• DocumentCode
    232609
  • Title

    Circuit architectures reviews for portable ECG signal analyzer

  • Author

    Ooi Chip Pin ; Jambek, Asral Bahari ; Yaacob, Sazali

  • Author_Institution
    Sch. of Microelectron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    This paper discusses the circuit comparison of the electrocardiogram (ECG) heart rate detector for wearable biomedical devices. In this work, the QRS complex is used to calculate heart rate, representing the main component of the ECG signal. In order to achieve a high level of accuracy by the detector, the measured ECG signal must be free of noise. Typically, such noise originates from power line interferences and baseline wandering. To eliminate these noises, the ECG signal must be processed using the signal processing method. The ECG detection process can be divided into a preprocessing stage, which eliminates noise from the raw ECG signal, and the feature extraction stage, which extracts the QRS complex for heart rate calculation. Based on our analysis, the trade-off between complexity and accuracy in ECG signal architecture is important when designing a high-efficiency system.
  • Keywords
    bioelectric potentials; biomedical equipment; biomedical measurement; cardiovascular system; electrocardiography; feature extraction; medical computing; medical signal detection; medical signal processing; ECG detection method; ECG detection process; ECG dtection preprocessing stage; ECG heart rate detector; ECG signal measurement; ECG signal processing; QRS complex extraction; accurate ECG signal architecture; baseline wandering noise; circuit architectures reviews; complex ECG signal architecture; electrocardiogram heart rate detector; feature extraction stage; heart rate calculation; heart rate detector circuit comparison; high detector accuracy level; high-efficiency design; main ECG signal component; noise-free ECG signal; portable ECG signal analyzer; power line interference noise; raw ECG signal noise elimination; signal processing method; wearable biomedical devices; Accuracy; Computer architecture; Detectors; Electrocardiography; Monitoring; Noise; Wavelet transforms; ECG; Feature Extraction; Preprocessing; QRS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Design (ICED), 2014 2nd International Conference on
  • Conference_Location
    Penang
  • Type

    conf

  • DOI
    10.1109/ICED.2014.7015810
  • Filename
    7015810