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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 36, 2019 - Issue 12
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Original Articles

Performance comparison of different interpretative algorithms utilized to derive sleep parameters from wrist actigraphy data

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Pages 1752-1760 | Received 27 Sep 2019, Accepted 09 Oct 2019, Published online: 28 Oct 2019

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Read on this site (6)

Chenlu Gao, Peng Li, Christopher J Morris, Xi Zheng, Ma Cherrysse Ulsa, Lei Gao, Frank AJL Scheer & Kun Hu. (2022) Actigraphy-Based Sleep Detection: Validation with Polysomnography and Comparison of Performance for Nighttime and Daytime Sleep During Simulated Shift Work. Nature and Science of Sleep 14, pages 1801-1816.
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Tine Almenning Flaa, Bjørn Bjorvatn, Ståle Pallesen, Jo Røislien, Erik Zakariassen, Anette Harris & Siri Waage. (2021) Subjective and objective sleep among air ambulance personnel. Chronobiology International 38:1, pages 129-139.
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Sangchoon Jeon, Samantha Conley & Nancy S. Redeker. (2020) Rest-activity rhythms, daytime symptoms, and functional performance among people with heart failure. Chronobiology International 37:8, pages 1223-1234.
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Xinyue Li, Yunting Zhang, Fan Jiang & Hongyu Zhao. (2020) A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy. Chronobiology International 37:7, pages 1002-1015.
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Michael H. Smolensky, Shahab Haghayegh, Sepideh Khoshnevis & Kenneth R. Diller. (2020) Does before-bedtime body warming by bathing or other means attenuate sleep-time arterial blood pressure?. Chronobiology International 37:1, pages 146-149.
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Shahab Haghayegh, Sepideh Khoshnevis, Michael H. Smolensky, Kenneth R. Diller & Richard J. Castriotta. (2020) Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages. Chronobiology International 37:1, pages 47-59.
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Articles from other publishers (17)

Chenlu Gao, Shahab Haghayegh, Max Wagner, Ruixue Cai, Kun Hu, Lei Gao & Peng Li. (2023) Approaches for Assessing Circadian Rest-Activity Patterns Using Actigraphy in Cohort and Population-Based Studies. Current Sleep Medicine Reports 9:4, pages 247-256.
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Gal Eylon, Liat Tikotzky & Ilan Dinstein. (2023) Performance evaluation of Fitbit Charge 3 and actigraphy vs. polysomnography: Sensitivity, specificity, and reliability across participants and nights. Sleep Health 9:4, pages 407-416.
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Guodong Liu, Yuyang Zhang, Wei Zhang, Xu Wu, Hui Jiang & Xiansheng Zhang. (2023) Validation of the relationship between rapid eye movement sleep and sleep‐related erections in healthy adults by a feasible instrument Fitbit Charge2. Andrology.
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Bobak J. Mortazavi, Josefa L. Martinez-Brockman, Baylah Tessier-Sherman, Matthew Burg, Mary Miller, Zhale Nowroozilarki, O. Peter Adams, Rohan Maharaj, Cruz M. Nazario, Maxine Nunez, Marcella Nunez-Smith & Erica S. Spatz. (2023) Classification of blood pressure during sleep impacts designation of nocturnal nondipping. PLOS Digital Health 2:6, pages e0000267.
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Shahab Haghayegh, Kun Hu, Katie Stone, Susan Redline & Eva Schernhammer. (2023) Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study. Journal of Medical Internet Research 25, pages e40211.
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Jesse David Cook, Andrea Cuamatzi Castelan & Phil Cheng. 2023. Encyclopedia of Sleep and Circadian Rhythms. Encyclopedia of Sleep and Circadian Rhythms 16 29 .
Konstantin V. Danilenko, Oliver Stefani, Kirill A. Voronin, Marina S. Mezhakova, Ivan M. Petrov, Mikhail F. Borisenkov, Aleksandr A. Markov & Denis G. Gubin. (2022) Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review. Applied Sciences 12:22, pages 11794.
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Seyedfakhreddin NabaviJohn CoganAsim RoyBrandon CanfieldRobert KiblerCollin Emerick. (2022) Sleep Monitoring with Intraorally Measured Photoplethysmography (PPG) Signals. Sleep Monitoring with Intraorally Measured Photoplethysmography (PPG) Signals.
Benjamin Stucky, Ian Clark, Yasmine Azza, Walter Karlen, Peter Achermann, Birgit Kleim & Hans-Peter Landolt. (2021) Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study. Journal of Medical Internet Research 23:10, pages e26476.
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Vini Vijayan, James P. Connolly, Joan Condell, Nigel McKelvey & Philip Gardiner. (2021) Review of Wearable Devices and Data Collection Considerations for Connected Health. Sensors 21:16, pages 5589.
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Hanne Siri Amdahl Heglum, Håvard Kallestad, Daniel Vethe, Knut Langsrud, Trond Sand & Morten Engstrøm. (2021) Distinguishing sleep from wake with a radar sensor: a contact-free real-time sleep monitor. SLEEP 44:8.
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Syed Anas Imtiaz. (2021) A Systematic Review of Sensing Technologies for Wearable Sleep Staging. Sensors 21:5, pages 1562.
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Tommaso Banfi, Nicolò Valigi, Marco di Galante, Paola d’Ascanio, Gastone Ciuti & Ugo Faraguna. (2021) Efficient embedded sleep wake classification for open-source actigraphy. Scientific Reports 11:1.
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Shahab Haghayegh, Sepideh Khoshnevis, Michael H. Smolensky, Kenneth R. Diller & Richard J. Castriotta. (2020) Deep Neural Network Sleep Scoring Using Combined Motion and Heart Rate Variability Data. Sensors 21:1, pages 25.
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Shahab Haghayegh, Sepideh Khoshnevis, Michael H. Smolensky & Kenneth R. Diller. (2020) Application of deep learning to improve sleep scoring of wrist actigraphy. Sleep Medicine 74, pages 235-241.
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Shahab Haghayegh, Hyeon-Ah Kang, Sepideh Khoshnevis, Michael H Smolensky & Kenneth R Diller. (2020) A comprehensive guideline for Bland–Altman and intra class correlation calculations to properly compare two methods of measurement and interpret findings. Physiological Measurement 41:5, pages 055012.
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Shahab Haghayegh, Sepideh Khoshnevis, Michael H Smolensky, Kenneth R Diller & Richard J Castriotta. (2019) Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 21:11, pages e16273.
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