Opal Actigraphy (Activity and Sleep) Measures Compared to ActiGraph: A Validation Study
Vrutangkumar V Shah1,2, Barbara H Brumbach3, Sean Pearson2
1Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
The new Opal Actigraphy solution accurately measures physical activity and sleep patterns, showing comparable performance to the established ActiGraph GT9X. This validation supports its use in health and fitness research.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Health Monitoring
Background:
- Physical activity and sleep monitoring are crucial for assessing health and fitness.
- Wearable actigraphy devices are widely used for objective measurement of these parameters.
- Validating new actigraphy solutions against established devices is essential for reliable data collection.
Purpose of the Study:
- To establish the concurrent validity of the Opal Actigraphy solution.
- To compare Opal Actigraphy's physical activity and sleep measurements with the ActiGraph GT9X.
- To assess the reliability of Opal Actigraphy in real-world settings.
Main Methods:
- Twenty participants wore both Opal Actigraphy and ActiGraph GT9X devices for 7 days.
- Three-dimensional accelerometry data were collected at 30 Hz.
- Statistical analyses included Bland-Altman plots and intraclass correlation coefficients (ICCs).
Main Results:
- Excellent reliability was found for physical activity measures between Opal and ActiGraph.
- Moderate-to-excellent reliability was observed for sleep measures.
- Performance was comparable between Opal and ActiGraph, with mean absolute percentage error within 10% for most measures.
Conclusions:
- Opal Actigraphy demonstrates concurrent validity and comparable performance to ActiGraph GT9X.
- The findings support the use of Opal Actigraphy for quantifying physical activity and monitoring sleep.
- Opal Actigraphy is suitable for application in research and clinical studies requiring accurate activity and sleep data.


