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Articles in Press
3/17/2026 8:08:35 AM | Browse: 20 | Download: 0
| Category |
Pediatrics |
| Manuscript Type |
Systematic Reviews |
| Article Title |
Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Pankaj Soni, Mukesh Kumar Yadav, Shailendra Kumar and Bal Krishan Bansal |
| Funding Agency and Grant Number |
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| Corresponding Author |
Pankaj Soni, FRCP (C), Lecturer, Department of Neonatology, Thumbay University Hospital, Al Jurf, Ajman 4184, United Arab Emirates. ps3858@gmail.com |
| Key Words |
Artificial intelligence; Electrocardiography; Neonatal heart rate; Non-invasive monitoring; Photoplethysmography |
| Core Tip |
Electrocardiography (ECG) remains the gold standard for neonatal heart rate (HR) measurement, offering the fastest and most accurate detection during resuscitation. Limitation factors are electrode placement delays, skin fragility, and motion artifacts. Existing contact-based methods such as auscultation, palpation, and pulse oximetry are widely used but have limitation factors like reduced reliability and dependency on perfusion, especially in preterm or unstable neonates. Emerging non-contact and artificial intelligence (AI)-enhanced technologies-including camera-based photoplethysmography, thermal imaging, Doppler, and multimodal AI systems-demonstrate clinically acceptable accuracy (< ± 2 bpm vs ECG) with faster signal acquisition and improved tolerance to motion and lighting variability. This systematic review (2013-2025) highlights the shift toward safe, contact-free, real-time HR monitoring while noting limited evidence under extreme clinical conditions. |
| Citation |
Soni P, Yadav MK, Kumar S, Bansal BK. Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review. World J Clin Pediatr 2026; In press |
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Received |
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2026-01-26 00:42 |
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Peer-Review Started |
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2026-01-26 00:42 |
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First Decision by Editorial Office Director |
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2026-01-29 08:41 |
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Return for Revision |
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2026-01-29 08:41 |
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Revised |
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2026-02-07 04:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-17 03:05 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-17 08:08 |
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Articles in Press |
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2026-03-17 08:08 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
2219-2808 (online) |
| Open Access |
Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
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