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

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.