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IoT Enabled Therapeutical Assistance Unit for COPD Patient Drug Delivery and Management
6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 ; : 554-559, 2022.
Article in English | Scopus | ID: covidwho-1901454
ABSTRACT
Chronic Obstructive Pulmonary Disease (COPD) results in progressive airflow limitation caused by an inflammatory reaction in the lungs due to the inhalation of noxious particles of gas, and this is the third dominant cause of death globally. Proper management and care can reduce risk factors and complications to improve the quality of life. In the covid situation due to the sudden increase in workload for doctors and Nurses, the regular COPD patients of the hospital were to face problems in proper drug administration and monitoring during infusion and nebulization and, also proper continuous monitoring of some critical parameters like SPO2, ECG, etc. This proper monitoring and controlling of critical cases by the physician at a distinct place away from the patient by smartphone is very much essential. To fulfill these requirements the proposed system involves the integration of medical devices that supports two different drug delivery system with an oxygen facility and continuous monitoring of vital parameters. This is real-time implantation using Atmega328 IC and IOT to overcome the technical shortcoming and to enhance the safety of COPD patients. In one section IR sensor with IR LED and the photodiode is used for monitoring drop rate count and volume infused during infusion. In the other section, the Arduino Nano microcontroller directs the MOSFET to control the speed and time during Nebulization. Here, the On and Off of the system can be done both manually and digitally. Blynk application is used to read and visualize sensor data and to control the hardware remotely. This system saves resources and time simultaneously and aids to improves the patient's quality of life. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 Year: 2022 Document Type: Article