Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

• Autores principales: Rong W. Zablocki (Autor), Sheri J. Hartman (Autor), Chongzhi Di (Autor), Jingjing Zou (Autor), Jordan A. Carlson (Autor), Paul R. Hibbing (Autor), Dori E. Rosenberg (Autor), Mikael Anne Greenwood-Hickman (Autor), Lindsay Dillon (Autor), Andrea Z. LaCroix (Autor), Loki Natarajan (Autor)
• Formato: Libro
• Publicado: BMC, 2024-04-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

Abstract Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify...