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

2019 ◽  
Vol 40 (4) ◽  
pp. 045003 ◽  
Author(s):  
Rohan Joshi ◽  
Bart Bierling ◽  
Loe Feijs ◽  
Carola van Pul ◽  
Peter Andriessen
2016 ◽  
Vol 103 (6) ◽  
pp. 603-605 ◽  
Author(s):  
Paul Seddon ◽  
Sonia Sobowiec-Kouman ◽  
David Wertheim

Respiratory rate (RR) is a valuable early marker of illness in vulnerable infants, but current monitoring methods are unsuitable for sustained home use. We have demonstrated accurate measurement of RR from brief recordings of pulse oximeter plethysmogram (pleth) trace in full-term neonates in hospital. This study assessed the feasibility of this method in preterm infants during overnight recordings in the home. We collected simultaneous overnight SpO2, pleth and respiratory inductive plethysmography (RIP) on 24 preterm infants in the home. RR from pleth analysis was compared with RR from RIP bands; pleth quality was assessed by the presence of visible artefact. Median (range) RR from RIP and pleth were not significantly different at 42 (25–65) and 42 (25–64) breaths/min. Median (range) % of epochs rejected due to artefact was 20 (8–75) for pleth and 10 (3–53) for RIP. Our results suggest that home RR monitoring by pulse oximeter pleth signal is accurate and feasible.


PEDIATRICS ◽  
1984 ◽  
Vol 74 (4) ◽  
pp. 539-542
Author(s):  
Roberto Paludetto ◽  
Steven S. Robertson ◽  
Maureen Hack ◽  
Chandra R. Shivpuri ◽  
Richard J. Martin

The effects of nonnutritive sucking on transcutaneous oxygen tension, heart rate, and respiratory rate were studied sequentially in 14 sleeping preterm infants breathing room air. Transcutaneous oxygen tension increased during nonnutritive sucking in infants between 32 and 35 weeks postconceptional age, but not in those between 36 and 39 weeks. This response was not associated with a change in respiratory rate or sleep state, although heart rate tended to increase. These data offer further support for the beneficial effects of nonnutritive sucking in preterm infants.


2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mauricio Villarroel ◽  
Sitthichok Chaichulee ◽  
João Jorge ◽  
Sara Davis ◽  
Gabrielle Green ◽  
...  

AbstractThe implementation of video-based non-contact technologies to monitor the vital signs of preterm infants in the hospital presents several challenges, such as the detection of the presence or the absence of a patient in the video frame, robustness to changes in lighting conditions, automated identification of suitable time periods and regions of interest from which vital signs can be estimated. We carried out a clinical study to evaluate the accuracy and the proportion of time that heart rate and respiratory rate can be estimated from preterm infants using only a video camera in a clinical environment, without interfering with regular patient care. A total of 426.6 h of video and reference vital signs were recorded for 90 sessions from 30 preterm infants in the Neonatal Intensive Care Unit (NICU) of the John Radcliffe Hospital in Oxford. Each preterm infant was recorded under regular ambient light during daytime for up to four consecutive days. We developed multi-task deep learning algorithms to automatically segment skin areas and to estimate vital signs only when the infant was present in the field of view of the video camera and no clinical interventions were undertaken. We propose signal quality assessment algorithms for both heart rate and respiratory rate to discriminate between clinically acceptable and noisy signals. The mean absolute error between the reference and camera-derived heart rates was 2.3 beats/min for over 76% of the time for which the reference and camera data were valid. The mean absolute error between the reference and camera-derived respiratory rate was 3.5 breaths/min for over 82% of the time. Accurate estimates of heart rate and respiratory rate could be derived for at least 90% of the time, if gaps of up to 30 seconds with no estimates were allowed.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Oliver Perra ◽  
Sam Wass ◽  
Alison McNulty ◽  
David Sweet ◽  
Kostas Papageorgiou ◽  
...  

2012 ◽  
Vol 161 (1) ◽  
pp. 65-69.e1 ◽  
Author(s):  
Beau J. Batton ◽  
Lei Li ◽  
Nancy S. Newman ◽  
Abhik Das ◽  
Kristi L. Watterberg ◽  
...  

Author(s):  
JUYOUNG LEE ◽  
Vilhelmiina Parikka ◽  
Liisa Lehtonen ◽  
Hanna Soukka

Objective: To analyze the proportion of backup ventilation during neurally adjusted ventilatory assist (NAVA) in preterm infants at different gestational ages and to analyze the trends in backup ventilation in relation to clinical deteriorations. Methods: A prospective observational study was conducted in 18 preterm infants born at a median (range) 27 (23–34) weeks of gestation with a median (range) birth weight of 1,100 (460–2,820) g, who received respiratory support with either invasive or noninvasive NAVA. Data on ventilator settings and respiratory variables were collected daily; the mean values of each 24-hour recording were computed for each respiratory variable. For clinical deterioration, ventilator data were reviewed at 6-hour intervals for 30 hours prior to the event. Results: A total of 354 ventilator days were included: 269 and 85 days during invasive and noninvasive NAVA, respectively. The time on backup ventilation (%/min) significantly decreased, and the neural respiratory rate increased with increasing postmenstrual age during both invasive and noninvasive NAVA. The median time on backup ventilation was less than 15%/min, and the median neural respiratory rate was more than 45 breaths/min for infants above 26 weeks of gestation during invasive NAVA. The relative backup ventilation significantly increased prior to the episode of clinical deterioration. Conclusion: The proportion of backup ventilation during NAVA showed how the control of breathing matured with increasing gestational age. Even the most immature infants triggered most of their breaths by their own respiratory effort. An acute increase in the proportion of backup ventilation anticipated clinical deterioration.


10.2196/13400 ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. e13400 ◽  
Author(s):  
Kim Gibson ◽  
Ali Al-Naji ◽  
Julie-Anne Fleet ◽  
Mary Steen ◽  
Javaan Chahl ◽  
...  

Background Biomedical research in the application of noncontact methods to measure heart rate (HR) and respiratory rate (RR) in the neonatal population has produced mixed results. This paper describes and discusses a protocol for conducting a method comparison study, which aims to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead electrocardiogram (ECG) in preterm infants in the neonatal unit. Objective The aim of this preliminary study is to determine the accuracy of a proposed noncontact computer vision system to detect HR and RR relative to the HR and RR obtained by 3-lead ECG in preterm infants in the neonatal unit. Methods A single-center cross-sectional study was planned to be conducted in the neonatal unit at Flinders Medical Centre, South Australia, in May 2018. A total of 10 neonates and their ECG monitors will be filmed concurrently for 10 min using digital cameras. Advanced image processing techniques are to be applied later to determine their physiological data at 3 intervals. These data will then be compared with the ECG readings at the same points in time. Results Study enrolment began in May 2018. Results of this study were published in July 2019. Conclusions The study will analyze the data obtained by the noncontact system in comparison to data obtained by ECG, identify factors that may influence data extraction and accuracy when filming infants, and provide recommendations for how this noncontact system may be implemented into clinical applications. International Registered Report Identifier (IRRID) RR1-10.2196/13400


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Oliver Perra ◽  
Sam Wass ◽  
Alison McNulty ◽  
David Sweet ◽  
Kostas A. Papageorgiou ◽  
...  

An amendment to this paper has been published and can be accessed via the original article.


Sign in / Sign up

Export Citation Format

Share Document