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      KCI등재 SCIE SCOPUS

      Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices

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      https://www.riss.kr/link?id=A105481955

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      다국어 초록 (Multilingual Abstract)

      Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for prevention, diagnosis, treatment, and follow-up management at any time or any place by connecting information technologies and healthcare. As a significant breakthrough in smart healthcare development, IoT-enabled smart devices allow medical centers to carry out preventive care, diagnosis, and treatment more competently. This review focuses on recently developed patient health monitoring platforms based on IoT-enabled smart devices that can collect real-time patient data and transfer information for assessment by healthcare providers, including doctors, hospitals, and clinics, or for self-management. We aimed to summarize the available information about recently approved devices and state-of-the-art developments through a comprehensive, systematic literature review. In this review, we also discuss possible future directions for the integration of cloud computing and blockchain, which may offer unprecedented breakthroughs in on-demand medical services. The combination of IoT with real-time, remote patient monitoring empowers patients to assert more control over their care, thereby allowing them to actively monitor their particular health conditions.
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      Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for...

      Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for prevention, diagnosis, treatment, and follow-up management at any time or any place by connecting information technologies and healthcare. As a significant breakthrough in smart healthcare development, IoT-enabled smart devices allow medical centers to carry out preventive care, diagnosis, and treatment more competently. This review focuses on recently developed patient health monitoring platforms based on IoT-enabled smart devices that can collect real-time patient data and transfer information for assessment by healthcare providers, including doctors, hospitals, and clinics, or for self-management. We aimed to summarize the available information about recently approved devices and state-of-the-art developments through a comprehensive, systematic literature review. In this review, we also discuss possible future directions for the integration of cloud computing and blockchain, which may offer unprecedented breakthroughs in on-demand medical services. The combination of IoT with real-time, remote patient monitoring empowers patients to assert more control over their care, thereby allowing them to actively monitor their particular health conditions.

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      참고문헌 (Reference)

      1 Lukowicz P, "Wearable computing and artificial intelligence for healthcare applications" 42 : 95-98, 2008

      2 "Wearable Technologies [Internet]" Wearable Technologies AG

      3 IBM, "Watson health: get the facts [Internet]" IBM

      4 Eidam S, "Ubiquitous healthcare - Do the health and information technology sectors converge?" 14 : 1750039-, 2017

      5 Oh SY, "Towards ubiquitous health with convergence" 24 : 411-413, 2016

      6 Mack H, "Thirty-six connected health apps and devices the FDA cleared in 2016. MobiHealthNews [Internet]"

      7 Polonsky WH, "The impact of continuous glucose monitoring on markers of quality of life in adults with type 1 diabetes: further findings from the DIAMOND randomized clinical trial" 40 : 736-741, 2017

      8 Steinhubl SR, "The emerging field of mobile health" 7 : 283rv3-, 2015

      9 Xu BY, "The design of an m-Health monitoring system based on a cloud computing platform" 11 : 17-36, 2017

      10 Schoenberger CR, "The Internet of things" 169 : 155-160, 2002

      1 Lukowicz P, "Wearable computing and artificial intelligence for healthcare applications" 42 : 95-98, 2008

      2 "Wearable Technologies [Internet]" Wearable Technologies AG

      3 IBM, "Watson health: get the facts [Internet]" IBM

      4 Eidam S, "Ubiquitous healthcare - Do the health and information technology sectors converge?" 14 : 1750039-, 2017

      5 Oh SY, "Towards ubiquitous health with convergence" 24 : 411-413, 2016

      6 Mack H, "Thirty-six connected health apps and devices the FDA cleared in 2016. MobiHealthNews [Internet]"

      7 Polonsky WH, "The impact of continuous glucose monitoring on markers of quality of life in adults with type 1 diabetes: further findings from the DIAMOND randomized clinical trial" 40 : 736-741, 2017

      8 Steinhubl SR, "The emerging field of mobile health" 7 : 283rv3-, 2015

      9 Xu BY, "The design of an m-Health monitoring system based on a cloud computing platform" 11 : 17-36, 2017

      10 Schoenberger CR, "The Internet of things" 169 : 155-160, 2002

      11 El-Miedany Y, "Telehealth and telemedicine: how the digital era is changing standard health care" 4 : 43-51, 2017

      12 Park J, "Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays" 4 : eaap9841-, 2018

      13 Chu MX, "Soft contact lens biosensor for in situ monitoring of tear glucose as non-invasive blood sugar assessment" 83 : 960-965, 2011

      14 Ra M, "Smartphone-based point-of-care urinalysis under variable illumination" 6 : 2800111-, 2017

      15 Koshy AN, "Smart watches for heart rate assessment in atrial arrhythmias" 266 : 124-127, 2018

      16 Choi J, "Skin-interfaced systems for sweat collection and analytics" 4 : eaar3921-, 2018

      17 Wang X, "Self-referenced smartphone-based nanoplasmonic imaging platform for colorimetric biochemical sensing" 89 : 611-615, 2017

      18 Wang HR, "Research on medical-health cloud computing technology based on big data" 118 : 46-, 2016

      19 Vegesna A, "Remote patient monitoring via non-invasive digital technologies: a systematic review" 23 : 3-17, 2017

      20 Cluff K, "Passive wearable skin patch sensor measures limb hemodynamics based on electromagnetic resonance" 65 : 847-856, 2018

      21 Jalal UM, "Paper-plastic hybrid microfluidic device for smartphone-based colorimetric analysis of urine" 89 : 13160-13166, 2017

      22 Harrison V, "Mobile mental health: review of the emerging field and proof of concept study" 20 : 509-524, 2011

      23 Lu H, "Maximizing information diffusion in the cyber-physical integrated network" 15 : 28513-28530, 2015

      24 Giansanti D, "Introduction of medical apps in telemedicine and ehealth: problems and opportunities" 23 : 773-776, 2017

      25 Lasi H, "Industry 4.0" 6 : 239-242, 2014

      26 Jayaram NM, "Impact of telemonitoring on health status" 10 (10): 2017

      27 Noah B, "Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials" 1 : 20172-, 2018

      28 Reeder B, "Health at hand: a systematic review of smart watch uses for health and wellness" 63 : 269-276, 2016

      29 Gao W, "Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis" 529 : 509-514, 2016

      30 "Fifty-one connected health products the FDA cleared in 2017. MobiHealthNews [Internet]"

      31 Jia W, "Electrochemical tattoo biosensors for real-time noninvasive lactate monitoring in human perspiration" 85 : 6553-6560, 2013

      32 Moulin T, "E-Health - the internet of things and telemedicine" 20 : 58-64, 2016

      33 U.S. Food and Drug Administration, "Device classification under section 513(f)(2) (de novo)" U.S. Food and Drug Administration

      34 Parkin CG, "Continuous glucose monitoring use in type 1 diabetes: longitudinal analysis demonstrates meaningful improvements in HbA1c and reductions in health care utilization" 11 : 522-528, 2017

      35 Hossain MS, "Cloud-assisted industrial Internet of things (IIoT)-enabled framework for health monitoring" 101 : 192-202, 2016

      36 Morris D, "Biosensing textile based patch with integrated optical detection system for sweat monitoring" 139 : 231-236, 2009

      37 Kalid N, "Based real time remote health monitoring systems: a review on patients prioritization and related "big data" using body ensors information and communication technology" 42 : 30-, 2017

      38 Emaminejad S, "Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform" 114 : 4625-4630, 2017

      39 Jiang F, "Artificial intelligence in healthcare: past, present and future" 2 : 230-243, 2017

      40 "Artificial Intelligence Use in Healthcare Growing Fast" 88 : 76-, 2017

      41 Eskofier BM, "An overview of smart shoes in the internet of health things: gait and mobility assessment in health promotion and disease monitoring" 7 : app71100986-, 2017

      42 Matzeu G, "An integrated sensing and wireless communications platform for sensing sodium in sweat" 8 : 64-71, 2016

      43 Chang H, "A swellable microneedle patch to rapidly extract skin interstitial fluid for timely metabolic analysis" 29 : 2017

      44 Al-omari M, "A portable optical human sweat sensor" 116 : 183102-, 2014

      45 Lee H, "A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy" 11 : 566-572, 2016

      46 장원익, "A Flexible Skin Patch for Continuous Physiological Monitoring of Mental Disorders" 한국물리학회 71 (71): 462-466, 2017

      47 U.S. Food and Drug Administration, "510(k) Premarket Notification" U.S. Food and Drug Administration

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2012-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-04-30 학술지명변경 한글명 : 대한배뇨장애요실금학회지 -> International Neurourology Journal
      외국어명 : The Journal of Korean Continence Society -> International Neurourology Journal
      KCI등재
      2009-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-04-26 학술지명변경 한글명 : 대한배뇨장애 및 요실금학회지 -> 대한배뇨장애요실금학회지
      외국어명 : 미등록 -> The Journal of Korean Continence Society
      KCI등재후보
      2007-03-13 학회명변경 한글명 : 대한배뇨장애 및 요실금학회 -> 대한배뇨장애요실금학회 KCI등재후보
      2007-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2006-03-29 학술지명변경 한글명 : 대한배뇨장애 및 요실금학회지 Vol.5, No.1 -> 대한배뇨장애 및 요실금학회지 KCI등재후보
      2005-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.74 0.51 1.26
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.96 0.75 0.628 0.03
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