ArticleSensors (Basel, Switzerland)2021
Automated Non-Contact Respiratory Rate Monitoring of Neonates Based on Synchronous Evaluation of a 3D Time-of-Flight Camera and a Microwave Interferometric Radar Sensor.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- Camera-based respiratory rate monitoring in unmodified neonatal intensive care - a cross-sectional study in a UK hospital.EClinicalMedicine · 2026Article
- Radar-Based Monitoring: A Proof of Principle Study in a Piglet Model for a Novel Approach in Non-Contact Vital Sign Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Point Cloud Fusion of Human Respiratory Motion Under Multi-View Time-of-Flight Camera System: Voxelization Method Using 2D Voxel Block Index.Sensors (Basel, Switzerland) · 2025Article
- Electromagnetic Imaging for Breathing Monitoring.Sensors (Basel, Switzerland) · 2024Article
- A Time-of-Flight and Radar Dataset of a neonatal Thorax Simulator with synchronized Reference Sensor Signals for respiratory Rate Detection.Scientific data · 2024Article
- Emerging innovations in neonatal monitoring: a comprehensive review of progress and potential for non-contact technologies.Frontiers in pediatrics · 2024Review
- Human Respiration Rate Measurement with High-Speed Digital Fringe Projection Technique.Sensors (Basel, Switzerland) · 2023Article
- Laser spectroscopic method for remote sensing of respiratory rate.Physical and engineering sciences in medicine · 2023Article
- Sensor Fusion for the Robust Detection of Facial Regions of Neonates Using Neural Networks.Sensors (Basel, Switzerland) · 2023Article
- Trends in Passive IoT Biomarker Monitoring and Machine Learning for Cardiovascular Disease Management in the U.S. Elderly Population.Advances in geriatric medicine and research · 2023Article
- Non-invasive sensor methods used in monitoring newborn babies after birth, a clinical perspective.Maternal health, neonatology and perinatology · 2022Article
- Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
This paper introduces an automatic non-contact monitoring method based on the synchronous evaluation of a 3D time-of-flight (ToF) camera and a microwave interferometric radar sensor for measuring the respiratory rate of neonates. The current monitoring on the Neonatal Intensive Care Unit (NICU) has several issues which can cause pressure marks, skin irritations and eczema. To minimize these risks, a non-contact system made up of a 3D time-of-flight camera and a microwave interferometric radar sensor is presented. The 3D time-of-flight camera delivers 3D point clouds which can be used to calculate the change in distance of the moving chest and from it the respiratory rate. The disadvantage of the ToF camera is that the heartbeat cannot be determined. The microwave interferometric radar sensor determines the change in displacement caused by the respiration and is even capable of measuring the small superimposed movements due to the heartbeat. The radar sensor is very sensitive towards movement artifacts due to, e.g., the baby moving its arms. To allow a robust vital parameter detection the data of both sensors was evaluated synchronously. In this publication, we focus on the first step: determining the respiratory rate. After all processing steps, the respiratory rate determined by the radar sensor was compared to the value received from the 3D time-of-flight camera. The method was validated against our gold standard: a self-developed neonatal simulation system which can simulate different breathing patterns. In this paper, we show that we are the first to determine the respiratory rate by evaluating the data of an interferometric microwave radar sensor and a ToF camera synchronously. Our system delivers very precise breaths per minute (BPM) values within the norm range of 20-60 BPM with a maximum difference of 3 BPM (for the ToF camera itself at 30 BPM in
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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.