The purpose of this study is to develop statistical and informatics tools for analyzing and visualizing Actical™ (actigraphy) data linked to fatigue in Sleep Medicine Center patients.
An Actical™ is a watch-like device attached to the wrist that uses an accelerometer to measure movement nearly continuously over several days. The American Academy of Sleep Medicine practice parameters report that actigraphy is a useful tool for detecting sleep in healthy individuals, assessing specific aspects in insomnia and restless legs syndrome, circadian-rhythm disorders, and excessive sleepiness. Concurrent with these recommendations is an increased interest in the use of actigraphy as a tool for objectively measuring fatigue. With improved high-end statistical methods for analyzing this data, actigraphy has the potential to become more important as an objective diagnostic tool for determining fatigue, sleep abnormalities and assessing response to treatment.
Study Type
OBSERVATIONAL
Enrollment
635
Washington University Sleep Medicine Center
St Louis, Missouri, United States
Define an object oriented data model for actigraphy and patient level data.
Time frame: 6 months
Apply existing and develop new advanced statistical and visualization methods for actigraphy data and include them in the data model listed above.
Time frame: 6 months
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