Deriving Sleep Parameters from Sleep/Wake Patterns - Motionlogger

Deriving Sleep Parameters from Sleep/Wake Patterns - Motionlogger

Following our previous post on deriving sleep/wake patterns from the acceleration data of Motionlogger, in this article, we give a brief demonstration of how the various sleep parameters are derived.

Dec 11, 2022
By Drs Francis Hsu, Han-Ping Huang and Andrew Ahn
Deriving Sleep Parameters - Motionlogger

Abstract

Following our previous post on deriving sleep/wake patterns from the acceleration data of Motionlogger, this article gives a brief demonstration of how the various sleep parameters are derived according to a detailed-written paper proposed by Fekedulegn et al. [1].

1. Deriving Sleep Parameters from Sleep/Wake Patterns

Figure 1 shows the sleep/wake patterns derived from Motionlogger, as introduced in a previous post. Some important sleep events are labeled, such as bedtime, get-up time, sleep onset, sleep offset, and wake episodes. Motionlogger has an event marker button for users to record when they go to bed (Bed Time) and get out of bed (Get Up Time). Sleep onset is the starting time point of the first continuous block of at least 20 min of sleep with no more than 1 min of interruption and sleep offset as the last minute the subject was scored asleep before getting out of bed [1].

Sleep schedule and labels of important events
Figure 1. Sleep schedule and labels of important events

Table 1 then illustrates the resulting 7 sleep parameters, which are usually adopted in a sleep report. 

In addition to these 7 commonly used parameters, Fekedulegn et al. introduced another 22 parameters with detailed algorithms with examples in an Excel file [1].

Table of seven commonly used sleep parameters
Table 1. Seven commonly used sleep parameters

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2. References

[1] D. Fekedulegn, M. E. Andrew, M. Shi, J. M. Violanti, S. Knox, and K. E. Innes, "Actigraphy-based assessment of sleep parameters," Annals of Work Exposures and Health, vol. 64, no. 4, pp. 350-367, 2020.

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Dr. Francis Hsu, PhD
Dr. Francis Hsu, PhD
Research Lead

Francis is a research Lead at Labfront, responsible for data validation and analysis. He is interested in applying physics or math to medical research.

Dr. Han-Ping Huang, PhD
Dr. Han-Ping Huang, PhD
Research Lead

Research Lead (and Designated Plant Caretaker) at Labfront. Han-Ping is a researcher who seeks interesting phenomena, especially the interdisciplinary ones. His dream is to make all the riveting research be easily explored.

Dr. Andrew Ahn
Dr. Andrew Ahn
Chief Medical/Science Officer

Dr. Ahn is an internal medicine physician with a background in physics/engineering and physiological signal analyses. He is the Chief Medical Officer at Labfront and an Assistant Professor in Medicine & Radiology at Harvard Medical School. Dr. Ahn is passionate about democratizing health sciences and exploring health from an anti-disciplinary perspective.

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