• DocumentCode
    2472884
  • Title

    A mixed signal ECG processing platform with an adaptive sampling ADC for portable monitoring applications

  • Author

    Kim, Hyejung ; Van Hoof, Chris ; Yazicioglu, Refet Firat

  • Author_Institution
    imec, Leuven, Belgium
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    2196
  • Lastpage
    2199
  • Abstract
    This paper describes a mixed-signal ECG processing platform with an 12-bit ADC architecture that can adapt its sampling rate according to the input signals rate of change. This enables the sampling of ECG signals with significantly reduced data rate without loss of information. The presented adaptive sampling scheme reduces the ADC power consumption, enables the processing of ECG signals with lower power consumption, and reduces the power consumption of the radio while streaming the ECG signals. The test results show that running a CWT-based R peak detection algorithm using the adaptively sampled ECG signals consumes only 45.6μW and it leads to 36% less overall system power consumption.
  • Keywords
    electrocardiography; medical signal processing; power consumption; adaptive sampling ADC; information loss; mixed signal ECG processing platform; portable monitoring; power consumption; sampling rate; Continuous wavelet transforms; Detection algorithms; Digital signal processing; Electrocardiography; Monitoring; Power demand; Signal processing algorithms; Algorithms; Analog-Digital Conversion; Diagnosis, Computer-Assisted; Electroencephalography; Equipment Design; Equipment Failure Analysis; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090414
  • Filename
    6090414