The increasing demand for personalized healthcare, particularly among individuals requiring continuous health monitoring, has driven significant advancements in sensor technology. Wearable, non-continuous monitoring, and non-contact sensors are leading this innovation, providing novel methods for monitoring vital signs and physiological data in both clinical and home settings. However, there is a lack of comprehensive comparative studies assessing the overall functionality of these technologies. This paper aims to address this gap by presenting a detailed comparative analysis of selected wearable, non-continuous monitoring, and non-contact sensors used for health monitoring. To achieve this, we conducted a comprehensive evaluation of various sensors available on the market, utilizing key indicators such as sensor performance, usability, associated platforms functionality, data management, battery efficiency, and cost-effectiveness. Our findings highlight the strengths and limitations of each sensor type, thus offering valuable insights for the selection of the most appropriate technology based on specific healthcare needs. This study has the potential to serve as a valuable resource for researchers, healthcare providers, and policymakers, contributing to a deeper understanding of existing user-centered health monitoring solutions.
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http://dx.doi.org/10.3390/s25020556 | DOI Listing |
Sensors (Basel)
January 2025
Department of Information Engineering, University of Florence, 50139 Florence, Italy.
The increasing demand for personalized healthcare, particularly among individuals requiring continuous health monitoring, has driven significant advancements in sensor technology. Wearable, non-continuous monitoring, and non-contact sensors are leading this innovation, providing novel methods for monitoring vital signs and physiological data in both clinical and home settings. However, there is a lack of comprehensive comparative studies assessing the overall functionality of these technologies.
View Article and Find Full Text PDFAdv Mater
December 2024
School of Mechanical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Mechanoelectric energy conversion holds promise for energy conversion and transmission devices, yet conventional configurations rely on large-area conductive materials in active regions, limiting architectural design for cutting-edge devices. Here, a rational strategy is reported to create mechanical stimuli-driven pseudo-conductive (MSPC) channels entirely from dielectric materials, eliminating the need for electrodes in active regions. An in-depth investigation of MSPC channel formation mechanism at dielectric interfaces is conducted, employing energy band analyses.
View Article and Find Full Text PDFMed Biol Eng Comput
October 2024
College of Information Science and Engineering, Northeastern University, NO. 3-11 Wenhua Road, Shenyang, 110819, Liaoning, China.
The current diagnosis of diabetic retinopathy is based on fundus images and clinical experience. However, considering the ineffectiveness and non-portability of medical devices, we aimed to develop a diagnostic model for diabetic retinopathy based on glucose series data from the wearable continuous glucose monitoring system. Therefore, this study developed a novel method, i.
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June 2024
Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Blood Press
December 2024
Service of Anesthesiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Cuffless blood pressure measurement technologies have attracted significant attention for their potential to transform cardiovascular monitoring. This updated narrative review thoroughly examines the challenges, opportunities, and limitations associated with the implementation of cuffless blood pressure monitoring systems. Diverse technologies, including photoplethysmography, tonometry, and ECG analysis, enable cuffless blood pressure measurement and are integrated into devices like smartphones and smartwatches.
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