Evidence map›Paper›PMID 40189636›Full record

ArticleScientific reports2025

Separation of thoracic and abdominal measurements in neonatal vital sign monitoring using radar vision fusion system.

Nanyi Jiang, Xuerui Liang, Xiangwei Dang, Yanlei Li, Shiguang Yang, Xingdong Liang, Tongyan Han

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nanyi JiangNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China. jiangnanyi18@mails.ucas.ac.cn.
Xuerui LiangDepartment of Pediatrics, Peking University Third Hospital, Beijing, 100191, China.
Xiangwei DangSchool of Information Science and Technology, North China University of Technology, Beijing, 100144, China.
Yanlei LiNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Shiguang YangNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Xingdong LiangNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China. liangxd@aircas.ac.cn.
Tongyan HanDepartment of Pediatrics, Peking University Third Hospital, Beijing, 100191, China. tongyanhan@qq.com.

Funding

National Natural Science Foundation of China 62271471
6 · The paper itself

Abstract

Non-contact, rapid and accurate measurement of respiratory rates (RR) and heart rates (HR) in neonates has significant clinical importance. Existing methods predominantly focus on thoracic respiratory signal measurement. This thoracic-focused approach, when applied to neonates who exhibit predominantly abdominal breathing, leads to a low signal-to-interference ratio (SIR) that compromises the accuracy of RR measurement compared with using abdominal signal. Moreover, neonatal and staff motion in clinical environments pose challenges for the robustness of monitoring systems. In this paper, a method for the separation of thoracic and abdominal measurements based on MIMO radar is proposed to make use of the RR information contained within the abdominal signal, while extracting HR information from thoracic signal, in which case RR can be extracted more precisely from abdominal signal with a high SIR. In order to ensure proper separation of radar beams under the interference from neonatal and staff motion, this paper presents an integrated measurement system that combines a monocular camera and MIMO radar to achieve precise and real-time guidance for the radar beams. Experimental results demonstrate significant improvements in RR measurement accuracy and system robustness. We report maximum root mean square errors of 2.16 Beats Per Minute(BPM) for RR measurements and 3.54 BPM for HR measurements.

Indexed as

AbdomenRadarRespiratory RateThoraxVital SignsHeart RateHumansInfant, NewbornMonitoring, PhysiologicSignal Processing, Computer-Assisted

Identifiers

PMID40189636
PMCPMC11973170

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.