Literature DB >> 24495222

Comparison of a novel non-contact biomotion sensor with wrist actigraphy in estimating sleep quality in patients with obstructive sleep apnoea.

Michael Pallin1, Emer O'Hare, Alberto Zaffaroni, Patricia Boyle, Ciara Fagan, Brian Kent, Conor Heneghan, Philip de Chazal, Walter T McNicholas.   

Abstract

Ambulatory monitoring is of major clinical interest in the diagnosis of obstructive sleep apnoea syndrome. We compared a novel non-contact biomotion sensor, which provides an estimate of both sleep time and sleep-disordered breathing, with wrist actigraphy in the assessment of total sleep time in adult humans suspected of obstructive sleep apnoea syndrome. Both systems were simultaneously evaluated against polysomnography in 103 patients undergoing assessment for obstructive sleep apnoea syndrome in a hospital-based sleep laboratory (84 male, aged 55 ± 14 years and apnoea-hypopnoea index 21 ± 23). The biomotion sensor demonstrated similar accuracy to wrist actigraphy for sleep/wake determination (77.3%: biomotion; 76.5%: actigraphy), and the biomotion sensor demonstrated higher specificity (52%: biomotion; 34%: actigraphy) and lower sensitivity (86%: biomotion; 94%: actigraphy). Notably, total sleep time estimation by the biomotion sensor was superior to actigraphy (average overestimate of 10 versus 57 min), especially at a higher apnoea-hypopnoea index. In post hoc analyses, we assessed the improved apnoea-hypopnoea index accuracy gained by combining respiratory measurements from polysomnography for total recording time (equivalent to respiratory polygraphy) with total sleep time derived from actigraphy or the biomotion sensor. Here, the number of misclassifications of obstructive sleep apnoea severity compared with full polysomnography was reduced from 10/103 (for total respiratory recording time alone) to 7/103 and 4/103 (for actigraphy and biomotion sensor total sleep time estimate, respectively). We conclude that the biomotion sensor provides a viable alternative to actigraphy for sleep estimation in the assessment of obstructive sleep apnoea syndrome. As a non-contact device, it is suited to longitudinal assessment of sleep, which could also be combined with polygraphy in ambulatory studies.
© 2014 European Sleep Research Society.

Entities:  

Keywords:  ambulatory; microarousals; motionless wakefulness; portable monitor; sleep estimation

Mesh:

Year:  2014        PMID: 24495222     DOI: 10.1111/jsr.12126

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  7 in total

1.  Response to letter on "Validation study on sleep parameters by actigraphy for normal subjects".

Authors:  Conor Heneghan
Journal:  Sleep Breath       Date:  2014-05-09       Impact factor: 2.816

2.  Discrepancy between wrist-actigraph and polysomnographic measures of sleep in patients with stable heart failure and a novel approach to evaluating discrepancy.

Authors:  Sangchoon Jeon; Samantha Conley; Nancy S Redeker
Journal:  J Sleep Res       Date:  2018-06-25       Impact factor: 3.981

3.  Combination mode of physiological signals for diagnosis of OSAS using portable monitor.

Authors:  Peng Jiang; Rong Zhu; Xiaosong Dong; Yuan Chang
Journal:  Sleep Breath       Date:  2017-07-26       Impact factor: 2.816

4.  Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Systematic Review, Meta-Analysis, and GRADE Assessment.

Authors:  Michael T Smith; Christina S McCrae; Joseph Cheung; Jennifer L Martin; Christopher G Harrod; Jonathan L Heald; Kelly A Carden
Journal:  J Clin Sleep Med       Date:  2018-07-15       Impact factor: 4.062

Review 5.  Sleep Disturbances and Atopic Dermatitis: Relationships, Methods for Assessment, and Therapies.

Authors:  Fatima Bawany; Carrie A Northcott; Lisa A Beck; Wilfred R Pigeon
Journal:  J Allergy Clin Immunol Pract       Date:  2020-12-13

6.  Validation of Capturing Sleep Diary Data via a Wrist-Worn Device.

Authors:  Carla R Jungquist; John J Pender; Karen J Klingman; Jamie Mund
Journal:  Sleep Disord       Date:  2015-12-15

7.  Effects of sleep-inducing juice on sleep quality and heart rate variability in adults with disturbed sleep.

Authors:  Choun-Sub Kim; Maengkyu Kim; Min-Ju Kim; Hyeyoung Jung
Journal:  Nutr Res Pract       Date:  2020-08-05       Impact factor: 1.926

  7 in total

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