Examination of wrist and hip actigraphy using a novel sleep estimation procedure

Meredith A. Ray, Shawn Youngstedt, Hongmei Zhang, Sara Wagner Robb, Brook E. Harmon, Girardin Jean-Louis, Bo Cai, Thomas G. Hurley, James R. Hébert, Richard K. Bogan, James B. Burch

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Objective: Improving and validating sleep scoring algorithms for actigraphs enhances their usefulness in clinical and research applications.The MTI® device(ActiGraph, Pensacola, FL) had not been previously validated for sleep. The aims were to(1)compare the accuracy of sleep metrics obtained via wrist - and hip-mounted MTI® actigraphs with polysomnographic (PSG) recordings in a sample that included both normal sleepers and individual swith presumed sleep disorders; and (2) develop a novel sleep scoring algorithm using spline regression to improve the correspondence between the actigraphs and PSG. Methods: Original actigraphy data were amplified and their pattern was estimated using a penalized spline. The magnitude of amplification and the spline were estimated by minimizing the difference in sleep efficiency between wrist-(hip-)actigraphs and PSG recordings. Sleep measures using both the original and spline-modified actigraphy data were compared to PSG using the following: mean sleep summary measures; Spearman rank-order correlations of summary measures; percent of minute-by-minute agreement; sensitivity and specificity; and Bland–Altmanplots. Results: The original wrist actigraphy data showed modest correspondence with PSG, and much less correspondence was found between hip actigraphy and PSG. The spline-modified.

Original languageEnglish (US)
Pages (from-to)74-81
Number of pages8
JournalSleep Science
Issue number2
StatePublished - 2014


  • Actigraphy
  • Penalized spline
  • Polysomnography

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Medicine (miscellaneous)
  • Behavioral Neuroscience


Dive into the research topics of 'Examination of wrist and hip actigraphy using a novel sleep estimation procedure'. Together they form a unique fingerprint.

Cite this