Related references
Note: Only part of the references are listed.
Review
Cardiac & Cardiovascular Systems
Kenzhebek A. Bizhanov et al.
Summary: This study provides an overview of the pathogenesis of nonvalvular atrial fibrillation and a comprehensive investigation of the epidemiological data associated with various risk factors for atrial fibrillation. The study found that age, gender, and ethnicity are important risk factors for developing atrial fibrillation, and modifiable risk factors such as lifestyle, smoking, obesity, and certain diseases also contribute to its occurrence. Heart failure and myocardial infarction increase the risk of atrial fibrillation.
JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY
(2023)
Review
Materials Science, Multidisciplinary
Sheyda Mirjalali et al.
Summary: Wearable sensors and energy harvesters have great potential in personalized healthcare, robotics, and human-machine interfaces. Piezoelectric materials, known for their ability to harvest energy, have been extensively studied in this field. This review provides an overview of recent advances in enhancing the piezoelectricity of electrospun polymer nanofibers, discussing challenges and effective approaches to achieve high-performance piezoelectric sensors and energy harvesters for wearable technologies.
MACROMOLECULAR MATERIALS AND ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Chan Wang et al.
Summary: Self-healing materials offer significant advantages in biomimetic intelligent robots by reducing safety hazards and economic losses caused by accidental damage. Researchers have developed a versatile ionic hydrogel with fast self-healing ability, ultra-stretchability, and stable conductivity, even in cryogenic environments. This hydrogel has been applied to create an artificial nerve fiber, demonstrating high fidelity and high throughput information interaction in extreme conditions.
ADVANCED MATERIALS
(2022)
Review
Cardiac & Cardiovascular Systems
Yasar Sattar et al.
Summary: A total of 4296 patients were included in the analysis of 10 articles, with a mean age of 68.9 years and 56% males. The pooled sensitivity of PPG and HH devices in AF detection was 0.93 and 0.87, respectively, while the specificity was 0.91 and 0.96. Fagan's nomogram showed a low probability of AF on PPG or HH devices with normal rhythm, but a high probability with irregular R-R intervals. The positive and negative likelihood ratios indicated high confirmation of AF and reliability of exclusion of absence of irregular R-R intervals on HH devices.
JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY
(2022)
Article
Chemistry, Physical
Yu Cao et al.
Summary: A self-powered hybrid coder (SHC) based on triboelectric nanogenerator (TENG) is reported, which can encode two action parameters of touch and press and serve as a smart interface for human-machine interaction. The SHC has multiple working modes and high structural adaptability, providing a potential solution for multi-parameter sensing and miniaturizing traditional electronic devices.
Article
Chemistry, Multidisciplinary
Keyu Meng et al.
ADVANCED MATERIALS
(2022)
Review
Cardiac & Cardiovascular Systems
Jianshu Song
Summary: This study provides a review of the literature on atrial fibrillation in China, highlighting the variations in AF prevalence and the need for improved antithrombotic therapy delivery and monitoring. It emphasizes the significant impact of atrial fibrillation on healthcare resources in China.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2022)
Review
Cardiac & Cardiovascular Systems
James E. Tooley et al.
Summary: Mobile health devices are capable of large-scale screening for atrial fibrillation, detecting more cases than usual care despite existing controversy. Consumer-driven screening is happening in both low-risk and high-risk populations. Young people, who are early adopters of these devices, may lead to more early onset atrial fibrillation patients coming to clinical attention.
Review
Cardiac & Cardiovascular Systems
Felix K. Wegner et al.
Summary: Machine learning has great potential in medicine, particularly in the detection and management of cardiovascular diseases such as atrial fibrillation. By utilizing machine learning technologies, patient care and clinical outcomes can be substantially improved, aiding cardiologists in the management of patients with atrial fibrillation.
CLINICAL RESEARCH IN CARDIOLOGY
(2022)
Review
Biology
Chaoxun Guo et al.
Summary: This paper provides a systematic review of the latest advances in computational pulse diagnosis (CPD), including pulse signal acquisition, signal preprocessing, feature extraction, and signal recognition. It also highlights the need for datasets and benchmarks to further develop CPD.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Medicine, General & Internal
Yu-Chiang Wang et al.
Summary: Atrial fibrillation is a common arrhythmia that is often underestimated. Early diagnosis is crucial for preventing complications such as stroke. The development of wearable devices and artificial intelligence technology provides new opportunities for diagnosing atrial fibrillation.
Article
Chemistry, Analytical
Puchuan Tan et al.
Summary: Hypertension is a significant global health issue, and traditional blood pressure measurement methods may lead to misdiagnosis. This article presents an artificial intelligence-enhanced blood pressure monitoring wristband that can continuously monitor blood pressure and predict blood pressure readings.
Article
Cardiac & Cardiovascular Systems
Melanie A. Gunawardene et al.
Summary: Atrial fibrillation progresses from paroxysmal to persistent/permanent AF, leading to negative cardiovascular outcomes. Early treatment can maintain sinus rhythm, lower the risk of cardiovascular events, and delay AF progression through catheter ablation.
Article
Engineering, Biomedical
Ying Liu et al.
Advanced Healthcare Materials
(2022)
Article
Chemistry, Physical
Yansong Gai et al.
Summary: This article presents the design of a wireless self-powered wearable sweat analysis system that converts mechanical energy into electricity for power supply. It enables real-time selective monitoring of biomarkers in sweat and wireless transmission of data.
Review
Cardiac & Cardiovascular Systems
Mohammed Salih et al.
Summary: Atrial fibrillation is a clinically significant arrhythmia with increasing prevalence in elderly patients. Individualized management taking into consideration complications such as embolic stroke and treatment options for stroke prevention is essential.
JOURNAL OF ARRHYTHMIA
(2021)
Review
Biochemistry & Molecular Biology
Chun-Hung Chang et al.
Summary: This study investigated the application of machine learning and novel biomarkers in the diagnosis of Alzheimer's disease (AD). In addition to traditional Aβ and tau-related biomarkers, biomarkers related to neuronal injury, synaptic dysfunction, and neuroinflammation were explored. Machine learning combined with novel biomarkers and multiple variables may improve the sensitivity and specificity in diagnosing AD.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Review
Biotechnology & Applied Microbiology
Guorui Chen et al.
Summary: Textile triboelectric nanogenerators (TENGs) are emerging as a compelling biotechnology for wearable pulse wave monitoring due to their high sensitivity, rapid response time, wearability, and low cost. Research discusses sensing mechanisms for pulse-to-electricity conversion, analytical models for calculating cardiovascular parameters, and application scenarios for textile TENGs. Challenges that limit the wider application of this technology are identified, along with suggestions for future research directions in the fields of wearable pulse wave monitoring and cardiovascular disease diagnosis.
TRENDS IN BIOTECHNOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Alvaro Alonso et al.
Summary: In recent decades, mortality rates in atrial fibrillation patients have decreased with no strong differences between men and women. These improvements may be due to advances in preventing thromboembolic complications of atrial fibrillation or better management of comorbidities.
TRENDS IN CARDIOVASCULAR MEDICINE
(2021)
Review
Cardiac & Cardiovascular Systems
Fareed Moses S. Collado et al.
Summary: The majority of embolic strokes in patients with nonvalvular atrial fibrillation are caused by thrombi in the left atrial appendage. It is projected that strokes related to atrial fibrillation will increase unless effective mitigation strategies are implemented. Systemic anticoagulation is effective in reducing stroke risk, but bleeding complications and nonadherence can be barriers. Surgical and percutaneous left atrial appendage occlusion devices are nonpharmacologic strategies to mitigate drug therapy challenges.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2021)
Review
Chemistry, Analytical
Yuan Wang et al.
Summary: In recent years, significant progress has been made in the field of energy harvesting with PVDF and its copolymers as the most promising materials for piezoelectric nanogenerators.Researchers have reviewed the effects of various nanofillers on their piezoelectric response and energy-harvesting properties, aiming to convert environmental mechanical stimulus into electrical energy effectively.
Review
Clinical Neurology
Shraddha Mainali et al.
Summary: The application of machine learning in medicine has advanced rapidly over the past decade, with commercially available algorithms already being used in clinical settings for rapid diagnoses in stroke cases. The development of deep learning techniques has greatly improved the accuracy of stroke diagnosis and outcome prediction, although challenges still remain due to the multitude of factors influencing stroke prognosis. Despite the potential of machine learning, there are limitations such as small sample sizes in studies, emphasizing the need for more data collection and evaluation to enhance the efficacy of these tools in stroke management.
FRONTIERS IN NEUROLOGY
(2021)
Review
Materials Science, Multidisciplinary
Tugce A. Arica et al.
Summary: In today's digital age, wearable electronics have become one of the most promising fields due to the increasing need and interest in personal and portable electronics. Nanogenerators, utilizing mechanical energy from human body activities, and fiber-structured functional materials with electrospinning technology are recognized as suitable energy sources with high efficiency. Electrospinning stands out as a promising technique for simple, versatile, and continuous fabrication of these energy applications.
MACROMOLECULAR MATERIALS AND ENGINEERING
(2021)
Review
Chemistry, Analytical
David Duncker et al.
Summary: This review focuses on the real-world use and evolution of wearable cardiac monitoring devices for other arrhythmias, cardiovascular diseases and some risk factors beyond atrial fibrillation. Wearable technologies such as Holter, event recorder, ECG patches have a broad application in cardiology. Implementation in other patient cohorts, such as STEMI, heart failure or sleep apnea, is feasible and expanding, with the need for clinical studies to address validation of clinical pathways and appropriate device usage leading to clinical decisions.
Article
Polymer Science
Juan Zhang et al.
Summary: This paper provides an overview of self-healing hydrogel flexible sensors, focusing on their self-healing mechanism and conductivity. Additionally, it summarizes and discusses the advantages and disadvantages of different types of sensors, identifies and discusses key issues and challenges for self-healing flexible sensors, and provides recommendations for the future.
Review
Cardiac & Cardiovascular Systems
Hack-Lyoung Kim et al.
Summary: Recent studies have found a correlation between arterial pulsatile hemodynamics and coronary artery disease, with measurements such as pulse pressure, pulse wave velocity, and augmentation index being useful in predicting future cardiovascular events in CAD patients. This highlights the importance of applying individualized therapy based on these measurements for optimal clinical outcomes.
KOREAN CIRCULATION JOURNAL
(2021)
Review
Chemistry, Physical
Shengyu Chao et al.
Summary: The development of Triboelectric Nanogenerator (TENG) based on degradable materials promotes next-generation green energy technologies, which help avoid pollution and hazards caused by metal and hardly degradable plastic materials. In addition, biodegradable devices with healthcare functions are highlighted as promising solutions for future applications.
Review
Engineering, Mechanical
Cheoljae Lee et al.
Review
Chemistry, Multidisciplinary
Valeria Nele et al.
ADVANCED FUNCTIONAL MATERIALS
(2020)
Review
Chemistry, Analytical
Gulnur Kalimuldina et al.
Review
Physiology
Jonathan P. Mynard et al.
FRONTIERS IN PHYSIOLOGY
(2020)
Review
Biochemistry & Molecular Biology
Junpeng Xu et al.
