• DocumentCode
    1715357
  • Title

    Integrating physical activity detection in heart rate variability and cardiac arrhythmia analysis

  • Author

    Hsiao-Lung Chan ; Ming-Hung Hsu ; Wen-Yen Hsu ; Wei-Kang Hsu ; Szi-Wen Chen

  • Author_Institution
    Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Electrocardiogram (ECG) has been widely used in clinical diagnosis of cardiac arrhythmia. In particular, real-time detection of lethal cardiac arrhythmia such as ventricular tachycardia and ventricular fibrillation is important for patients with cardiovascular diseases. In addition, ST deviation during exercise indicates insufficient blood supply or infarction in myocardium, and autonomic imbalance implied from heart rate variability is associated with the mortality. However, physical activity (PA) usually confuses these interpretations. In this study, PA-related ECG analyses and real-time implementation on mobile devices will be addressed. Incorporating PA into ECG analysis not only avoids the confounding interpretation caused by PA, but also provides a way to probe cardiac functions during different PAs.
  • Keywords
    blood; cardiovascular system; diseases; electrocardiography; medical signal processing; smart phones; PA-related ECG analysis; autonomic imbalance; blood supply; cardiac functions; cardiovascular diseases; clinical diagnosis; electrocardiogram; heart rate variability; infarction; lethal cardiac arrhythmia analysis; mobile devices; mortality; myocardium; physical activity detection; real-time detection; real-time implementation; ventricular fibrillation; ventricular tachycardia; Acceleration; Educational institutions; Electrocardiography; Fibrillation; Heart rate variability; Real-time systems; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0433-4
  • Type

    conf

  • DOI
    10.1109/ICICS.2013.6782957
  • Filename
    6782957