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Evaluation of Drowsiness by HRV Measures : Proposal of prediction method of low arousal state

https://hiroshima.repo.nii.ac.jp/records/2000883
https://hiroshima.repo.nii.ac.jp/records/2000883
56363a87-6773-42d9-a85c-3005f06e7d3d
名前 / ファイル ライセンス アクション
B1210.pdf B1210.pdf (1011.0 KB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル Evaluation of Drowsiness by HRV Measures : Proposal of prediction method of low arousal state
言語 en
作成者 Murata, Atsuo

× Murata, Atsuo

en Murata, Atsuo

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Hiramatsu, Yasutaka

× Hiramatsu, Yasutaka

en Hiramatsu, Yasutaka

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 (c) Copyright by IEEE SMC Hiroshima Chapter.
主題
主題Scheme NDC
主題 500
内容記述
内容記述 The aim of this study was to propose a useful prediction method of drowsy state of drivers, so that the result is applicable to the development of ITS (Intelligent Transportation System) that can warn drivers of their low arousal state and to prevent driving under low arousal level from occurring. The EEG (electroencephalography) and ECG (electrocardiography) during a monotonous task was measured, and it was investigated how these measures change under the low arousal (drowsy) state. The EEG measurement was added to in order to monitor arousal level more the time series of mean power frequency of EEG was plotted on X-bar control chart. Heart rate variability (HRV) measure RRV3 were derived on the basis of R-R intervals (interbeat intervals) obtained from ECG. Using a Bayesian probability, we tried to predict the timing when the participant actually felt drowsy. As a result, the prediction accuracy differed by the state of participant. When the drowsiness of participant was remarkable, the prediction method was effective to some extent. On the other hand, the proposed method could not predict the drowsy state reliably when the participant did not feel drowsiness to a larger extent.
言語 en
出版者
出版者 IEEE SMC Hiroshima Chapter
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
関連情報
識別子タイプ URI
関連識別子 http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1883-3977
開始ページ
開始ページ 348
書誌情報 5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009

p. 348-353, 発行日 2009-11
旧ID 28475
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