個人化された指標に基づく心拍変動の状態分類-二分木の最適化

• 伊藤 俊樹

  法政大学大学院　理工学研究科　応用情報工学専攻

• 水谷 拓郎

  法政大学大学院　理工学研究科　応用情報工学専攻

• 八名 和夫

  法政大学大学院　理工学研究科　応用情報工学専攻

書誌事項

タイトル別名

• Heart rate variability classification based on personalized frequency domain indices

抄録

Heart rate variabilities have been utilized as means to assess the autonomic activity. However, large individual variations prevent from consistent quantitative interpretation. This paper introduces personalized indices to concur the difficulty. Drug induced (Atropine and Propranolol) distinct physiologic states have been made and ECG data were obtained from 14 normal subjects. Personalized relative indices rLF, rHF, rLF/rHF, rMF and average/variance of HR have been utilized for the classification. An improved dichotomous classification scheme achieved average classification sensitivity of 0.91 and specificity 0.97 showing the effectiveness of proposed personalized indices.

収録刊行物

• 生体医工学

  生体医工学 54Annual (26AM-Abstract), S64-S64, 2016

  公益社団法人 日本生体医工学会

詳細情報

• CRID: 1390001205267387904
• NII論文ID: 130005285173
• DOI: 10.11239/jsmbe.54annual.s64
• ISSN: 18814379
• ISSN: 1347443X
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可