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A simple algorithm for averaging multiple cycles of waveforms having varying cycle periods.

P H Abbrecht¹, I M Thio, R R Kyle

¹Department of Physiology and Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 209814-4799.

Computer Applications in the Biosciences : CABIOS

|October 1, 1991

Summary

This study introduces a novel method for averaging variable-period waveforms, preserving their essential shape. The technique converts time-based data into cycle-fraction data for accurate waveform analysis.

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Area of Science:

Biomedical Engineering
Signal Processing
Physiological Monitoring

Background:

Cyclical waveforms with varying periods are common in physiological signals.
Accurate averaging of such waveforms is crucial for reliable data analysis.
Existing methods may not adequately preserve waveform morphology.

Purpose of the Study:

To develop a simple and effective method for averaging cyclical waveforms with variable periods.
To ensure the preservation of waveform morphology during the averaging process.
To facilitate the integration of data acquisition and analysis for physiological research.

Main Methods:

A novel algorithm is presented for averaging waveforms with non-uniform cycle lengths.
Data is converted from a fixed time-per-point format to a fixed fraction-of-cycle format.
The ASYST system is utilized for efficient computation and integrated data handling.

Main Results:

The proposed method successfully averages multiple cycles while preserving waveform morphology.
Demonstrated effectiveness in processing cyclical waveforms from respiratory research.
The conversion to fraction-of-cycle data ensures accurate representation of waveform features.

Conclusions:

The developed method offers a robust approach for analyzing variable-period cyclical waveforms.
This technique enhances the accuracy of physiological signal analysis, particularly in respiratory research.
The ASYST system implementation streamlines the data acquisition and analysis workflow.