APA (7th ed.) Citation

Zablocki, R. W., Hartman, S. J., Di, C., Zou, J., Carlson, J. A., Hibbing, P. R., . . . Natarajan, L. (2024). Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors. The international journal of behavioral nutrition and physical activity, 21(1), 48. https://doi.org/10.1186/s12966-024-01585-8

Chicago Style (17th ed.) Citation

Zablocki, Rong W., et al. "Using Functional Principal Component Analysis (FPCA) to Quantify Sitting Patterns Derived from Wearable Sensors." The International Journal of Behavioral Nutrition and Physical Activity 21, no. 1 (2024): 48. https://doi.org/10.1186/s12966-024-01585-8.

MLA (9th ed.) Citation

Zablocki, Rong W., et al. "Using Functional Principal Component Analysis (FPCA) to Quantify Sitting Patterns Derived from Wearable Sensors." The International Journal of Behavioral Nutrition and Physical Activity, vol. 21, no. 1, 2024, p. 48, https://doi.org/10.1186/s12966-024-01585-8.