Camera-Based Heart Rate Variability for Estimating the Maturity of Neonatal Autonomic Nervous System

Chuchu Liao1; Yongshen Zeng1; Chengyifeng Tan1; Dongfang Yu; Xiaoyan Song2; Liping Pan3; Chunxia He4; Yanrong Wang3; Jie Yang2; Hongzhou Lu3; Jiansong Ji4; Wenjin Wang1

2024

10.1109/JIOT.2024.3439524

IEEE Internet of Things Journal   影响因子和分区

2372-2541

Heart rate variability (HRV) can be used as an effective indicator for the maturity of the neonatal autonomic nervous system (ANS) and some acute neonatal diseases (e.g. respiratory distress syndrome, late-onset sepsis). Advances in contactless sensing technology have led to the rapid development of camera-based physiological monitoring, but few studies have focused on HRV measurement in the Neonatal Intensive Care Unit. This study aims to evaluate the performance of camera-based neonatal HRV monitoring (camera-HRV) using camera–photoplethysmography, and to further investigate the feasibility of applying camera-HRV for tracking ANS maturation through quantitative analysis of 12 HRV indices on quiet infants with limited motions. The clinical experimental results show that as the ANS of newborns matures, the trends of camera-HRV indices are consistent with those obtained by electrocardiogram (ECG) and photoplethysmography (PPG). Furthermore, the performance of camera-HRV in predicting the postmenstrual age of newborns is comparable to that obtained by ECG and PPG, which can predict 63.89% of infants with an accuracy of less than ± 2 weeks. In particular, camera-HRV shows excellent performance in the classification of preterm/term infants, with an optimal accuracy of 0.90 and an F1 score of 0.88. The pilot clinical study suggests that camera-HRV can be a feasible tool for tracking the development of neonatal ANS.

EI

第一

1.Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
2.Neonatal Intensive Care Unit, Nanfang Hospital of Southern Medical University, Guangzhou, China
3.Neonatal Intensive Care Unit, Shenzhen Third People’s Hospital, Shenzhen, China
4.Neonatal Intensive Care Unit, Lishui Central Hospital, Lishui, China

Chuchu Liao,Yongshen Zeng,Chengyifeng Tan,et al. Camera-Based Heart Rate Variability for Estimating the Maturity of Neonatal Autonomic Nervous System[J]. IEEE Internet of Things Journal,2024,PP(99).

Chuchu Liao.,Yongshen Zeng.,Chengyifeng Tan.,Dongfang Yu.,Xiaoyan Song.,...&Wenjin Wang.(2024).Camera-Based Heart Rate Variability for Estimating the Maturity of Neonatal Autonomic Nervous System.IEEE Internet of Things Journal,PP(99).

Chuchu Liao,et al."Camera-Based Heart Rate Variability for Estimating the Maturity of Neonatal Autonomic Nervous System".IEEE Internet of Things Journal PP.99(2024).