The Application of Wearable Devices for Daily Health Monitoring
DOI:
https://doi.org/10.54097/z79t8126Keywords:
Wearable device; health monitoring; application.Abstract
In the context of the booming wearable device industry, wearable devices equipped with diverse biosensors have rapidly advanced, leveraging portability, real-time monitoring, and accurate detection. These diverse devices can measure multiple health data, achieving various monitoring goals. This paper focuses on categorizing and summarizing the application scenarios of three major types of wearable devices for daily health monitoring. Employing a literature review methodology, this research retrieved, screened, categorized, and summarized articles from academic websites such as CNKI and Web of Science, introducing the detection targets of wearable devices primarily utilizing optical sensors, piezoelectric sensors, and electrochemical sensors. The application scenarios are divided into daily monitoring for healthy individuals and those with chronic conditions, with detailed analyses based on specific scenarios such as sleep, exercise monitoring, cardiovascular diseases, diabetes, Sleep Apnea Hypopnea Syndrome (SAHS), and fall prevention for the elderly. This research summarizes the advantages (portability, real-time monitoring, non-invasiveness) and limitations (accuracy improvement needed, susceptibility to environmental factors, individual differences neglected) of wearable devices. Finally, it outlines future directions for optimizing performance and user convenience, including intuitive diagnostic displays and aesthetic designs.
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[1] Samartkit, P., Pullteap, S., & Bernal, O. A non-invasive heart rate and blood pressure monitoring system using piezoelectric and photoplethysmographic sensors. Measurement,2022, 196, 111211.
[2] Lazazzera, R., Belhaj, Y., & Carrault, G. A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram. Sensors, 2019,19(11), 2557.
[3] Wang Jiale. Research on Blood Oxygen Saturation Detection and Algorithms Based on Wearable Devices . Shanghai Normal University, 2017.
[4] Zhou, J., Men, D., Zhang, X.-E. Progress in wearable sweat sensors and their applications. Chinese Journal of Analytical Chemistry,2022, 50(2): 87–96.
[5] Ma Xin, Li Huizhen, Li Yongnan, et al. Advances in Research on the Application of Wearable Devices in Cardiovascular Diseases. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2024: 1-8.
[6] Song Meihua, Lin Jinqi, Zhang Jinghao, et al. Advances in Research on Detection Methods for Sleep Apnea. China Medical Devices, 2024, 39(02): 159-163.
[7] Nandi, P., Anupama, K. R., Agarwal, H., Patel, K., Bang, V., Bharat, M., & Madhen Vyas Guru. Inertial measurement and heart-rate sensor-based dataset for geriatric fall detection using custom built wrist-worn device. Data in Brief, 2024, 52: 109812–109812.
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