Literature DB >> 24442593

Alternatives to polysomnography (PSG): a validation of wrist actigraphy and a partial-PSG system.

Anastasi Kosmadopoulos1, Charli Sargent, David Darwent, Xuan Zhou, Gregory D Roach.   

Abstract

The objective of this study was to assess the validity of a sleep/wake activity monitor, an energy expenditure activity monitor, and a partial-polysomnography system at measuring sleep and wake under identical conditions. Secondary aims were to evaluate the sleep/wake thresholds for each activity monitor and to compare the three devices. To achieve these aims, two nights of sleep were recorded simultaneously with polysomnography (PSG), two activity monitors, and a partial-PSG system in a sleep laboratory. Agreement with PSG was evaluated epoch by epoch and with summary measures including total sleep time (TST) and wake after sleep onset (WASO). All of the devices had high agreement rates for identifying sleep and wake, but the partial-PSG system was the best, with an agreement of 91.6% ± 5.1%. At their best thresholds, the sleep/wake monitor (medium threshold, 87.7% ± 7.6%) and the energy expenditure monitor (very low threshold, 86.8% ± 8.6%) had similarly high rates of agreement. The summary measures were similar to those determined by PSG, but the partial-PSG system provided the most consistent estimates. Although the partial-PSG system was the most accurate device, both activity monitors were also valid for sleep estimation, provided that appropriate thresholds were selected. Each device has advantages, so the primary consideration for researchers will be to determine which best suits a given research design.

Mesh:

Year:  2014        PMID: 24442593     DOI: 10.3758/s13428-013-0438-7

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  24 in total

1.  Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis.

Authors:  Samantha Conley; Andrea Knies; Janene Batten; Garrett Ash; Brienne Miner; Youri Hwang; Sangchoon Jeon; Nancy S Redeker
Journal:  Sleep Med Rev       Date:  2019-05-13       Impact factor: 11.609

2.  Relation between ambulatory actigraphy and laboratory polysomnography in insomnia practice and research.

Authors:  Dana Withrow; Thomas Roth; Gail Koshorek; Timothy Roehrs
Journal:  J Sleep Res       Date:  2019-04-02       Impact factor: 3.981

3.  An unbiased, efficient sleep-wake detection algorithm for a population with sleep disorders: change point decoder.

Authors:  Ayse S Cakmak; Giulia Da Poian; Adam Willats; Ammer Haffar; Rami Abdulbaki; Yi-An Ko; Amit J Shah; Viola Vaccarino; Donald L Bliwise; Christopher Rozell; Gari D Clifford
Journal:  Sleep       Date:  2020-08-12       Impact factor: 5.849

4.  Improving Sleep Quality Assessment Using Wearable Sensors by Including Information From Postural/Sleep Position Changes and Body Acceleration: A Comparison of Chest-Worn Sensors, Wrist Actigraphy, and Polysomnography.

Authors:  Javad Razjouyan; Hyoki Lee; Sairam Parthasarathy; Jane Mohler; Amir Sharafkhaneh; Bijan Najafi
Journal:  J Clin Sleep Med       Date:  2017-11-15       Impact factor: 4.062

5.  Sleep Parameter Assessment Accuracy of a Consumer Home Sleep Monitoring Ballistocardiograph Beddit Sleep Tracker: A Validation Study.

Authors:  Jarno Tuominen; Karoliina Peltola; Tarja Saaresranta; Katja Valli
Journal:  J Clin Sleep Med       Date:  2019-03-15       Impact factor: 4.062

6.  Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review.

Authors:  Jonathan Craven; Danielle McCartney; Ben Desbrow; Surendran Sabapathy; Phillip Bellinger; Llion Roberts; Christopher Irwin
Journal:  Sports Med       Date:  2022-06-16       Impact factor: 11.928

7.  Sleep Measurement Using Wrist-Worn Accelerometer Data Compared with Polysomnography.

Authors:  John D Chase; Michael A Busa; John W Staudenmayer; John R Sirard
Journal:  Sensors (Basel)       Date:  2022-07-04       Impact factor: 3.847

8.  Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography.

Authors:  Janna Mantua; Nickolas Gravel; Rebecca M C Spencer
Journal:  Sensors (Basel)       Date:  2016-05-05       Impact factor: 3.576

9.  Firefighters' Physical Activity across Multiple Shifts of Planned Burn Work.

Authors:  Stephanie E Chappel; Brad Aisbett; Grace E Vincent; Nicola D Ridgers
Journal:  Int J Environ Res Public Health       Date:  2016-09-30       Impact factor: 3.390

10.  Measuring sleep quality in older adults: a comparison using subjective and objective methods.

Authors:  Glenn J Landry; John R Best; Teresa Liu-Ambrose
Journal:  Front Aging Neurosci       Date:  2015-09-07       Impact factor: 5.750

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