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[HTML][HTML] A review of recent advances in vital signals monitoring of sports and health via flexible wearable sensors
W Sun, Z Guo, Z Yang, Y Wu, W Lan, Y Liao, X Wu… - Sensors, 2022 - mdpi.com
In recent years, vital signals monitoring in sports and health have been considered the
research focus in the field of wearable sensing technologies. Typical signals include …
research focus in the field of wearable sensing technologies. Typical signals include …
[PDF][PDF] Data-driven decision-making in healthcare: Improving patient outcomes through predictive modeling
This review paper explores the transformative role of data-driven decision-making in
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
healthcare, focusing on how predictive modeling enhances patient outcomes. Predictive …
[HTML][HTML] Digital Health and Wearable Technologies
S Karimian, F Taheri, M Farrokhi, M Farrokhi, Z Bayat… - Kindle, 2024 - preferpub.org
Digital health and wearable technologies represent a transformative wave in healthcare,
blending medical advancements with innovative technology to enhance patient care …
blending medical advancements with innovative technology to enhance patient care …
[HTML][HTML] Smart consumer wearables as digital diagnostic tools: a review
The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …
lifestyle of the users, but also on biological research and personalized healthcare services …
Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis
Cardiovascular diseases are one of the leading global causes of mortality. Currently,
clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) …
clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) …
Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity
Y **, S Cheng, S Chao, Y Hu, M Cai, Y Zou, Z Liu… - Nano Research, 2023 - Springer
Atrial fibrillation (AF) is a common and serious disease. Its diagnosis usually requires 12-
lead electrocardiogram, which is heavy and inconvenient. At the same time, the venue for …
lead electrocardiogram, which is heavy and inconvenient. At the same time, the venue for …
Artificial intelligence in image-based cardiovascular disease analysis: A comprehensive survey and future outlook
Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
Biometrics of complete human pregnancy recorded by wearable devices
L Keeler Bruce, D González, S Dasgupta… - NPJ Digital …, 2024 - nature.com
Abstract In the United States, normal-risk pregnancies are monitored with the recommended
average of 14 prenatal visits. Check-ins every few weeks are the standard of care. This low …
average of 14 prenatal visits. Check-ins every few weeks are the standard of care. This low …
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …
of technology. One of the major challenges facing healthcare professionals and healthcare …