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      KCI등재후보

      Real-Time Remote-Health Monitoring Systems: a Review on Patients with Chronic Diseases

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      https://www.riss.kr/link?id=A108098763

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      다국어 초록 (Multilingual Abstract)

      The aging society are causing complicated problems from chronic diseases such as diabetes, heart disease in aged patients. Recently Covid pandemic swept across global aging societies and put aged people with chronic disease more vulnerable to mobidity...

      The aging society are causing complicated problems from chronic diseases such as diabetes, heart disease in aged patients. Recently Covid pandemic swept across global aging societies and put aged people with chronic disease more vulnerable to mobidity. Therefore, from view of preventive and precision medicine, remote monitoring an aged people with chronic disease is an important issue than ever. Smart health care systems as remote monitoring is so called telemetry system which enable doctors or health care providers to manage remotely to consult, diagnose and treat patients with chronic disease and infectious disease as well. The goal of telemetry system is to meet timely medical need in aged patients in distant place through communication technologies. Through technological breakthrough, particularly in real-time health care industry, Telemetry system with realtime mornitoring of heart rhythm and blood glucose level can play an important role in managing healthcare services in aged patients. This report introduces a comprehensive and inclusive review on the usefulness of realtime patiens monitoring with wearable sensors in telemedicine applications. The findings of this report are as follows: (1) The advantage of real-time monitoring and blood glucose level and biofeedback based on visual data (2) The advantage of realtime-monitoring heart rhythm coupled with blood glucose level. (3) There is an additional need to produce a digital imaging from protable diagnostic divices such as X-ray and ultrasound.

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      참고문헌 (Reference)

      1 Hollander, J. E., "Virtually Perfect? Telemedicine for Covid-19" 382 : 1679-1681, 2020

      2 Mjolstad OC, "Routinely adding ultrasound examinations by pocketsized ultrasound devices improves inpatient diagnostics in a medical department" 23 : 185-191, 2012

      3 Muthiah Vaduganathan, "Renin–Angiotensin–Aldosterone System Inhibitors in Patients with Covid-19" Massachusetts Medical Society 382 (382): 1653-1659, 2020

      4 Pleus S, "Rate-of-change dependence of the performance of two CGM systems during induced glucose swings" 9 : 801-807, 2015

      5 Salman, O. H., "Multi-sources data fusion framework for remote triage prioritization in telehealth" 38 (38): 103-, 2014

      6 Klimova, B., "Mobile health devices for aging population groups : A review study" 295-301, 2016

      7 Barbera, J. A., "Medical surge capacity and capability : A management system for integrating medical and health resources during large-scale emergencies" US Department of Health and Human Services 2004

      8 Mentrup D, "Iterative scatter correction for grid-less bedside chest radiography : performance for a chest phantom" 169 : 308-312, 2016

      9 Tsang J, "Improving vaccine induced immunity: can baseline predict outcome?"

      10 Mulvagh SL, "Handheld ultrasound devices and the training conundrum : how to get to seeing is believing" 27 : 310-313, 2014

      1 Hollander, J. E., "Virtually Perfect? Telemedicine for Covid-19" 382 : 1679-1681, 2020

      2 Mjolstad OC, "Routinely adding ultrasound examinations by pocketsized ultrasound devices improves inpatient diagnostics in a medical department" 23 : 185-191, 2012

      3 Muthiah Vaduganathan, "Renin–Angiotensin–Aldosterone System Inhibitors in Patients with Covid-19" Massachusetts Medical Society 382 (382): 1653-1659, 2020

      4 Pleus S, "Rate-of-change dependence of the performance of two CGM systems during induced glucose swings" 9 : 801-807, 2015

      5 Salman, O. H., "Multi-sources data fusion framework for remote triage prioritization in telehealth" 38 (38): 103-, 2014

      6 Klimova, B., "Mobile health devices for aging population groups : A review study" 295-301, 2016

      7 Barbera, J. A., "Medical surge capacity and capability : A management system for integrating medical and health resources during large-scale emergencies" US Department of Health and Human Services 2004

      8 Mentrup D, "Iterative scatter correction for grid-less bedside chest radiography : performance for a chest phantom" 169 : 308-312, 2016

      9 Tsang J, "Improving vaccine induced immunity: can baseline predict outcome?"

      10 Mulvagh SL, "Handheld ultrasound devices and the training conundrum : how to get to seeing is believing" 27 : 310-313, 2014

      11 Lion KC, "Effect of telephone vs video interpretation on parent comprehension, communication, and utilization in the pediatric emergency department" 169 (169): 1117-1125, 2015

      12 Chung, Y., "Design of a Wireless Sensor Network Platform for tele-homecare" 17156-17175, 2013

      13 Kiah, M. M., "Design and develop a video conferencing framework for real-time telemedicine applications using secure group-based communication architecture" 2014

      14 Wayne C. Koff, "Covid-19 and Immunity in Aging Populations" 383 : 804-805, 2020

      15 Voils CI, "Comparison of telephone and televideo modes for delivery of genetic counseling : a randomized trial" 27 (27): 339-348, 2018

      16 Sun, J., "BmHealth For Aging China : Opportunities and Challenges" 7 (7): 53-67, 2016

      17 B. Yu, "Bluetooth Low Energy (BLE) Based Mobile Electrocardiogram Monitoring System" 1-6, 2012

      18 Eisenhuber E, "Bedside chest radiography" 57 : 427-443, 2012

      19 AdemAlpaslam ALTUN, "A wireless sensor network based on Zigbee for ECG Monitoring" 1-5, 2011

      20 Damiano ER, "A comparative effectiveness analysis of three continuous glucose monitors : the Navigator, G4 Platinum, and Enlite" 8 : 699-708, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (계속평가)
      2020-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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