IoT Sensor-Based Big Data and Information Systems in Smart Healthcare
DOI:
https://doi.org/10.54097/g5sf4f50Keywords:
Internet of Things, Smart Healthcare, Artificial Intelligence, Information System.Abstract
With the increasing maturity of the Internet of Things (IoT) technology, a new development trend of smart healthcare has been born. This paper, based on the introduction of the current development status, application, and prospects of smart healthcare, mainly focuses on the use of IoT sensors and big data and information systems in smart healthcare and then introduces the relevant technologies involved in wearable devices based on IoT sensors and home environment sensors, as well as the overall operational framework. It also analyzes the case studies of two smart healthcare companies, Sense care and Tencent Cloud, and introduces the smart healthcare technologies they are currently mainly applying. In addition, this report also analyzes the prospects of IoT sensor-based, big data and information systems in the development of smart healthcare, describes some of the current application scenarios and possible areas of application in the future and evaluates the benefits and challenges of their application in the field of smart healthcare.
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References
Baker, S. B., Xiang, W., & Atkinson, I. (2017). Internet of things for smart healthcare: technologies, challenges, and opportunities. IEEE Access, 5, 26521 - 26544.
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2010). An emerging era in the management of Parkinson's disease: Wearable technologies and the Internet of Things. IEEE Journal of Biomedical and Health Informatics, 19 (6), 1873 - 1881.
Xiang, G., Zeng, Z., & Shen, Y. (2016). Research on the status quo and development trend of smart medical construction in China. Chinese Journal of General Medicine, 19 (24), 2998 - 3000.
Takao, H., Murayama, Y., Ishibashi, T., et al. (2012). A new support system using a mobile device (smartphone) for diagnostic image display and treatment of stroke. Stroke, 43 (1), 236 - 239.
Solanas, A., Casino, F., Batista, E., et al. (2017). Trends and challenges in smart healthcare research: a journey from data to wisdom. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI) (pp. 1-6). IEEE.
Wang, X., Li, Q., Ma, C., Zhang, S., Lin, Y., Li, J., & Liu, C. (2023). AI computation in wearable electrocardiogram monitoring. Journal of Biomedical Engineering, 40 (6), 1084 - 1092, 1101.
Choo, K. D., Xu, L., Kim, Y., et al. (2019). Energy-efficient motion-triggered IoT CMOS image sensor with capacitor array-assisted charge-injection SAR ADC. IEEE Journal of Solid-State Circuits, 54 (11), 2921 - 2931.
De Carvalho Silva, J., Rodrigues, J. J. P. C., Alberti, A. M., et al. (2017). LoRaWAN-A low power WAN protocol for Internet of Things: a review and opportunities. In 2017 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech) (pp. 1-6). IEEE.
Wang, M., & Zhang, Q. (2020). Optimized data storage algorithm of IoT based on cloud computing in distributed system. Computer Communications, 157, 124 - 131.
Mizuhua, Q., & Qian, A. (2019). Literature review of research on the current status and trend of smart medical development. Chinese Family Medicine, 22 (3), 366.
Mavrogiorgou, A., Kiourtis, A., Perakis, K., et al. (2019). IoT in healthcare: achieving interoperability of high-quality data acquired by IoT medical devices. Sensors, 19 (9), 1978.
Jeong, J. S., Han, O., & You, Y. Y. (2016). A design characteristics of smart healthcare system as the IoT application. Indian Journal of Science and Technology, 9 (37), 1 - 8.
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