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  • 标题:M-Health An Emerging Trend An Empirical Study
  • 本地全文:下载
  • 作者:Muhammed Fuzail Zubair ; Hajrah Jahan ; Dr. Sophia Rahaman andDr. Roma Raina
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2016
  • 卷号:6
  • 期号:2
  • 页码:167-174
  • DOI:10.5121/csit.2016.60215
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The advent and advancement in technology specific to medical field has seen a migration of itswork across the globe, adapting higher and newer levels of m-health. Technology has beensuccessful in transforming the way traditional monitoring and alert system work to a modernapproach wherein minimizing the need for physical monitoring. Today, the field of healthcareuse varied monitoring systems to monitor the health of patients using ubiquitous and nonubiquitousdevices. These are sensor based devices that can read vital signs of patients and sendthe data to the required personnel’s using mobile networks. This paper understands andanalyses how the monitoring and alert system works specific to m-health. m-health includingwearable and non-wearable devices read various vital signs and have the ability to monitorhealth real-time and transfer the information collected using mobile network. m-health hasbecome an useful tool for elderly in this fast paced world where almost all the family membersare working or studying to keep track and maintain optimal health status. m-health alert systeminvolves the patient, the caretaker and medical service provider wherein the patient wears thedevice and vital signs recorded are transferred the medical service provider who then analysesthe data collected and required changes in the medication are implemented. This paperproposes a medical alert system that enlightens the capabilities of m-health making healthmonitoring easy and reliable. It contains a three-level severity check and raises an alarm to thecaretaker, the physician or the ambulatory service provider.
  • 关键词:e-health; m-health; Wearable Wireless Sensor based Area Network; Data Mining.
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