ArticleFrontiers in physiology2022
A Real-Time Respiration Monitoring and Classification System Using a Depth Camera and Radars.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Direct extraction of respiratory information from pulse waves using a finger-inspired flexible pressure sensor system.Microsystems & nanoengineering · 2025Article
- 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
- Evaluation of In-Ear and Fingertip-Based Photoplethysmography Sensors for Measuring Cardiac Vagal Tone Relevant Heart Rate Variability Parameters.Sensors (Basel, Switzerland) · 2025Article
- Continuous non-contact monitoring of neonatal activity.BMC pediatrics · 2025Article
- Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024Article
- mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave Radar.Sensors (Basel, Switzerland) · 2024Article
- Article
- Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study.JMIR formative research · 2024Article
- Application of non-contact sensors for health monitoring in hospitals: a narrative review.Frontiers in medicine · 2024Review
- A Review on Recent Advancements of Biomedical Radar for Clinical Applications.IEEE open journal of engineering in medicine and biology · 2024Article
- Laser spectroscopic method for remote sensing of respiratory rate.Physical and engineering sciences in medicine · 2023Article
- Women's Respiratory Movements during Spontaneous Breathing and Physical Fitness: A Cross-Sectional, Correlational Study.International journal of environmental research and public health · 2022Article
- Monitoring Respiratory Motion during VMAT Treatment Delivery Using Ultra-Wideband Radar.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiration rate (RR) and respiration patterns (RP) are considered early indicators of physiological conditions and cardiorespiratory diseases. In this study, we addressed the problem of contactless estimation of RR and classification of RP of one person or two persons in a confined space under realistic conditions. We used three impulse radio ultrawideband (IR-UWB) radars and a 3D depth camera (Kinect) to avoid any blind spot in the room and to ensure that at least one of the radars covers the monitored subjects. This article proposes a subject localization and radar selection algorithm using a Kinect camera to allow the measurement of the respiration of multiple people placed at random locations. Several different experiments were conducted to verify the algorithms proposed in this work. The mean absolute error (MAE) between the estimated RR and reference RR of one-subject and two-subjects RR estimation are 0.61±0.53 breaths/min and 0.68±0.24 breaths/min, respectively. A respiratory pattern classification algorithm combining feature-based random forest classifier and pattern discrimination algorithm was developed to classify different respiration patterns including eupnea, Cheyne-Stokes respiration, Kussmaul respiration and apnea. The overall classification accuracy of 90% was achieved on a test dataset. Finally, a real-time system showing RR and RP classification on a graphical user interface (GUI) was implemented for monitoring two subjects.
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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.