As the world is marching into the era of the Internet of things (IoTs) and artificial intelligence (AI), the most vital requirement for reliable hardware development is an ultrafast response time and no performance degradation. As a reliable indicator of human physiological health, blood pressure measurement is vital in humans' daily lives, which creates a huge demand in monitoring and diagnosing blood pressure problems. The triboelectric nanogenerator (TENG) is one of the best energy devices and healthcare applications in the new era since triboelectrification is a universal and ubiquitous effect with an abundant choice of materials. TENG is reliable in physiological monitoring applications and has many benefits, including being inexpensive, easy to manufacture, and lightweight, having self-powered properties, and being available in a wide range of materials. In this review, triboelectric nanogenerator based wrist pulse measurement was summarized for blood pressure monitoring and diagnosis applications. As per the Ayurveda, imbalance in three essential components of the wrist pulse implies the human health status and reveals symptoms for diseases. The design of different TENG-based blood pressure sensors, sensing mechanisms, performance, merits, and demerits of each method are discussed.
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http://dx.doi.org/10.1021/acssensors.0c02324 | DOI Listing |
EClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFPatient Prefer Adherence
January 2025
Division of Hypertension, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Introduction: Self-care practices are crucial for optimizing blood pressure control and are influenced by multilevel factors.
Objective: To examine the influences of multilevel factors on hypertension self-care practices among individuals with uncontrolled hypertension and to determine the relationship between hypertension self-care practices and blood pressure.
Methods: The study was conducted in primary, secondary, and tertiary care settings in Bangkok, selected for convenience, where individuals with uncontrolled hypertension were recruited using a convenience sampling method based on specific inclusion criteria.
Front Pharmacol
December 2024
Department of Obstetrics and Gynecology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Background: Medroxyprogesterone acetate (MPA), a synthetic progestogen, is extensively used for the treatment of various conditions, including contraception, irregular menstruation, functional uterine bleeding, and endometriosis. However, like all pharmaceutical agents, MPA is associated with adverse drug reactions. This study aimed to evaluate the adverse events (AEs) associated with MPA in by analyzing real-world data from the U.
View Article and Find Full Text PDFHigh blood pressure is a significant risk factor for cardiovascular diseases and is linked to an increased risk of mild cognitive impairment (MCI). The lack of effective treatments for these conditions highlights the urgent need for novel therapeutic approaches. Recent research suggests that the gut microbiota-brain-gut axis plays a crucial role in the pathogenesis of hypertension and MCI by regulating the nervous, endocrine, and immune systems.
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