Alfredo V. Atienza, Lorissa Joana E. Buenas, Froilan G. Destreza
{"title":"迈向个性化药物管理:使用可穿戴传感器和物联网的药物提醒新方法","authors":"Alfredo V. Atienza, Lorissa Joana E. Buenas, Froilan G. Destreza","doi":"10.1109/I2CACIS57635.2023.10193547","DOIUrl":null,"url":null,"abstract":"This study proposed a novel approach to personalized medication management using wearable sensors and IoT (Internet of Things) technology. The aim is to develop a medication reminder system that is tailored to the individual needs of patients, taking into account their specific medication schedules and dosages. The system uses wearable sensors to monitor the patient’s medication intake and sends reminders via a mobile application. The device is composed of an alarm system, six pill compartments, sensors, and microcontrollers. The study aimed to determine the technical specifications and dimensions of the design, the reliability of distance connectivity, the functionality of the alarm system, and the level of functionality of the offline webpage. The study followed the Engineering Design Process, and the results showed that the design project is a portable and low-cost automatic medicine reminder kit made up of lightweight materials. The distance connectivity of the belt alarm was reliable, and the offline webpage functioned well. The proposed approach has the potential to improve medication adherence, reduce medication errors, and enhance patient outcomes. This study presents a proof-of-concept demonstration of the proposed system and discusses the feasibility and potential benefits of this approach.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Personalized Medication Management: A Novel Approach to Medication Reminder Using Wearable Sensors and IoT\",\"authors\":\"Alfredo V. Atienza, Lorissa Joana E. Buenas, Froilan G. Destreza\",\"doi\":\"10.1109/I2CACIS57635.2023.10193547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposed a novel approach to personalized medication management using wearable sensors and IoT (Internet of Things) technology. The aim is to develop a medication reminder system that is tailored to the individual needs of patients, taking into account their specific medication schedules and dosages. The system uses wearable sensors to monitor the patient’s medication intake and sends reminders via a mobile application. The device is composed of an alarm system, six pill compartments, sensors, and microcontrollers. The study aimed to determine the technical specifications and dimensions of the design, the reliability of distance connectivity, the functionality of the alarm system, and the level of functionality of the offline webpage. The study followed the Engineering Design Process, and the results showed that the design project is a portable and low-cost automatic medicine reminder kit made up of lightweight materials. The distance connectivity of the belt alarm was reliable, and the offline webpage functioned well. The proposed approach has the potential to improve medication adherence, reduce medication errors, and enhance patient outcomes. This study presents a proof-of-concept demonstration of the proposed system and discusses the feasibility and potential benefits of this approach.\",\"PeriodicalId\":244595,\"journal\":{\"name\":\"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2CACIS57635.2023.10193547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CACIS57635.2023.10193547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Personalized Medication Management: A Novel Approach to Medication Reminder Using Wearable Sensors and IoT
This study proposed a novel approach to personalized medication management using wearable sensors and IoT (Internet of Things) technology. The aim is to develop a medication reminder system that is tailored to the individual needs of patients, taking into account their specific medication schedules and dosages. The system uses wearable sensors to monitor the patient’s medication intake and sends reminders via a mobile application. The device is composed of an alarm system, six pill compartments, sensors, and microcontrollers. The study aimed to determine the technical specifications and dimensions of the design, the reliability of distance connectivity, the functionality of the alarm system, and the level of functionality of the offline webpage. The study followed the Engineering Design Process, and the results showed that the design project is a portable and low-cost automatic medicine reminder kit made up of lightweight materials. The distance connectivity of the belt alarm was reliable, and the offline webpage functioned well. The proposed approach has the potential to improve medication adherence, reduce medication errors, and enhance patient outcomes. This study presents a proof-of-concept demonstration of the proposed system and discusses the feasibility and potential benefits of this approach.