Smart IoMT Framework for Supporting UAV Systems with AI
The health monitoring system is one of the most innovative technologies that has gained traction in the Internet of Medical Things (IoMT). It allows the connection of multiple sensors and actuators that can capture and monitor the data through the web page or mobile application. IoMT technology not...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/1/86 |
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| author | Nathan Shankar Musiri Kailasanathan Nallakaruppan Vaishali Ravindranath Mohan Senthilkumar Bhuvanagiri Prahal Bhagavath |
| author_facet | Nathan Shankar Musiri Kailasanathan Nallakaruppan Vaishali Ravindranath Mohan Senthilkumar Bhuvanagiri Prahal Bhagavath |
| author_sort | Nathan Shankar |
| collection | DOAJ |
| description | The health monitoring system is one of the most innovative technologies that has gained traction in the Internet of Medical Things (IoMT). It allows the connection of multiple sensors and actuators that can capture and monitor the data through the web page or mobile application. IoMT technology not only provides communications but also will provide monitoring, recording, storage, and display. IoMT in healthcare is used for measuring the vital signs of the human body, which allows medical professionals to assess the well-being of a patient. The doctor may recommend lifestyle modifications, prescribe more tests, or diagnose a disorder according to the results. This paper illustrates the remote-control health monitoring system (HMS) with the integration of a UAV, which allows the doctor to access the data and analyze the patient data remotely. Thus, the proposed HMS-UAV system aims to measure the temperature, humidity, blood pressure, heart rate, and SpO<sub>2</sub> and stores the data on the UAV. Several sensors were thus used namely DHT11, MAX30102, Myoware and K24C16, and the Raspberry Pi camera. Reduced hospital stays and avoidance of readmissions are benefits of remote patient monitoring with IoMT-based UAVs. Contrary to its advantages, IoMT has flaws in information processing since a huge volume of data are needed to be handled in a single environment. One major novel inclusion in this work is to measure multiple parameters and provide a comparative analysis for all of them. Furthermore, the functionality of video recorded and stored is included where the doctor can surveil the patient. |
| first_indexed | 2024-03-11T10:04:25Z |
| format | Article |
| id | doaj.art-e8fcba427e0f4784bb372fd71dfb816d |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:04:25Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e8fcba427e0f4784bb372fd71dfb816d2023-11-16T15:10:55ZengMDPI AGElectronics2079-92922022-12-011218610.3390/electronics12010086Smart IoMT Framework for Supporting UAV Systems with AINathan Shankar0Musiri Kailasanathan Nallakaruppan1Vaishali Ravindranath2Mohan Senthilkumar3Bhuvanagiri Prahal Bhagavath4School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore 632014, IndiaSchool of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, IndiaAvinashilingam Institute for Home Science & Higher Education for Women, Coimbatore 641043, IndiaSchool of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, IndiaSchool of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore 632014, IndiaThe health monitoring system is one of the most innovative technologies that has gained traction in the Internet of Medical Things (IoMT). It allows the connection of multiple sensors and actuators that can capture and monitor the data through the web page or mobile application. IoMT technology not only provides communications but also will provide monitoring, recording, storage, and display. IoMT in healthcare is used for measuring the vital signs of the human body, which allows medical professionals to assess the well-being of a patient. The doctor may recommend lifestyle modifications, prescribe more tests, or diagnose a disorder according to the results. This paper illustrates the remote-control health monitoring system (HMS) with the integration of a UAV, which allows the doctor to access the data and analyze the patient data remotely. Thus, the proposed HMS-UAV system aims to measure the temperature, humidity, blood pressure, heart rate, and SpO<sub>2</sub> and stores the data on the UAV. Several sensors were thus used namely DHT11, MAX30102, Myoware and K24C16, and the Raspberry Pi camera. Reduced hospital stays and avoidance of readmissions are benefits of remote patient monitoring with IoMT-based UAVs. Contrary to its advantages, IoMT has flaws in information processing since a huge volume of data are needed to be handled in a single environment. One major novel inclusion in this work is to measure multiple parameters and provide a comparative analysis for all of them. Furthermore, the functionality of video recorded and stored is included where the doctor can surveil the patient.https://www.mdpi.com/2079-9292/12/1/86healthcareIoMTmachine learningservice oriented architectureUAV (unmanned aerial vehicle) |
| spellingShingle | Nathan Shankar Musiri Kailasanathan Nallakaruppan Vaishali Ravindranath Mohan Senthilkumar Bhuvanagiri Prahal Bhagavath Smart IoMT Framework for Supporting UAV Systems with AI Electronics healthcare IoMT machine learning service oriented architecture UAV (unmanned aerial vehicle) |
| title | Smart IoMT Framework for Supporting UAV Systems with AI |
| title_full | Smart IoMT Framework for Supporting UAV Systems with AI |
| title_fullStr | Smart IoMT Framework for Supporting UAV Systems with AI |
| title_full_unstemmed | Smart IoMT Framework for Supporting UAV Systems with AI |
| title_short | Smart IoMT Framework for Supporting UAV Systems with AI |
| title_sort | smart iomt framework for supporting uav systems with ai |
| topic | healthcare IoMT machine learning service oriented architecture UAV (unmanned aerial vehicle) |
| url | https://www.mdpi.com/2079-9292/12/1/86 |
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