Polar plot of the antenna design.
<div><p>With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a novel Horse shoe shaped antenna...
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2025
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| _version_ | 1852023061179531264 |
|---|---|
| author | Umhara Rasool Khan (20663205) |
| author2 | Javaid A. Sheikh (10226756) Aqib Junaid (20663208) Shazia Ashraf (267763) Altaf A. Balkhi (20663211) |
| author2_role | author author author author |
| author_facet | Umhara Rasool Khan (20663205) Javaid A. Sheikh (10226756) Aqib Junaid (20663208) Shazia Ashraf (267763) Altaf A. Balkhi (20663211) |
| author_role | author |
| dc.creator.none.fl_str_mv | Umhara Rasool Khan (20663205) Javaid A. Sheikh (10226756) Aqib Junaid (20663208) Shazia Ashraf (267763) Altaf A. Balkhi (20663211) |
| dc.date.none.fl_str_mv | 2025-02-03T18:40:47Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0305203.g010 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Polar_plot_of_the_antenna_design_/28337544 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Biotechnology Evolutionary Biology Ecology Mental Health Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified specific absorption rate conventional em tool based machine learning 75 &# 8211 three em parameters ml models help based ml algorithms hspa designed resonates medical wearables becoming medical things electrical parameters xlink "> radiation efficiency pivotal role peak gain input power human body generated using essential part efficient use different environments detailed comparison data comprising body applications 98 ghz 98 dbm 91 dbi 89 w 45 ghz 1080 samples |
| dc.title.none.fl_str_mv | Polar plot of the antenna design. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a novel Horse shoe shaped antenna (HSPA) meant for such wearables is presented. The vitals of the workers, patients etc. are collected and sent to the IoMT platform for ensuring their safety and monitoring their physical wellbeing. In this article, regression-based Machine learning (ML) techniques are used to facilitate the design of Horse shoe shaped patch antenna to predict the frequency of operation, radiation efficiency and Specific Absorption Rate (SAR) values to accelerate its design process for on-body applications. The HSPA designed resonates at 2.45 GHz in the frequency band of 1.75–2.98 GHz with SAR of 1.89 W/kg for an input power of 16.98 dBm, peak gain of 1.91 dBi and radiation efficiency of 62.07% when mounted on the human body. 1080 samples of data comprising of three EM parameters have been generated using a conventional EM tool by varying the physical and electrical parameters of the design. A detailed comparison of the five regression-based ML algorithms is presented, and it is observed that the ML models help in efficient use of resources while designing an antenna for bio-medical applications.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_fb29dd157e5cf4cdd68a45fbdbcd53d1 |
| identifier_str_mv | 10.1371/journal.pone.0305203.g010 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28337544 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Polar plot of the antenna design.Umhara Rasool Khan (20663205)Javaid A. Sheikh (10226756)Aqib Junaid (20663208)Shazia Ashraf (267763)Altaf A. Balkhi (20663211)BiophysicsBiotechnologyEvolutionary BiologyEcologyMental HealthBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedspecific absorption rateconventional em toolbased machine learning75 &# 8211three em parametersml models helpbased ml algorithmshspa designed resonatesmedical wearables becomingmedical thingselectrical parametersxlink ">radiation efficiencypivotal rolepeak gaininput powerhuman bodygenerated usingessential partefficient usedifferent environmentsdetailed comparisondata comprisingbody applications98 ghz98 dbm91 dbi89 w45 ghz1080 samples<div><p>With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a novel Horse shoe shaped antenna (HSPA) meant for such wearables is presented. The vitals of the workers, patients etc. are collected and sent to the IoMT platform for ensuring their safety and monitoring their physical wellbeing. In this article, regression-based Machine learning (ML) techniques are used to facilitate the design of Horse shoe shaped patch antenna to predict the frequency of operation, radiation efficiency and Specific Absorption Rate (SAR) values to accelerate its design process for on-body applications. The HSPA designed resonates at 2.45 GHz in the frequency band of 1.75–2.98 GHz with SAR of 1.89 W/kg for an input power of 16.98 dBm, peak gain of 1.91 dBi and radiation efficiency of 62.07% when mounted on the human body. 1080 samples of data comprising of three EM parameters have been generated using a conventional EM tool by varying the physical and electrical parameters of the design. A detailed comparison of the five regression-based ML algorithms is presented, and it is observed that the ML models help in efficient use of resources while designing an antenna for bio-medical applications.</p></div>2025-02-03T18:40:47ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0305203.g010https://figshare.com/articles/figure/Polar_plot_of_the_antenna_design_/28337544CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/283375442025-02-03T18:40:47Z |
| spellingShingle | Polar plot of the antenna design. Umhara Rasool Khan (20663205) Biophysics Biotechnology Evolutionary Biology Ecology Mental Health Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified specific absorption rate conventional em tool based machine learning 75 &# 8211 three em parameters ml models help based ml algorithms hspa designed resonates medical wearables becoming medical things electrical parameters xlink "> radiation efficiency pivotal role peak gain input power human body generated using essential part efficient use different environments detailed comparison data comprising body applications 98 ghz 98 dbm 91 dbi 89 w 45 ghz 1080 samples |
| status_str | publishedVersion |
| title | Polar plot of the antenna design. |
| title_full | Polar plot of the antenna design. |
| title_fullStr | Polar plot of the antenna design. |
| title_full_unstemmed | Polar plot of the antenna design. |
| title_short | Polar plot of the antenna design. |
| title_sort | Polar plot of the antenna design. |
| topic | Biophysics Biotechnology Evolutionary Biology Ecology Mental Health Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified specific absorption rate conventional em tool based machine learning 75 &# 8211 three em parameters ml models help based ml algorithms hspa designed resonates medical wearables becoming medical things electrical parameters xlink "> radiation efficiency pivotal role peak gain input power human body generated using essential part efficient use different environments detailed comparison data comprising body applications 98 ghz 98 dbm 91 dbi 89 w 45 ghz 1080 samples |