VideoPulse: Neonatal heart rate and peripheral capillary oxygen saturation (SpO2) estimation from contact free video
Deependra Dewagiri, Kamesh Anuradha, Pabadhi Liyanage, Helitha Kulatunga, Pamuditha Somarathne, Udaya S. K. P. Miriya Thanthrige, Nishani Lucas, Anusha Withana, Joshua P. Kulasingham

TL;DR
VideoPulse introduces a contact-free method using facial video to accurately estimate neonatal heart rate and SpO2, facilitating non-invasive monitoring in neonatal care with promising results across diverse datasets.
Contribution
The paper presents a new neonatal dataset and an end-to-end pipeline for estimating vital signs from facial videos, demonstrating high accuracy and robustness.
Findings
Heart rate MAE of 2.97 bpm with 2-second windows
SpO2 MAE of 1.69 percent on the dataset
Effective cross-dataset generalization and fine-tuning results
Abstract
Remote photoplethysmography (rPPG) enables contact free monitoring of vital signs and is especially valuable for neonates, since conventional methods often require sustained skin contact with adhesive probes that can irritate fragile skin and increase infection control burden. We present VideoPulse, a neonatal dataset and an end to end pipeline that estimates neonatal heart rate and peripheral capillary oxygen saturation (SpO2) from facial video. VideoPulse contains 157 recordings totaling 2.6 hours from 52 neonates with diverse face orientations. Our pipeline performs face alignment and artifact aware supervision using denoised pulse oximeter signals, then applies 3D CNN backbones for heart rate and SpO2 regression with label distribution smoothing and weighted regression for SpO2. Predictions are produced in 2 second windows. On the NBHR neonatal dataset, we obtain heart rate MAE 2.97…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · Healthcare Technology and Patient Monitoring · Pressure Ulcer Prevention and Management
