• DocumentCode
    1456524
  • Title

    A Fast and Easy-to-Use ECG Acquisition and Heart Rate Monitoring System Using a Wireless Steering Wheel

  • Author

    Gómez-Clapers, Joan ; Casanella, Ramon

  • Author_Institution
    Dept. of Electron. Eng., Univ. Politec. de Catalunya (UPC), Castelldefels, Spain
  • Volume
    12
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    610
  • Lastpage
    616
  • Abstract
    This work presents a novel easy-to-use system intended for the fast and noninvasive monitoring of the Lead I electrocardiogram (ECG) signal by using a wireless steering wheel. The system uses a dual ground electrode configuration connected to a low-power analog front-end to reduce 50/60 Hz interference and it is able to show a stable ECG signal with good enough quality for monitoring purposes in less than 5 s. A novel heart rate detection algorithm based on the continuous wavelet transform has been implemented, which is specially designed to be robust against the most common sources of noise and interference present when acquiring the ECG in the hands, i.e., electromyographic (EMG) noise and baseline wandering. The algorithm shows acceptable performance even under non-ordinary high levels of EMG noise and yields a positive predictivity value of 100.00% and a sensitivity of 99.75% when tested in normal use with subjects of different age, gender, and physical condition.
  • Keywords
    biomedical electrodes; electrocardiography; electromyography; medical signal detection; noise; patient monitoring; wavelet transforms; ECG acquisition; ECG signal; EMG noise; continuous wavelet transform; dual ground electrode configuration; electromyographic noise; heart rate detection algorithm; heart rate monitoring system; interference; lead I electrocardiogram signal; low-power analog front-end; noninvasive monitoring; wireless steering wheel; Electrocardiography; Electrodes; Electromyography; Monitoring; Noise; Wheels; Wireless communication; Body sensor network; electrocardiogram (ECG); electromyografic (EMG) noise; wavelet transform;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2011.2118201
  • Filename
    5719147