Kim Gibson1, Ali Al-Naji2,3, Julie Fleet4, Mary Steen4, Adrian Esterman4,5, Javaan Chahl3, Jasmine Huynh3, Scott Morris6,7. 1. University of South Australia, City East Campus, North Terrace, Adelaide, SA, 5000, Australia. Kim.gibson@unisa.edu.au. 2. Electrical Engineering Technical College, Middle Technical University, Al Doura, 10022, Baghdad, Iraq. 3. University of South Australia, Mawson Lakes Campus, Mawson Lakes Boulevard, Mawson Lakes, SA, 5095, Australia. 4. University of South Australia, City East Campus, North Terrace, Adelaide, SA, 5000, Australia. 5. James Cook University, McGregor Road, Smithfield, QLD, 4878, Australia. 6. Neonatal Unit, Flinders Medical Centre, Bedford Drive, Bedford Park, SA, 5042, Australia. 7. College of Medicine and Public Health, Flinders University, Sturt Road, Bedford Park, SA, 5042, Australia.
Abstract
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive electrodes of conventional electrocardiogram (ECG) to cause damage to the epidermis. This study was performed to evaluate the agreement between HR and RR measurements of preterm infants using a non-contact computer vision system with comparison to measurements obtained by the ECG. METHODS: A single-centre, cross-sectional observational study was conducted in a Neonatal Unit. Ten infants and their ECG monitors were videoed using two Nikon cameras for 10 min. HR and RR measurements obtained from the non-contact system were extracted using advanced signal processing techniques and later compared to the ECG readings using Bland-Altman analysis. RESULTS: The non-contact system was able to detect an apnoea when the ECG determined movement as respirations. Although the mean bias between both methods was relatively low, the limits of agreement for HR were -8.3 to 17.4 beats per minute (b.p.m.) and for RR, -22 to 23.6 respirations per minute (r.p.m.). CONCLUSIONS: This study provides necessary data for improving algorithms to address confounding variables common to the neonatal population. Further studies investigating the robustness of the proposed system for premature infants are therefore required.
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive electrodes of conventional electrocardiogram (ECG) to cause damage to the epidermis. This study was performed to evaluate the agreement between HR and RR measurements of preterm infants using a non-contact computer vision system with comparison to measurements obtained by the ECG. METHODS: A single-centre, cross-sectional observational study was conducted in a Neonatal Unit. Ten infants and their ECG monitors were videoed using two Nikon cameras for 10 min. HR and RR measurements obtained from the non-contact system were extracted using advanced signal processing techniques and later compared to the ECG readings using Bland-Altman analysis. RESULTS: The non-contact system was able to detect an apnoea when the ECG determined movement as respirations. Although the mean bias between both methods was relatively low, the limits of agreement for HR were -8.3 to 17.4 beats per minute (b.p.m.) and for RR, -22 to 23.6 respirations per minute (r.p.m.). CONCLUSIONS: This study provides necessary data for improving algorithms to address confounding variables common to the neonatal population. Further studies investigating the robustness of the proposed system for premature infants are therefore required.
Authors: Valeria Ottaviani; Chiara Veneroni; Raffaele L Dellaca'; Anna Lavizzari; Fabio Mosca; Emanuela Zannin Journal: IEEE J Transl Eng Health Med Date: 2022-03-21