Zobrazeno 1 - 10
of 751
pro vyhledávání: '"Vital sign monitoring"'
Autor:
Syed K Tanbeer, Edward Roderick Sykes
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 160-175 (2024)
In this paper, we introduce MiVitals—a Mixed Reality (MR) system designed for healthcare professionals to monitor patients in wards or clinics. We detail the design, development, and evaluation of MiVitals, which integrates real-time vital signs fr
Externí odkaz:
https://doaj.org/article/18dcd1df927f4349a5060099b164a40d
Publikováno v:
Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp pp. 788-801 (2024)
Demographic change is causing society to age. At the same time, technological progress is changing the way ageing individuals are cared for and medically treated. Several smart wearables and garments have recently been developed for this purpose. Bas
Externí odkaz:
https://doaj.org/article/42a17ff5c114468e8c793dbaceccd5ce
Publikováno v:
IEEE Access, Vol 12, Pp 142760-142771 (2024)
Millimeter wave (mmWave) radar is an attractive solution for non-contact vital sign monitoring due to its characteristics of robustness against noise, interference, and high-range resolutions. However, due to the attenuation of mmWave signal strength
Externí odkaz:
https://doaj.org/article/518fb08e33e2403495759cdb753ee671
Autor:
M. Fajkus, M. Kostelansky, M. Fridrich, J. Cubik, S. Kepak, D. Krizan, R. Martinek, Mazin Abed Mohammed, J. Nedoma
Publikováno v:
IEEE Access, Vol 12, Pp 57150-57162 (2024)
Currently, the use of fiber-optic Bragg gratings in biomedical applications, especially in the field of magnetic resonance imaging (MRI), is becoming popular. In these applications, the fiber Bragg grating (FBG) encapsulation plays a crucial role in
Externí odkaz:
https://doaj.org/article/3a751944f50a40eeabe962d3a0b3f90a
Design and Simulation of an Edge Compute Architecture for IoT-Based Clinical Decision Support System
Publikováno v:
IEEE Access, Vol 12, Pp 45456-45474 (2024)
Clinical Decision Support Systems (CDSS) have revolutionized healthcare by leveraging modern technologies such as internet of things (IoT), artificial intelligence (AI), predictive analysis, nano-medicine, and virtual & augmented reality. IoT-based C
Externí odkaz:
https://doaj.org/article/3621cd8fc34a40619506ff024c7ca645
Publikováno v:
Sensors, Vol 24, Iss 20, p 6500 (2024)
This paper presents the development of a vital sign monitoring system designed specifically for professional athletes, with a focus on runners. The system aims to enhance athletic performance and mitigate health risks associated with intense training
Externí odkaz:
https://doaj.org/article/4a7ab319483b4debac5b5b4ceacc4d3b
Autor:
Shuhao Que, Iris Cramer, Lukas Dekker, Sebastiaan Overeem, Arthur Bouwman, Svitlana Zinger, Sander Stuijk, Fokke van Meulen
Publikováno v:
Sensors, Vol 24, Iss 19, p 6374 (2024)
Objective: Contactless monitoring of instantaneous heart rate and respiration rate has a significant clinical relevance. This work aims to use Speckle Vibrometry (i.e., based on the secondary laser speckle effect) to contactlessly measure these two v
Externí odkaz:
https://doaj.org/article/e8074d05b60c44d7bcbee424f257fb2e
Publikováno v:
Sensors, Vol 24, Iss 19, p 6442 (2024)
Mobile health technologies enable continuous, quantitative assessment of mobility and gait in real-world environments, facilitating early diagnoses of gait disorders, disease progression monitoring, and prediction of adverse events like falls. Tradit
Externí odkaz:
https://doaj.org/article/211d6f856a574ff2905abb1ab7bf6d99
Publikováno v:
Sensors, Vol 24, Iss 19, p 6497 (2024)
Continuous vital sign monitoring (CVSM) with wireless sensors in general hospital wards can enhance patient care. An artificial intelligence (AI) layer is crucial to allow sensor data to be managed by clinical staff without over alerting from the sen
Externí odkaz:
https://doaj.org/article/3e09a1bb220744f8b1185f6212ef281c
Autor:
Michaela Recmanik, Radek Martinek, Jan Nedoma, Rene Jaros, Mariusz Pelc, Radovan Hajovsky, Jan Velicka, Martin Pies, Marta Sevcakova, Aleksandra Kawala-Sterniuk
Publikováno v:
Sensors, Vol 24, Iss 15, p 4767 (2024)
The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented metho
Externí odkaz:
https://doaj.org/article/ffa82dce691d47019b6fe532fb8b83d1