ReviewSensors (Basel, Switzerland)2020
Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Biophotonics point-of-care diagnostics in low-resource settings: a South African perspective.Journal of biomedical optics · 2026Review
- Non-Contact Detection of Apnea-like Breathing Cessations Using Laser Speckle Pattern Analysis.Sensors (Basel, Switzerland) · 2026Article
- Air-Coupled Ultrasound Systems for Biomedical Applications: Advances in Sensors, Electronic Interfaces and Signal Processing Strategies.Sensors (Basel, Switzerland) · 2026Review
- Radar-based inspiratory-to-expiratory time ratio estimation: a validation study.Scientific reports · 2026Article
- Cross-Modality Transfer Learning from PSG to FMCW Radar for Event-Level Apnea-Hypopnea Segmentation.Bioengineering (Basel, Switzerland) · 2026Article
- Image recognition-based detection system for preventing accidental dislodgement of head-and-neck medical supplies in ICU patients: A feasibility randomized controlled trial.International journal of nursing sciences · 2026Article
- Contactless monitoring to prevent self-harm and suicide in custodial settings: Protocol for a global scoping review.BMJ open · 2024Article
- For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser.BMC medical imaging · 2024Article
- Respiratory motion tracking of the thoracoabdominal surface based on defect-aware point cloud registration.Biomedical engineering letters · 2024Article
- Extrinsic Calibration for a Modular 3D Scanning Quality Validation Platform with a 3D Checkerboard.Sensors (Basel, Switzerland) · 2024Article
- A Differential Inertial Wearable Device for Breathing Parameter Detection: Hardware and Firmware Development, Experimental Characterization.Sensors (Basel, Switzerland) · 2022Article
- Depth-Based Measurement of Respiratory Volumes: A Review.Sensors (Basel, Switzerland) · 2022Review
- Contactless Monitoring of Breathing Pattern and Thoracoabdominal Asynchronies in Preterm Infants Using Depth Cameras: A Feasibility Study.IEEE journal of translational engineering in health and medicine · 2022Article
- Respiratory function assessment at the time of a new respiratory virus pandemic.Respiratory medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessment of respiratory function allows early detection of potential disorders in the respiratory system and provides useful information for medical management. There is a wide range of applications for breathing assessment, from measurement systems in a clinical environment to applications involving athletes. Many studies on pulmonary function testing systems and breath monitoring have been conducted over the past few decades, and their results have the potential to broadly impact clinical practice. However, most of these works require physical contact with the patient to produce accurate and reliable measures of the respiratory function. There is still a significant shortcoming of non-contact measuring systems in their ability to fit into the clinical environment. The purpose of this paper is to provide a review of the current advances and systems in respiratory function assessment, particularly camera-based systems. A classification of the applicable research works is presented according to their techniques and recorded/quantified respiration parameters. In addition, the current solutions are discussed with regards to their direct applicability in different settings, such as clinical or home settings, highlighting their specific strengths and limitations in the different environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.