• DocumentCode
    2636098
  • Title

    Context-aware HRV analysis system

  • Author

    Ji, Lianying ; Wu, Jiankang ; Yang, Yuanjing ; Wang, Shaofeng ; Li, Aiguang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    1050
  • Lastpage
    1055
  • Abstract
    With the availability of ubiquitous healthcare based on wireless sensor network, heart rate variability (HRV) analysis, as a valuable evaluation tool of cardiovascular mortality should be utilized more pervasively and accurately. We propose a ubiquitous HRV analysis system using people´s daily life heart monitor data. The system consists of a sensor node recording electrocardiography (ECG) and acceleration signals, a processing node which does online processing and local storage, and a central server for storage, monitoring and data mining. The transmission of data between them is wireless. Data representation, storage, retrieval and processing are discussed. Planned inner/inter person data mining is also introduced. Experimental results verified the basic system functions and the research idea.
  • Keywords
    cardiovascular system; data mining; electrocardiography; medical signal processing; patient monitoring; signal representation; wireless sensor networks; ECG; acceleration signals; cardiovascular mortality; context-aware HRV analysis system; data mining; data representation; data retrieval; data storage; heart rate variability; online processing; processing node; sensor node recording electrocardiography; ubiquitous healthcare; wireless sensor network; Acceleration; Biomedical monitoring; Context; Electrocardiography; Heart rate variability; Monitoring; Context-aware processin; HRV analysis system; Pervasive healthcare; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975742
  • Filename
    5975742