Criteria for Optimal Averaging of Cardiac Signals

摘要: The averaging process is modeled as a linear system whose low-pass filter characteristics are determined by the degree in temporal misalignment of signals. Assuming errors alignment successive cardiac cycles random, then model transfer function equivalent to probability density function. response step input distribution function, which can be readily quantified. To validate model, high resolution ECG amplifier and QRS recognition was constructed that synchronizes with point on QRS. Design criteria for optimal amplification, filtering, triggering determined. Test reveals close correspondence between observed predicted responses. From average response, recording fidelity any determined-rapidly while adjusted precision. Using signals from patients, our demonstrates both add subtract signal components. Methods estimating extent distortion induced well minimizing it presented.