Bierling, Loe Feijs, Carola van Pul, Peter Andriessen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin, film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigate the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compare the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature – the signal instability index – had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive and has high performance in clinical settings.
LanguageEnglish
Article number045003
Number of pages8
JournalPhysiological Measurement
Volume40
Issue number4
Early online date3 Apr 2019
DOIs
StatePublished - 29 Apr 2019

Fingerprint

Ultrathin films
Feasibility Studies
Respiratory Rate
Premature Infants
Monitoring
Sensors
Video recording
Video Recording
Apnea
Electrocardiography
Electric Impedance
Artifacts
Deterioration
Noise
Sepsis
Seizures
Thorax
Biomarkers
Thin films

Cite this

@article{e73e1f49409b47e9ae953a2a90ac8c50,
title = "Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding: a comparative feasibility study",
abstract = "Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin, film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigate the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compare the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature – the signal instability index – had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive and has high performance in clinical settings.",
author = "Rohan Joshi and Bart Bierling and Loe Feijs and {van Pul}, Carola and Peter Andriessen",
note = "{\circledC} 2018 Institute of Physics and Engineering in Medicine.",
year = "2019",
month = "4",
day = "29",
doi = "10.1088/1361-6579/ab1595",
language = "English",
volume = "40",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "Institute of Physics",
number = "4",

}

Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding : a comparative feasibility study. / Joshi, Rohan (Corresponding author); Bierling, Bart; Feijs, Loe; van Pul, Carola; Andriessen, Peter.

In: Physiological Measurement, Vol. 40, No. 4, 045003, 29.04.2019.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Monitoring the respiratory rate of preterm infants using an ultrathin film sensor embedded in the bedding

T2 - Physiological Measurement

AU - Joshi,Rohan

AU - Bierling,Bart

AU - Feijs,Loe

AU - van Pul,Carola

AU - Andriessen,Peter

N1 - © 2018 Institute of Physics and Engineering in Medicine.

PY - 2019/4/29

Y1 - 2019/4/29

N2 - Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin, film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigate the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compare the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature – the signal instability index – had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive and has high performance in clinical settings.

AB - Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin, film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigate the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compare the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature – the signal instability index – had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive and has high performance in clinical settings.

U2 - 10.1088/1361-6579/ab1595

DO - 10.1088/1361-6579/ab1595

M3 - Article

VL - 40

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 4

M1 - 045003

ER -