@inproceedings{d0353913af3246899b6e142a458e0790,
title = "Wearable Devices for Health Monitoring: Analyzing Trends in Heart Rate, Blood Pressure, and Physical Activity",
abstract = "Wearable devices, such as smartwatches and fitness trackers, have gained significant attention for their role in real-time health monitoring. These devices provide continuous tracking of various physiological parameters, including heart rate, blood pressure, and physical activity, offering valuable insights into personal health trends. This study analyzes trends in these key health indicators over a one-month period, utilizing data collected from wearable devices. The findings indicate a strong positive correlation (r = 0.82) between physical activity levels and heart rate fluctuations, while systolic blood pressure variations show a moderate correlation (r = 0.35) with activity intensity. Additionally, the study establishes correlations between step count and cardiovascular indicators, demonstrating how wearable technology can contribute to better health management and early anomaly detection. The insights gained highlight the importance of leveraging wearable device data to enhance health monitoring, providing a foundation for further exploration in clinical applications and chronic disease management.",
keywords = "Wearable devices, blood pressure, health monitoring, heart rate, physical activity",
author = "Rizqi Ramadhan and Akbar, \{Izzat Aulia\} and Febriliyan Samopa",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 International Conference on Advanced Machine Learning and Data Science, AMLDS 2025 ; Conference date: 19-07-2025 Through 21-07-2025",
year = "2025",
doi = "10.1109/AMLDS63918.2025.11159354",
language = "English",
series = "Proceedings of the 2025 International Conference on Advanced Machine Learning and Data Science, AMLDS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "411--415",
booktitle = "Proceedings of the 2025 International Conference on Advanced Machine Learning and Data Science, AMLDS 2025",
address = "United States",
}