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Literature DB >> 34931683

Initial proof of concept that a consumer wearable can be used for real-time rest-activity rhythm monitoring.

Stephen F Smagula^1,2, Sarah T Stahl¹, Robert T Krafty³, Daniel J Buysse¹.

Abstract

Entities: Chemical

Mesh：

Year: 2022 PMID： 34931683 PMCID： PMC8919194 DOI： 10.1093/sleep/zsab288

Source DB: PubMed Journal: Sleep ISSN： 0161-8105 Impact factor: 6.313

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References

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12 in total

1. Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women.

Authors: Gregory J Tranah; Terri Blackwell; Katie L Stone; Sonia Ancoli-Israel; Misti L Paudel; Kristine E Ensrud; Jane A Cauley; Susan Redline; Teresa A Hillier; Steven R Cummings; Kristine Yaffe
Journal: Ann Neurol Date: 2011-11 Impact factor: 10.422

Review 2. The effect of training at a specific time of day: a review.

Authors: Hamdi Chtourou; Nizar Souissi
Journal: J Strength Cond Res Date: 2012-07 Impact factor: 3.775

3. Increased light exposure consolidates sleep and strengthens circadian rhythms in severe Alzheimer's disease patients.

Authors: Sonia Ancoli-Israel; Philip Gehrman; Jennifer L Martin; Tamar Shochat; Matthew Marler; Jody Corey-Bloom; Leah Levi
Journal: Behav Sleep Med Date: 2003 Impact factor: 2.964

4. The sigmoidally transformed cosine curve: a mathematical model for circadian rhythms with symmetric non-sinusoidal shapes.

Authors: Matthew R Marler; Philip Gehrman; Jennifer L Martin; Sonia Ancoli-Israel
Journal: Stat Med Date: 2006-11-30 Impact factor: 2.373

10. Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device.

Authors: Olivia Walch; Yitong Huang; Daniel Forger; Cathy Goldstein
Journal: Sleep Date: 2019-12-24 Impact factor: 5.849

Initial proof of concept that a consumer wearable can be used for real-time rest-activity rhythm monitoring.

1. Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women.

Review 2. The effect of training at a specific time of day: a review.

3. Increased light exposure consolidates sleep and strengthens circadian rhythms in severe Alzheimer's disease patients.

4. The sigmoidally transformed cosine curve: a mathematical model for circadian rhythms with symmetric non-sinusoidal shapes.

5. Circadian rest-activity rhythms predict future increases in depressive symptoms among community-dwelling older men.

6. Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

7. Interpersonal and social rhythm therapy: a means of improving depression and preventing relapse in bipolar disorder.

8. An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

9. Predicting circadian phase across populations: a comparison of mathematical models and wearable devices.

10. Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device.