Interesting Ideas How to Analyse Sleep and Physical Activity Data - Dr Christina Reynolds (Pt3)

Physical Activity Researcher

Christina Reynolds, PhD

Christina Reynolds received her Ph.D. in astrophysics from University College London and a Master's degree in software engineering from Harvard University. She has been a Data Scientist with ORCATECH with a focus on developing algorithms for the analysis of ORCATECH's large and diverse data set.

Much of her research career has involved developing software algorithms used to fabricate and test the optics for the European Extremely Large Telescope and the IRIS space telescope. At ORCATECH, she focused on designing a wide variety of algorithms for deriving information about life and health patterns from ORCATECH’s sensor data, including characterizing activity and sleep behaviors.

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This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle

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Collect self-report physical activity data easily and cost-effectively with Mimove.

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Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles.

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Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods.

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Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide.

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Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview.

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Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ".

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For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability.

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