An algorithm for actigraphy-based sleep/wake scoring: Comparison with polysomnography

Lüdtke, Stefan; Hermann, W.; Kirste, Thomas; Beneŝ, Heike; Teipel, Stefan J.

doi:10.1016/j.clinph.2020.10.019

Cited by 23 publications

(10 citation statements)

References 37 publications

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“…Both sleep variables estimated by actigraphy differed significantly from those measured by the smartphone sleep diary. The actigraphy-based estimates of NA and TST were all within the range of those reported in a recent study comparing different algorithms [ 37 ]. In insomniacs, estimated TSTs are typically shorter if measured by diary than by polysomnography [ 38 ], contrary to the findings in the current study.…”

Section: Discussionsupporting

confidence: 79%

Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study

Matre

Sirnes

Goffeng

et al. 2022

IJERPH

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Shift work may increase the risk for hypertension and arterial stiffness, potentially a consequence of disturbed sleep. The aim of this study was to investigate possible correlations between sleep length and spontaneous awakenings with selected cardiovascular risk factors in shift workers at an industrial plant. We examined 19 shift workers by means of blood pressure and arterial stiffness, measured as pulse wave velocity (PWV), prior to and after a 5-week shift period. Sleep patterns were monitored on a daily basis with the assistance of a smartphone-based sleep diary (the entire test period) and by actigraphy (limited to 2 weeks). The number of awakenings and total sleep time were calculated. Shorter sleep duration was associated with higher blood pressure and partly with higher PWV, indicating an increased risk of cardiovascular disease (CVD) with reduced sleep duration. Unexpectedly, a lower number of awakenings was associated with an increase in blood pressure, indicating a reduced risk of CVD. No other significant associations were determined. The results from the present study among shift workers in Norway could support the hypothesis that short sleep duration is associated with elevated blood pressure and arterial stiffness.

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Section: Discussionsupporting

confidence: 79%

Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study

Matre

Sirnes

Goffeng

et al. 2022

IJERPH

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“…Furthermore, we did not compare the performance of the spectral slope and neural complexity to other potentially powerful biomarkers. Therefore, it would be interesting to see how accurate sleep stages can be scored exclusively by means of the slope or complexity and how these two markers perform in comparison to other indices of sleep depth like heart rate variability and blood pressure (Kuula & Pesonen, 2021; Mitsukura et al, 2020; Radha et al, 2019; van de Borne et al, 1994) or accelerometric data from actigraphy (Lüdtke et al, 2021; Sadeh et al, 1989) and multisensor consumer-wearables (Ameen et al, 2019; Boe et al, 2019; Roberts et al, 2020; Tal et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Spectral slope and Lempel-Ziv complexity as robust markers of brain states during sleep and wakefulness

Höhn

Hahn

Lendner

et al. 2022

Preprint

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Spectral slope and neural complexity are affected in many neurophysiological disorders such as ADHD, autism or epilepsy and are modulated by sleep, anesthesia, and aging. Yet, the relationship between these two parameters remains unclear. Here, we evaluated the effects of sleep stage and task demands on spectral slope and neural complexity within a narrow- (30 - 45Hz) and broadband (3 - 45Hz) frequency range in 28 healthy male adults (21.54 ± 1.90 years) over three consecutive recordings with a set of different tasks (resting, attention and memory). We show that the slope steepens, and complexity decreases from wakefulness to N3 sleep. Importantly, slope and complexity are not only modulated by sleep but also differ between tasks, with flatter slopes and higher complexity being associated with more demanding tasks. While the slope and complexity are strongly correlated within 3 - 45Hz, we observe a functional dissociation in the 30 - 45Hz range. Critically, only the narrowband slope is steepest during REM sleep and associated with better task performance, especially in a Go/Nogo task. Our results demonstrate that both markers are powerful indices of sleep depth, task demand and cognitive performance. However, depending on the frequency range, they provide distinct information about the underlying brain state.

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“…Many studies consequently have focused on validating actigraphs and commercial smartwatches against PSG. Mantua et al [ 16 ], for example, found no difference between a research-based actigraph and PSG in total-sleep-time and sleep efficiency (see also Lüdtke et al [ 17 ]), but as expected, actigraphy performed poorer on a more finely grained analysis of sleep stages. Similar conclusions have been recently drawn by others who evaluated the performance of commercial smartwatches against PSG, pointing out that although the consumer-grade wearable devices are not yet appropriate for quantifying sleep at high resolution or identifying sleep stages over the night, they still allow adequate estimates of sleep/wake distributions [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 90%

Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep

Topalidis

Florea

Eigl

et al. 2021

Sensors

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The purpose of the present study was to evaluate the performance of a low-cost commercial smartwatch, the Xiaomi Mi Band (MB), in extracting physical activity and sleep-related measures and show its potential use in addressing questions that require large-scale real-time data and/or intercultural data including low-income countries. We evaluated physical activity and sleep-related measures and discussed the potential application of such devices for large-scale step and sleep data acquisition. To that end, we conducted two separate studies. In Study 1, we evaluated the performance of MB by comparing it to the GT3X (ActiGraph, wGT3X-BT), a scientific actigraph used in research, as well as subjective sleep reports. In Study 2, we distributed the MB across four countries (Austria, Germany, Cuba, and Ukraine) and investigated physical activity and sleep among these countries. The results of Study 1 indicated that MB step counts correlated highly with the scientific GT3X device, but did display biases. In addition, the MB-derived wake-up and total-sleep-times showed high agreement with subjective reports, but partly deviated from GT3X predictions. Study 2 revealed similar MB step counts across countries, but significant later wake-up and bedtimes for Ukraine than the other countries. We hope that our studies will stimulate future large-scale sensor-based physical activity and sleep research studies, including various cultures.

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An algorithm for actigraphy-based sleep/wake scoring: Comparison with polysomnography

Cited by 23 publications

References 37 publications

Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study

Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study

Spectral slope and Lempel-Ziv complexity as robust markers of brain states during sleep and wakefulness

Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep

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