Keywords: smart healthcare wearable device;COVID-19;Internet of Medical Things 1.Introduction The purpose of our systematic review is to examine the recently published literature on COVID-19 prevention, screening, detection, diagnosis, and treatment and integrate the insights it configures on Internet of Medical Things-based clinical decision support systems, smart healthcare wearable devices, and machine learning algorithms. 3.Methodology Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Medical Things-based clinical decision support systems," "smart healthcare wearable devices," and "machine learning algorithms." COVID-19 data management can integrate real-time analysis of electronic health records (Akinbi et al., 2021;Asadzadeh et al., 2022;Rasheed et al., 2021), assisting in prevention, screening, detection, diagnosis, and treatment. Internet of Medical Things-driven remote monitoring systems can provide in-depth individualized healthcare data collection, analysis, processing, and diagnosis.
关键词:智能医疗可穿戴设备;COVID-19;医疗物联网本系统综述的目的是对近期发表的关于COVID-19预防、筛查、检测、诊断和治疗的文献进行梳理，并整合其对基于医疗物联网的临床决策支持系统、智能医疗可穿戴设备和机器学习算法的见解。3.整个2022年2月，我们对Web of Science、Scopus和ProQuest数据库进行了定量文献综述，搜索词包括“COVID-19”+“基于医疗物联网的临床决策支持系统”、“智能医疗可穿戴设备”和“机器学习算法”。COVID-19数据管理可以整合电子健康记录的实时分析(Akinbi等人，2021;Asadzadeh等人，2022;Rasheed等人，2021)，协助预防、筛查、检测、诊断和治疗。医疗物联网驱动的远程监控系统可以提供深入的个性化医疗数据收集、分析、处理和诊断。
{"title":"Internet of Medical Things-based Clinical Decision Support Systems, Smart Healthcare Wearable Devices, and Machine Learning Algorithms in COVID-19 Prevention, Screening, Detection, Diagnosis, and Treatment","authors":"Roman Hrosova Lenka Collier Janet Blazek","doi":"10.22381/ajmr9120225","DOIUrl":"https://doi.org/10.22381/ajmr9120225","url":null,"abstract":"Keywords: smart healthcare wearable device;COVID-19;Internet of Medical Things 1.Introduction The purpose of our systematic review is to examine the recently published literature on COVID-19 prevention, screening, detection, diagnosis, and treatment and integrate the insights it configures on Internet of Medical Things-based clinical decision support systems, smart healthcare wearable devices, and machine learning algorithms. 3.Methodology Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Medical Things-based clinical decision support systems,\" \"smart healthcare wearable devices,\" and \"machine learning algorithms.\" COVID-19 data management can integrate real-time analysis of electronic health records (Akinbi et al., 2021;Asadzadeh et al., 2022;Rasheed et al., 2021), assisting in prevention, screening, detection, diagnosis, and treatment. Internet of Medical Things-driven remote monitoring systems can provide in-depth individualized healthcare data collection, analysis, processing, and diagnosis.","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68352653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this systematic review is to synthesize and analyze Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks in COVID-19 detection and diagnosis. Keywords: COVID-19;Internet of Medical Things;wireless body area network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 detection and diagnosis, and integrate the insights it configures on Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), remote monitoring of patients in Internet of Medical Things (section 4), wireless body area networks and wearable Internet of Things-enabled smart devices (section 5), Internet of Medical Things-assistive technologies, data mining techniques, and decision support systems (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10). 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Medical Things-driven remote monitoring systems," "big healthcare data analytics," and "wireless body area networks."
本系统综述的目的是综合分析医疗物联网驱动的远程监控系统、医疗大数据分析和无线体域网络在COVID-19检测和诊断中的应用。关键词:新冠肺炎;医疗物联网;无线体域网络本次系统综述的目的是梳理近期发表的关于COVID-19检测诊断的文献，并整合其在医疗物联网驱动的远程监控系统、医疗大数据分析和无线体域网络等方面配置的见解。全文组织如下:理论概述(第2节)、方法(第3节)、医疗物联网中患者的远程监控(第4节)、无线体域网络和可穿戴物联网智能设备(第5节)、医疗物联网辅助技术、数据挖掘技术和决策支持系统(第6节)、讨论(第7节)、主要研究成果概述(第8节)、结论(第9节)、局限性、意义、以及进一步的研究方向(第10节)。3.整个2022年1月，我们对Web of Science、Scopus和ProQuest数据库进行了定量文献综述，搜索词包括“COVID-19”+“医疗物联网驱动的远程监控系统”、“大医疗数据分析”和“无线身体区域网络”。
{"title":"Internet of Medical Things-driven Remote Monitoring Systems, Big Healthcare Data Analytics, and Wireless Body Area Networks in COVID-19 Detection and Diagnosis","authors":"John Hudson","doi":"10.22381/ajmr9120226","DOIUrl":"https://doi.org/10.22381/ajmr9120226","url":null,"abstract":"The aim of this systematic review is to synthesize and analyze Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks in COVID-19 detection and diagnosis. Keywords: COVID-19;Internet of Medical Things;wireless body area network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 detection and diagnosis, and integrate the insights it configures on Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), remote monitoring of patients in Internet of Medical Things (section 4), wireless body area networks and wearable Internet of Things-enabled smart devices (section 5), Internet of Medical Things-assistive technologies, data mining techniques, and decision support systems (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10). 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Medical Things-driven remote monitoring systems,\" \"big healthcare data analytics,\" and \"wireless body area networks.\"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68352741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual Patient Diagnosis and Treatment, Networked Medical Devices, and Artificial Intelligence-based Diagnostic Algorithms in the Healthcare Metaverse and Immersive 3D Worlds","authors":"","doi":"10.22381/ajmr92202210","DOIUrl":"https://doi.org/10.22381/ajmr92202210","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual Healthcare Visits, Wearable Devices and Ambient Sensors, and Biomedical Big Data in the Metaverse Environment","authors":"","doi":"10.22381/ajmr9220225","DOIUrl":"https://doi.org/10.22381/ajmr9220225","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite the relevance of Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks in COVID-19 prevention, screening, and treatment, only limited research has been conducted on this topic. Throughout January 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including "COVID-19" + "Internet of Things-based health monitoring systems," "artificial intelligence-driven diagnostic algorithms," and "body area sensor networks." Keywords: Internet of Medical Things;COVID-19;body area sensor network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 prevention, screening, and treatment, and integrate the insights it configures on Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks. Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability. 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Things-based health monitoring systems," "artificial intelligence-driven diagnostic algorithms," and "body area sensor networks." Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability.
尽管基于物联网的健康监测系统、人工智能驱动的诊断算法和身体区域传感器网络在COVID-19的预防、筛查和治疗中具有相关性，但对此主题的研究却非常有限。在整个2022年1月，我对Web of Science、Scopus和ProQuest数据库进行了定量文献综述，搜索词包括“COVID-19”+“基于物联网的健康监测系统”、“人工智能驱动的诊断算法”和“身体区域传感器网络”。关键词:医疗物联网;COVID-19;体区传感器网络我的系统综述的目的是研究最近发表的关于COVID-19预防、筛查和治疗的文献，并整合其对基于物联网的健康监测系统、人工智能驱动的诊断算法和身体区域传感器网络的见解。医疗传感器设备采集的敏感生理数据可用于COVID-19预防、临床观察、可视化数据分析、患者诊断、接触者追踪和干预流程，优化医疗物联网系统互操作性。3.在整个2022年1月，我们对Web of Science、Scopus和ProQuest数据库进行了定量文献综述，搜索词包括“COVID-19”+“基于物联网的健康监测系统”、“人工智能驱动的诊断算法”和“身体区域传感器网络”。医疗传感器设备采集的敏感生理数据可用于COVID-19预防、临床观察、可视化数据分析、患者诊断、接触者追踪和干预流程，优化医疗物联网系统互操作性。
{"title":"Internet of Things-based Health Monitoring Systems, Artificial Intelligence-driven Diagnostic Algorithms, and Body Area Sensor Networks in COVID-19 Prevention, Screening, and Treatment","authors":"Peter Bowles","doi":"10.22381/ajmr9120228","DOIUrl":"https://doi.org/10.22381/ajmr9120228","url":null,"abstract":"Despite the relevance of Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks in COVID-19 prevention, screening, and treatment, only limited research has been conducted on this topic. Throughout January 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including \"COVID-19\" + \"Internet of Things-based health monitoring systems,\" \"artificial intelligence-driven diagnostic algorithms,\" and \"body area sensor networks.\" Keywords: Internet of Medical Things;COVID-19;body area sensor network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 prevention, screening, and treatment, and integrate the insights it configures on Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks. Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability. 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Things-based health monitoring systems,\" \"artificial intelligence-driven diagnostic algorithms,\" and \"body area sensor networks.\" Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability.","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wireless Biomedical Sensing Devices, Virtual Care Technologies, and Ambient Intelligence Algorithms in Metaverse-based Healthcare Monitoring Systems","authors":"","doi":"10.22381/ajmr9220228","DOIUrl":"https://doi.org/10.22381/ajmr9220228","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metaverse Healthcare Data, Smart Wearable Sensing Systems, and Immersive 3D Experiences in Virtual Diagnostic Environments","authors":"","doi":"10.22381/ajmr9220222","DOIUrl":"https://doi.org/10.22381/ajmr9220222","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Healthcare Diagnosis and Treatment in the Metaverse: Remote Sensing Algorithms, Networked Wearable Devices, and Virtual Patient Data","authors":"","doi":"10.22381/ajmr9220223","DOIUrl":"https://doi.org/10.22381/ajmr9220223","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Immersive Metaverse Experiences in Decentralized 3D Virtual Clinical Spaces: Artificial Intelligence-driven Diagnostic Algorithms, Wearable Internet of Medical Things Sensor Devices, and Healthcare Modeling and Simulation Tools","authors":"","doi":"10.22381/ajmr9220226","DOIUrl":"https://doi.org/10.22381/ajmr9220226","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation and Virtualization Technologies, Artificial Intelligence Diagnostic Tools, and Metaverse Healthcare Systems in 3D Immersive Environments","authors":"","doi":"10.22381/ajmr9220221","DOIUrl":"https://doi.org/10.22381/ajmr9220221","url":null,"abstract":"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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