Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography

Background. Sleep disorders are frequent nonmotor symptoms of Parkinson’s disease (PD). Polysomnography (PSG) has been the gold standard for its assessment. However, it requires patients to stay overnight in a hospital or sleep center. The mobile two-channel electroencephalography (EEG)/electrooculo...

Full description

Saved in:
Bibliographic Details
Main Authors: Hiroshi Kataoka, Tsunenori Takatani, Kazuma Sugie
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Parkinson's Disease
Online Access:http://dx.doi.org/10.1155/2022/1888682
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832565589766307840
author Hiroshi Kataoka
Tsunenori Takatani
Kazuma Sugie
author_facet Hiroshi Kataoka
Tsunenori Takatani
Kazuma Sugie
author_sort Hiroshi Kataoka
collection DOAJ
description Background. Sleep disorders are frequent nonmotor symptoms of Parkinson’s disease (PD). Polysomnography (PSG) has been the gold standard for its assessment. However, it requires patients to stay overnight in a hospital or sleep center. The mobile two-channel electroencephalography (EEG)/electrooculography (EOG) recording system is a self-applicable and affordable method to objectively assess sleep at home. We aimed at evaluating patients with PD to confirm the difference in sleep parameters between the portable recording system and PSG. Methods. PSG and the portable recording system were simultaneously performed on a similar night in eight patients with PD. We compared the difference in sleep parameters between them using nonparametric tests. Results. All patients displayed a score of both PDSS −2 ≥ 15 and PSQI ≥ 5, respectively, which revealed poor sleep quality. There was no difference in the sleep parameters between the portable recording system and PSG, except for the percentage of sleep stage N3. Regarding the detection of REM sleep without atonia, we observed accordance between the portable recording system and PSG in six patients (P=0.686). Conclusions. The portable EEG/EOG recording system may gain an advantage from home-based evaluations for habitual sleep at home. Our study on device validation may contribute to measuring natural sleep, including rapid eye movement (REM) sleep behavioral disorder (RBD), in an outpatient care setting.
format Article
id doaj-art-78ac9258340c4e2dbe735c8e3e5c23ba
institution Kabale University
issn 2042-0080
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Parkinson's Disease
spelling doaj-art-78ac9258340c4e2dbe735c8e3e5c23ba2025-02-03T01:07:16ZengWileyParkinson's Disease2042-00802022-01-01202210.1155/2022/1888682Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of PolysomnographyHiroshi Kataoka0Tsunenori Takatani1Kazuma Sugie2Department of NeurologyDepartment of NeurologyDepartment of NeurologyBackground. Sleep disorders are frequent nonmotor symptoms of Parkinson’s disease (PD). Polysomnography (PSG) has been the gold standard for its assessment. However, it requires patients to stay overnight in a hospital or sleep center. The mobile two-channel electroencephalography (EEG)/electrooculography (EOG) recording system is a self-applicable and affordable method to objectively assess sleep at home. We aimed at evaluating patients with PD to confirm the difference in sleep parameters between the portable recording system and PSG. Methods. PSG and the portable recording system were simultaneously performed on a similar night in eight patients with PD. We compared the difference in sleep parameters between them using nonparametric tests. Results. All patients displayed a score of both PDSS −2 ≥ 15 and PSQI ≥ 5, respectively, which revealed poor sleep quality. There was no difference in the sleep parameters between the portable recording system and PSG, except for the percentage of sleep stage N3. Regarding the detection of REM sleep without atonia, we observed accordance between the portable recording system and PSG in six patients (P=0.686). Conclusions. The portable EEG/EOG recording system may gain an advantage from home-based evaluations for habitual sleep at home. Our study on device validation may contribute to measuring natural sleep, including rapid eye movement (REM) sleep behavioral disorder (RBD), in an outpatient care setting.http://dx.doi.org/10.1155/2022/1888682
spellingShingle Hiroshi Kataoka
Tsunenori Takatani
Kazuma Sugie
Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
Parkinson's Disease
title Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
title_full Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
title_fullStr Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
title_full_unstemmed Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
title_short Two-Channel Portable Biopotential Recording System Can Detect REM Sleep Behavioral Disorder: Validation Study with a Comparison of Polysomnography
title_sort two channel portable biopotential recording system can detect rem sleep behavioral disorder validation study with a comparison of polysomnography
url http://dx.doi.org/10.1155/2022/1888682
work_keys_str_mv AT hiroshikataoka twochannelportablebiopotentialrecordingsystemcandetectremsleepbehavioraldisordervalidationstudywithacomparisonofpolysomnography
AT tsunenoritakatani twochannelportablebiopotentialrecordingsystemcandetectremsleepbehavioraldisordervalidationstudywithacomparisonofpolysomnography
AT kazumasugie twochannelportablebiopotentialrecordingsystemcandetectremsleepbehavioraldisordervalidationstudywithacomparisonofpolysomnography