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This paper presents a non-contact and unrestrained respiration monitoring system based on the optical triangulation technique. The proposed system consists of a red-green-blue (RGB) camera and a line laser installed to face the frontal thorax of a human body. The underlying idea of the work is that the camera and line laser are mounted in opposite directions, unlike other research. By applying the proposed image processing algorithm to the camera image, laser coordinates are extracted and converted to world coordinates using the optical triangulation method. These converted world coordinates represent the height of the thorax of a person. The respiratory rate is measured by analyzing changes of the thorax surface depth. To verify system performance, the camera and the line laser are installed on the head and foot sides of a bed, respectively, facing toward the center of the bed. Twenty healthy volunteers were enrolled and underwent measurement for 100s. Evaluation results show that the optical triangulation-based image processing method demonstrates non-inferior performance to a commercial patient monitoring system with a root-mean-squared error of 0.30rpm and a maximum error of 1rpm ( ), which implies the proposed non-contact system can be a useful alternative to the conventional healthcare method.
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http://dx.doi.org/10.1186/s12880-024-01448-5 | DOI Listing |
Sensors (Basel)
August 2025
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
High-resolution and three-dimensional measurements at large scales represent a crucial frontier in flow diagnostics. Color-encoded illumination particle imaging velocimetry has emerged as a promising non-contact volumetric measurement technique in recent years. By employing chromatic gradient illumination to excite tracer particles, this method encodes depth information into color signatures, which are then correlated with two-dimensional positional data in images to reconstruct three-dimensional flow fields using a single camera.
View Article and Find Full Text PDFBiosensors (Basel)
August 2025
Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow G4 0NW, UK.
Diffuse speckle contrast analysis (DSCA), also called speckle contrast optical spectroscopy (SCOS), has emerged as a groundbreaking optical imaging technique for tracking dynamic biological processes, including blood flow and tissue perfusion. Recent advancements in single-photon avalanche diode (SPAD) cameras have unlocked exceptional sensitivity, time resolution, and high frame-rate imaging capabilities. Despite this, the application of large-format SPAD arrays in speckle contrast analysis is still relatively uncommon.
View Article and Find Full Text PDFMicrovasc Res
November 2025
Department of Ophthalmology, University Hospital of Grenoble-Alpes, France; Grenoble-Alpes University, HP2 Laboratory, INSERM U1042, Grenoble, France. Electronic address:
Purpose: To measure retinal blood flow (RBF) in the retinal veins of patients with primary open-angle glaucoma (POAG) and to compare it with healthy controls. A secondary objective was to determine any correlation between RBF and visual field (VF) loss or retinal nerve-fiber layer (RNFL) thickness.
Method: Twelve patients with POAG and 11 healthy controls were included in a prospective single-center study.
IEEE Trans Pattern Anal Mach Intell
August 2025
Single-photon cameras are becoming increasingly popular in time-of-flight 3D imaging because they can time-tag individual photons with extreme resolution. However, their performance is susceptible to hardware limitations, such as system bandwidth, maximum laser power, sensor data rates, and in-sensor memory and compute resources. Compressive histograms were recently introduced as a solution to data rates through an online in-sensor compression of photon timestamp data.
View Article and Find Full Text PDFFor the fields of optical imaging and focal plane measurement and adjustment in optical processing, this paper proposes a compact three-degree-of-freedom measurement sensor suitable for high-precision positioning of small measurement surfaces. The advantage of the measurement sensor is that it effectively combines multi-degree-of-freedom geometric measurement with confocal measurement, achieving multi-degree-of-freedom measurement by the correspondence between the position of the measured surface and the position of the laser spot on the camera and achieving high-precision, large-range Z-axis axial measurement by confocal technology and triangular light measurement. In addition, compared with traditional multi-degree-of-freedom methods, the measurement points of the sensor are small, and no special target is required.
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