Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants

• Published in: Sensors (Basel, Switzerland) Switzerland), 2022-11, Vol.22 (23), p.9140
• Main Authors: Aguilar-Rivera, Marcelo, Kable, Julie A, Yevtushok, Lyubov, Kulikovsky, Yaroslav, Zymak-Zakutnya, Natalya, Dubchak, Iryna, Akhmedzhanova, Diana, Wertelecki, Wladimir, Chambers, Christina, Coleman, Todd P
• Format: Article
• Language: English
• Subjects: Acoustics; Algorithms; Applications programs; auditory and visual stimuli; Babies; Brain; cardiac orienting response; Child; Communication; Data recording; Delay; Electrocardiogram; Electrocardiography; Electrocardiography - methods; Fetal alcohol syndrome; Heart rate; Heart Rate - physiology; Humans; Infant; Infants; Mobile Applications; Mobile communications networks; monitoring; neurodevelopment delay; Neurophysiology; Public health; Recognition; Sensors; Software; wireless sensor; Wireless Technology
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22239140

Early identification of infants at risk of neurodevelopmental delay is an essential public health aim. Such a diagnosis allows early interventions for infants that maximally take advantage of the neural plasticity in the developing brain. Using standardized physiological developmental tests, such as the assessment of neurophysiological response to environmental events using cardiac orienting responses (CORs), is a promising and effective approach for early recognition of neurodevelopmental delay. Previous CORs have been collected on children using large bulky equipment that would not be feasible for widespread screening in routine clinical visits. We developed a portable wireless electrocardiogram (ECG) system along with a custom application for IOS tablets that, in tandem, can extract CORs with sufficient physiologic and timing accuracy to reflect the well-characterized ECG response to both auditory and visual stimuli. The sensor described here serves as an initial step in determining the extent to which COR tools are cost-effective for the early screening of children to determine who is at risk of developing neurocognitive deficits and may benefit from early interventions. We demonstrated that our approach, based on a wireless heartbeat sensor system and a custom mobile application for stimulus display and data recording, is sufficient to capture CORs from infants. The COR monitoring approach described here with mobile technology is an example of a desired standardized physiologic assessment that is a cost-and-time efficient, scalable method for early recognition of neurodevelopmental delay.