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Validating functional data analysis measures from 24-h actigraphy data

Publication ,  Journal Article
Lundeen, J; McCall, WV; Krystal, A; Looney, S
Published in: Biological Rhythm Research
September 3, 2018

The timing of sleep and wakefulness are under the influence of the circadian pacemaker in the suprachiasmatic nucleus, and the set-point for the circadian pacemaker is revealed by the time of onset of the secretion of melatonin under dim light conditions (DLMO). Measuring DLMO is time intensive and requires biochemical assays; hence it would be desirable to develop simpler alternatives to DLMO measurement that would otherwise provide similar information about health and illness. Continuous, multi-day measurement of actigraphy can be processed to reveal underlying features such as the time of greatest activity (acrophase), or the time of least activity (bathyphase). In this paper, we explore the calculation of the acrophase and bathyphase using a statistical approach called functional data analysis (FDA), and validated the FDA-calculated bathyphase by correlating it with morningness–eveningness self-reports from 47 depressed adults.

Duke Scholars

Published In

Biological Rhythm Research

DOI

EISSN

1744-4179

ISSN

0929-1016

Publication Date

September 3, 2018

Volume

49

Issue

5

Start / End Page

797 / 810

Related Subject Headings

  • Physiology
  • 3102 Bioinformatics and computational biology
  • 1116 Medical Physiology
  • 0601 Biochemistry and Cell Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lundeen, J., McCall, W. V., Krystal, A., & Looney, S. (2018). Validating functional data analysis measures from 24-h actigraphy data. Biological Rhythm Research, 49(5), 797–810. https://doi.org/10.1080/09291016.2018.1424771
Lundeen, J., W. V. McCall, A. Krystal, and S. Looney. “Validating functional data analysis measures from 24-h actigraphy data.” Biological Rhythm Research 49, no. 5 (September 3, 2018): 797–810. https://doi.org/10.1080/09291016.2018.1424771.
Lundeen J, McCall WV, Krystal A, Looney S. Validating functional data analysis measures from 24-h actigraphy data. Biological Rhythm Research. 2018 Sep 3;49(5):797–810.
Lundeen, J., et al. “Validating functional data analysis measures from 24-h actigraphy data.” Biological Rhythm Research, vol. 49, no. 5, Sept. 2018, pp. 797–810. Scopus, doi:10.1080/09291016.2018.1424771.
Lundeen J, McCall WV, Krystal A, Looney S. Validating functional data analysis measures from 24-h actigraphy data. Biological Rhythm Research. 2018 Sep 3;49(5):797–810.

Published In

Biological Rhythm Research

DOI

EISSN

1744-4179

ISSN

0929-1016

Publication Date

September 3, 2018

Volume

49

Issue

5

Start / End Page

797 / 810

Related Subject Headings

  • Physiology
  • 3102 Bioinformatics and computational biology
  • 1116 Medical Physiology
  • 0601 Biochemistry and Cell Biology