Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males
Here, we aimed to clarify the factors that cause individual differences in manual spindle detection during sleep by comparing it with automatic detection and to show the limitations of manual detection. Polysomnography (PSG) signals were recorded from ten young male participants, and sleep stages we...
| Главные авторы: | , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Frontiers Media S.A.
2024-11-01
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| Серии: | Frontiers in Sleep |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/articles/10.3389/frsle.2024.1427540/full |
| _version_ | 1826970388710555648 |
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| author | Yukari Tamamoto Yukari Tamamoto Tatsuro Fujie Kouichi Umimoto Hideo Nakamura |
| author_facet | Yukari Tamamoto Yukari Tamamoto Tatsuro Fujie Kouichi Umimoto Hideo Nakamura |
| author_sort | Yukari Tamamoto |
| collection | DOAJ |
| description | Here, we aimed to clarify the factors that cause individual differences in manual spindle detection during sleep by comparing it with automatic detection and to show the limitations of manual detection. Polysomnography (PSG) signals were recorded from ten young male participants, and sleep stages were classified based on these signals. Using time-frequency analysis, we detected sleep spindles from the single-channel electroencephalography (EEG) of C4-A1 within the same PSG data. Our results show a detailed accuracy evaluation by comparing the two skilled scorers' outputs of automatic and manual sleep spindle detection and differences between the number of sleep spindle detections and spindle time length. Additionally, based on automatic detection, the distribution of Cohen's kappa for each scorer quantitatively showed that individual scorers had detection thresholds based on EEG amplitude. Conventionally, automatic detection has been validated using manual detection outputs as the criterion. However, using automatic detection as the standard and analyzing the manual detection outputs, we quantitatively showcased the differences in individual scorers. Therefore, our method offers a quantitative approach to examining factors contributing to discrepancies in sleep spindle detection. However, individual differences cannot be avoided when using manual detection, and automatic detection is preferable when analyzing data to a certain standard. |
| first_indexed | 2025-02-18T04:47:56Z |
| format | Article |
| id | doaj.art-2bd0b03320a849b78c4c60fa0ccb3eaa |
| institution | Directory Open Access Journal |
| issn | 2813-2890 |
| language | English |
| last_indexed | 2025-02-18T04:47:56Z |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sleep |
| spelling | doaj.art-2bd0b03320a849b78c4c60fa0ccb3eaa2024-11-18T04:24:17ZengFrontiers Media S.A.Frontiers in Sleep2813-28902024-11-01310.3389/frsle.2024.14275401427540Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult malesYukari Tamamoto0Yukari Tamamoto1Tatsuro Fujie2Kouichi Umimoto3Hideo Nakamura4Division of Biomedical Engineering, Graduate School of Biomedical Engineering, Osaka Electro-Communication University, Osaka, JapanClinical Engineering Department, Osaka Gyoumeikan Hospital, Osaka, JapanDepartment of Clinical Engineering, Faculty of Medical Science Technology, Morinomiya University of Medical Sciences, Osaka, JapanDepartment of Medical Sciences, Faculty of Biomedical Engineering, Osaka Electro-Communication University, Osaka, JapanDepartment of Health Promotion and Sports Science, Faculty of Biomedical Engineering, Osaka Electro- Communication University, Osaka, JapanHere, we aimed to clarify the factors that cause individual differences in manual spindle detection during sleep by comparing it with automatic detection and to show the limitations of manual detection. Polysomnography (PSG) signals were recorded from ten young male participants, and sleep stages were classified based on these signals. Using time-frequency analysis, we detected sleep spindles from the single-channel electroencephalography (EEG) of C4-A1 within the same PSG data. Our results show a detailed accuracy evaluation by comparing the two skilled scorers' outputs of automatic and manual sleep spindle detection and differences between the number of sleep spindle detections and spindle time length. Additionally, based on automatic detection, the distribution of Cohen's kappa for each scorer quantitatively showed that individual scorers had detection thresholds based on EEG amplitude. Conventionally, automatic detection has been validated using manual detection outputs as the criterion. However, using automatic detection as the standard and analyzing the manual detection outputs, we quantitatively showcased the differences in individual scorers. Therefore, our method offers a quantitative approach to examining factors contributing to discrepancies in sleep spindle detection. However, individual differences cannot be avoided when using manual detection, and automatic detection is preferable when analyzing data to a certain standard.https://www.frontiersin.org/articles/10.3389/frsle.2024.1427540/fullsleep EEGsleep spindlemanual detectiondiscrepancies between individualsautomatic detection |
| spellingShingle | Yukari Tamamoto Yukari Tamamoto Tatsuro Fujie Kouichi Umimoto Hideo Nakamura Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males Frontiers in Sleep sleep EEG sleep spindle manual detection discrepancies between individuals automatic detection |
| title | Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males |
| title_full | Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males |
| title_fullStr | Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males |
| title_full_unstemmed | Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males |
| title_short | Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males |
| title_sort | factors affecting discrepancies between scorers in manual sleep spindle detections in single channel electroencephalography in young adult males |
| topic | sleep EEG sleep spindle manual detection discrepancies between individuals automatic detection |
| url | https://www.frontiersin.org/articles/10.3389/frsle.2024.1427540/full |
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