• DocumentCode
    3699167
  • Title

    An algorithm for evaluating the ECG signal quality in 12 lead ECG monitoring system

  • Author

    Yue Zhang;Zhongjie Hou

  • Author_Institution
    Laboratory of Embedded Systems and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
  • fYear
    2015
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    ECG signal quality is of great importance to real-time electrocardiogram(ECG) monitoring system. The paper introduces a new algorithm to evaluate the ECG signal quality. This algorithm is based on three features: heart rate score, spectral distribution ratio, and the variance between 12-lead ECG data. The result show that the proposed algorithm has a high Sensitivity of 95%, Specificity of 86.7%, and the Accuracy is 93.1%. The new algorithm is fast, accurate and reliable, showing strong potential to be applied in real-time ECG monitoring system.
  • Keywords
    "Electrocardiography","Heart rate","Lead","Accuracy","Monitoring","Neural networks","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339095
  • Filename
    7339095
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3699167