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Coherent average technique--a tutorial review.

H G Goovaerts1, O Rompelman

  • 1Department of Medical Physics, Medical Faculty, Free University, Amsterdam, The Netherlands.

Journal of Biomedical Engineering
|July 1, 1991
PubMed
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High-resolution analog-to-digital conversion is crucial for averaging weak signals like the HIS bundle electrogram. This minimizes quantization noise and avoids increasing the number of averaging cycles needed for accurate results.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Electrophysiology

Background:

  • Averaging signals is essential for resolving weak electrophysiological data.
  • Digitization introduces quantization noise, impacting signal averaging accuracy.
  • Weak signals, such as the HIS bundle electrogram, are particularly susceptible to noise.

Purpose of the Study:

  • To evaluate the impact of digitization on signal averaging.
  • To determine the required resolution for analog-to-digital (A/D) conversion when averaging weak signals.
  • To analyze the role of low-pass filtering in conjunction with A/D conversion.

Main Methods:

  • Assessed the effect of quantization noise on the number of averaging cycles.
  • Investigated the relationship between numerical range, filter order, cut-off frequency, and sampling frequency.

Related Experiment Videos

  • Formulated requirements for high-resolution A/D conversion and adequate low-pass filtering.
  • Main Results:

    • High-resolution A/D conversion is necessary to prevent a significant increase in averaging cycles for weak signals.
    • Quantization noise directly impacts the efficiency of signal averaging.
    • Established relationships between A/D conversion parameters and low-pass filter characteristics.

    Conclusions:

    • Optimizing A/D conversion resolution and low-pass filtering is critical for accurate weak signal averaging.
    • Adequate digitization prevents substantial increases in averaging cycles, improving efficiency.
    • The findings are vital for improving electrophysiological signal analysis.