Personalized Health Monitoring Systems: Integrating Wearable and AI
- 1 PostureHealth, San Francisco, CA, USA
- 2 Bidlytics, San Francisco, CA, USA
Abstract
The integration of wearable technologies and artificial intelligence (AI) has revolutionized healthcare, enabling advanced personal health monitoring systems. This article explores the transformative impact of wearable technologies and AI on healthcare, highlighting the development and theoretical application of the Integrated Personal Health Monitoring System (IPHMS). By integrating data from various wearable devices, such as smartphones, Apple Watches, and Oura Rings, the IPHMS framework aims to revolutionize personal health monitoring through real-time alerts, comprehensive tracking, and personalized insights. Despite its potential, the practical implementation faces challenges, including data privacy, system interoperability, and scalability. The evolution of healthcare technology from traditional methods to AI-enhanced wearables underscores a significant advancement towards personalized care, necessitating further research and innovation to address existing limitations and fully realize the benefits of such integrated health monitoring systems.
- Qureshi, Rizwan, et al. (2023) Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. TechRxiv. https://doi.org/10.36227/techrxiv.22293442
- Siontis, K.C., Noseworthy, P.A., Attia, Z.I. and Friedman, P.A. (2021) Artificial Intelligence-Enhanced Electrocardiography in Cardiovascular Disease Management. Nature Reviews Cardiology, 18, 465-478. https://doi.org/10.1038/s41569-020-00503-2
- Huang, J.D., Wang, J.L., Ramsey, E., et al. (2022) Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review. Sensors, 22, Article No. 8002. https://doi.org/10.3390/s22208002
- Asma, C., Popescu, N., Skibinska, J. and Burget, R. (2021) The Rise of Wearable Devices during the Covid-19 Pandemic: A Systematic Review. Sensors, 21, Article No. 5787. https://doi.org/10.3390/s21175787
- Xie, Y., Lu, L., Gao, F., et al. (2021) Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare. Current Medical Science, 41, 1123-1133. https://doi.org/10.1007/s11596-021-2485-0
- Shi, Q.F., Dong, B.W. and He, T.Y.Y. (2020) Progress in Wearable Electronics/ Photonics—Moving toward the Era of Artificial Intelligence and Internet of Things. InfoMat, 2, 1131-1162. https://doi.org/10.1002/inf2.12122
- Guk, K., Han, G., Lim, J., et al. (2019) Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare. Nanomaterials, 9, Article No. 813. https://doi.org/10.3390/nano9060813
- Mistry, P.K., Kishnani, P., Wanner, C., et al. (2022) Rare Lysosomal Disease Registries: Lessons Learned over Three Decades of Real-World Evidence. Orphanet Journal of Rare Diseases, 17, Article No. 362. https://doi.org/10.1186/s13023-022-02517-0
- Hayyolalam, V., Aloqaily, M., Özkasap, Ö. and Guizani, M. (2021) Edge Intelligence for Empowering Iot-Based Healthcare Systems. IEEE Wireless Communications, 28, 6-14. https://doi.org/10.1109/MWC.001.2000345
- Kalasin, S. and Surareungchai, W. (2023) Challenges of Emerging Wearable Sensors for Remote Monitoring toward Telemedicine Healthcare. Analytical Chemistry, 95, 1773-1784. https://doi.org/10.1021/acs.analchem.2c02642
- Furini, M., Mirri, S., Montangero, M. and Prandi, C. (2020) Privacy Perception When Using Smartphone Applications. Mobile Networks and Applications, 25, 1055-1061. https://doi.org/10.1007/s11036-020-01529-z