Paper
6 September 2022 A study of community health model based on wearable care devices with information technology
Zijian Wu, Jiasheng Li, Manli Zhang
Author Affiliations +
Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123321F (2022) https://doi.org/10.1117/12.2652772
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China
Abstract
This paper presents a community health models and designs a corresponding system using wearable care devices depend on Internet of Things, Cloud Computing, Data Analytics and other information technologies. For common chronic diseases, Electrocardiogram, respiration, pulse, temperature, and movement status signals are selected as important bases for reflecting the health status and determining the condition of the body. This paper designs the function of the wearable smart device and introduces the smart device's early warning function, built-in sensors, and various human monitoring components. The smart device can accurately judge the condition of the elderly. When an abnormality is found, it will send an alarm to the mobile phone in time, so that guardians and children can grasp it in real-time. Based on the user perspective, we propose strategies to meet user expectations and improve user information literacy; based on the social network perspective, we propose strategies to establish a long-term mechanism for smart medical operation and improve the information interaction network environment; based on the system service perspective, we propose strategies to optimize the system function design and innovate the service model.
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Zijian Wu, Jiasheng Li, and Manli Zhang "A study of community health model based on wearable care devices with information technology", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123321F (6 September 2022); https://doi.org/10.1117/12.2652772
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KEYWORDS
Electrocardiography

Amplifiers

Sensors

Cell phones

Electrodes

Linear filtering

Data modeling

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