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There is a need for reliable and quantitative real-time assessment of blood properties to study and treat a broad spectrum of disorders and cardiovascular diseases as well as to test the efficacy of hemostatic agents. In this study, the real-time changes in viscoelastic/rheological properties of bovine whole blood during coagulation induced by different concentrations of calcium chloride (CaCl; 15, 25, 35 and 45 mM) was investigated. For this purpose, a novel, contactless technique was used to accurately measure the clotting characteristics under controlled and sterile conditions. It was demonstrated that, increasing the calcium concentration from low values (i.e., 15 and 25 mM), led to shorter reaction time; however, a further increase in calcium concentration (i.e., 35 and 45 mM) favored longer reaction times. Additionally, increasing the CaCl concentration resulted in higher shear storage modulus (i.e., stiffer clots). These results were also comparable to those generated by thromboelastrograph, a clinically established technique, as well as a conventional rheometer, which quantitatively verified the high correlation of the shear storage modulus data. In sum, the non-destructive testing technique used in this study is reproducible and sensitive in measuring clot formation kinetics, which could be applied to assess the efficacy of hemostatic agents, and may also contribute to better diagnosing relevant circulatory system diseases and conditions.
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http://dx.doi.org/10.1016/j.jmbbm.2020.103921 | DOI Listing |
IEEE J Biomed Health Inform
September 2025
Imaging photoplethysmography (iPPG) is an emerging optical technique that allows for the contactless acquisition of arterial Blood Volume Pulse (BVP) signals from video recordings of the human skin. While iPPG offers a non-contact and convenient means for physiological monitoring, the accuracy of the extracted BVP signals remains limited. This limitation hinders its potential for advanced cardiovascular assessments, such as evaluations of arterial stiffness and cardiac function.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Electromagnetic and Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia.
This paper focuses on designing a robust stereophonic measurement set-up for sound sleep recording. The system is employed throughout the night during polysomnographic examinations of children in a pediatric sleep laboratory at a university hospital. Deep learning methods were used to classify the sounds in the recordings into four categories (snoring, breathing, silence, and other sounds).
View Article and Find Full Text PDFSensors (Basel)
August 2025
Idiap Research Institute, 1920 Martigny, Switzerland.
Current finger-vein or palm-vein recognition systems usually require direct contact of the subject with the apparatus. This can be problematic in environments where hygiene is of primary importance. In this work we present a contactless vascular biometrics sensor platform named which can be used for hand vascular biometrics studies (wrist, palm, and finger-vein) and surface features such as palmprint.
View Article and Find Full Text PDFCan Geriatr J
September 2025
Department of Emergency Medicine, UBC, Vancouver, BC.
Background: Research underscores the role of self-management capabilities as a strategy for enhancing the well-being of older adults by mitigating potential health risks and functional decline. Self-management tools like remote vital sign monitoring serve as critical indicators for detecting adverse health outcomes. Thus, the study aims to understand prior experiences of older adults and caregivers in self-management, along with soliciting their perspective on the technical advantages and barriers of using technology in medicine, citing their experience with remote vital sign monitoring as an example.
View Article and Find Full Text PDFComput Biol Med
August 2025
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands.
Non-invasive health monitoring technologies increasingly attract attention as they allow for continuous, comfortable vital sign monitoring. However, contactless sensing of vital signs using radar systems has significant challenges in accurately extracting physiological information from noisy signals, especially when subjects move freely. This study introduces a novel framework that combines Independent Component Analysis (ICA) and Empirical Wavelet Transform (EWT) to estimate respiratory rate (RR) from radar signals under free-movement conditions.
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