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An intelligent medication aid system developed by Arduino

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Published:17 April 2024Publication History

ABSTRACT

Nowadays, the common disease of the aging population is complicated disease, rather than suffering from a single disease and the aging population due to the gradual decline of physiological function is bound to cause inconvenience, memory loss and other conditions. At the same time, chronic diseases require long-term medication and the side effects of drugs may be reduced. This system is designed to provide intelligent reminders for patients with chronic diseases. Secondly, this system also designs AI recognition function for the elderly and people with poor vision. Based on this, the conditions of the aging population cannot guarantee that they can independently take a variety of drugs every day. If a large number of drugs cannot be taken in a correct way, it will damage health at the least or accelerate the deterioration of the disease even to the danger of life. In view of this phenomenon, an intelligent drug assistant is designed. This system uses the combination of AI and IoT technology to develop an intelligent assistant medication device. Equipped with multiple auxiliary functions such as real-time monitoring of medication time, synchronizing medication data, voice reminders and automatically generating health records, the device aims to help the elderly better manage their medication. This system takes into account the behavior characteristics of the elderly, and helps the elderly develop a good habit of taking medicine by adjusting the time and frequency of taking medicine. The overall appearance of this system is small, with relatively low production cost, simple and convenient operation steps and other characteristics, according to the experiment proved that it can improve the problem of the aging population taking medicine to a certain extent, with certain market potential.

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    • Published in

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      EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
      October 2023
      1809 pages
      ISBN:9798400708305
      DOI:10.1145/3650400

      Copyright © 2023 ACM

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      Publication History

      • Published: 17 April 2024

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