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TRV-2026-1024Certified recordPeer-reviewed

Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review

Background Neonatal heart rate (HR) is an important parameter in the evaluation of newborn health and viability in the immediate postnatal period. Aim To evaluate the accuracy, reliability, and clinical applicability of emerging non-contact and artificial intelligence (AI)-assisted HR monitoring technologies in neonates compared to conventional electrocardiography (ECG)-based systems. Methods A comprehensive literature search was conducted across PubMed, EMBASE, Google Scholar, and Cochrane databases from Januar…

Health · The Trace — both readings · certified 2026-09-09 · v1 · article view · machine-readable

Current reading — gain

AI-assisted non-contact heart rate monitoring provides accurate, safe, and efficient neonatal assessment with strong correlation to ECG and rapid signal acquisition.

Current reading — problem

Accuracy and clinical utility of AI-assisted non-contact neonatal heart rate monitoring remain unvalidated for routine implementation pending future multicenter studies.

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Truvace Impact Record TRV-2026-1024, v1: “Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review.” Truvace, 2026-09-09. /record/TRV-2026-1024 (accessed at citation time). sha256 14c5d00e8b3de33a…

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