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Related Experiment Videos

Circadian rhythm estimation by core body temperature filtered with simultaneously recorded physiological data

T Nakano1, E Koyama, T Imai

  • 1Home Appliance R & D Laboratory, Matsushita Electric Works Ltd., Osaka, Japan. toshio@peg.mew.co.jp

Methods of Information in Medicine
|February 21, 1998
PubMed
Summary

Physical activity can distort core body temperature measurements. This study designed a filter using heart rate data to remove activity-induced artifacts, improving circadian rhythm estimation in field studies.

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Chronobiology

Background:

  • Core body temperature monitoring during physical activity is prone to artifacts.
  • Activity-induced noise can lead to inaccurate circadian rhythm estimations.
  • Simultaneous physiological data, like heart rate, can indicate physical exertion.

Purpose of the Study:

  • To design a core body temperature filter to mitigate artifacts from physical activity.
  • To improve the accuracy of circadian rhythm estimation in field settings.
  • To utilize simultaneously recorded heart rate data for artifact detection.

Main Methods:

  • Assessed the effects of physical activity on core body temperature and heart rate through three experiments.
  • Designed a filter that identifies and removes temperature data artifacts based on heart rate thresholds.

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  • Applied the filter to rectal temperature data collected during physical activities.

    • Main Results:

    • The developed filter effectively removed spike-like noise from core body temperature data.
    • Filtered temperature data exhibited more pronounced sinusoidal variations compared to unfiltered data.
    • The mesor (midline estimating statistic of rhythm) of the estimated circadian rhythm significantly decreased after filtering.

    Conclusions:

    • The designed core body temperature filter successfully reduces artifacts caused by physical activity.
    • This method enhances the precision of circadian rhythm analysis, particularly in field measurements.
    • Utilizing heart rate data provides a reliable indicator for artifact removal in temperature monitoring.