[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 …

[PDF][PDF] Data-driven decision-making in healthcare: Improving patient outcomes through predictive modeling

IA Adeniran, CP Efunniyi, OS Osundare… - … & Technology Journal, 2024 - researchgate.net
This review paper explores the transformative role of data-driven decision-making in
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 …

[HTML][HTML] Smart consumer wearables as digital diagnostic tools: a review

S Chakrabarti, N Biswas, LD Jones, S Kesari, S Ashili - Diagnostics, 2022 - mdpi.com
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 …

Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis

CT Chung, S Lee, E King, T Liu, AA Armoundas… - International journal of …, 2022 - Springer
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) …

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 …

Artificial intelligence in image-based cardiovascular disease analysis: A comprehensive survey and future outlook

X Wang, H Zhu - arxiv preprint arxiv:2402.03394, 2024 - arxiv.org
Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
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)

M Salvi, MR Acharya, S Seoni, O Faust… - … : Data Mining and …, 2024 - Wiley Online Library
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 …

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 …

Employing of machine learning and wearable devices in healthcare system: tasks and challenges

HS Saad, JFW Zaki, MM Abdelsalam - Neural Computing and Applications, 2024 - Springer
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 …