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Efficient data transmission on wireless communication through a privacy-enhanced blockchain process
In the medical era, wearables often manage and find the specific data points to check important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length, interruptions, and intensity, and physical activity like kind, duration, and levels. These digital biomarkers are created mainl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280508/ https://www.ncbi.nlm.nih.gov/pubmed/37346706 http://dx.doi.org/10.7717/peerj-cs.1308 |
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author | Aluvalu, Rajanikanth Kumaran V. N., Senthil Thirumalaisamy, Manikandan Basheer, Shajahan Ali aldhahri, Eman Selvarajan, Shitharth |
author_facet | Aluvalu, Rajanikanth Kumaran V. N., Senthil Thirumalaisamy, Manikandan Basheer, Shajahan Ali aldhahri, Eman Selvarajan, Shitharth |
author_sort | Aluvalu, Rajanikanth |
collection | PubMed |
description | In the medical era, wearables often manage and find the specific data points to check important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length, interruptions, and intensity, and physical activity like kind, duration, and levels. These digital biomarkers are created mainly through passive data collection from various sensors. The critical issues with this method are time and sensitivity. We reviewed the newest wireless communication trends employed in hospitals using wearable technology and privacy and Block chain to solve this problem. Based on sensors, this wireless technology controls the data gathered from numerous locations. In this study, the wearable sensor contains data from the various departments of the system. The gradient boosting method and the hybrid microwave transmission method have been proposed to find the location and convince people. The patient health decision has been submitted to hybrid microwave transmission using gradient boosting. This will help to trace the mobile phones using the calls from the threatening person, and the data is gathered from the database while tracing. From this concern, the data analysis process is based on decision-making. They adapted the data encountered by the detailed data in the statistical modeling of the system to produce exploratory data analysis for satisfying the data from the database. Complete data is classified with a 97% outcome by removing unwanted data and making it a 98% successful data classification. |
format | Online Article Text |
id | pubmed-10280508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102805082023-06-21 Efficient data transmission on wireless communication through a privacy-enhanced blockchain process Aluvalu, Rajanikanth Kumaran V. N., Senthil Thirumalaisamy, Manikandan Basheer, Shajahan Ali aldhahri, Eman Selvarajan, Shitharth PeerJ Comput Sci Computer Networks and Communications In the medical era, wearables often manage and find the specific data points to check important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length, interruptions, and intensity, and physical activity like kind, duration, and levels. These digital biomarkers are created mainly through passive data collection from various sensors. The critical issues with this method are time and sensitivity. We reviewed the newest wireless communication trends employed in hospitals using wearable technology and privacy and Block chain to solve this problem. Based on sensors, this wireless technology controls the data gathered from numerous locations. In this study, the wearable sensor contains data from the various departments of the system. The gradient boosting method and the hybrid microwave transmission method have been proposed to find the location and convince people. The patient health decision has been submitted to hybrid microwave transmission using gradient boosting. This will help to trace the mobile phones using the calls from the threatening person, and the data is gathered from the database while tracing. From this concern, the data analysis process is based on decision-making. They adapted the data encountered by the detailed data in the statistical modeling of the system to produce exploratory data analysis for satisfying the data from the database. Complete data is classified with a 97% outcome by removing unwanted data and making it a 98% successful data classification. PeerJ Inc. 2023-04-21 /pmc/articles/PMC10280508/ /pubmed/37346706 http://dx.doi.org/10.7717/peerj-cs.1308 Text en © 2023 Aluvalu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Computer Networks and Communications Aluvalu, Rajanikanth Kumaran V. N., Senthil Thirumalaisamy, Manikandan Basheer, Shajahan Ali aldhahri, Eman Selvarajan, Shitharth Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title | Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title_full | Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title_fullStr | Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title_full_unstemmed | Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title_short | Efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
title_sort | efficient data transmission on wireless communication through a privacy-enhanced blockchain process |
topic | Computer Networks and Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280508/ https://www.ncbi.nlm.nih.gov/pubmed/37346706 http://dx.doi.org/10.7717/peerj-cs.1308 |
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