Analysis of multiscale entropy characteristics of heart rate variability in patients with permanent atrial fibrillation for predicting ischemic stroke risk

Ryo Matsuoka, Kohzoh Yoshino, Eiichi Watanabe, Ken Kiyono

研究成果: Conference contribution

抜粋

It has been reported that the complexity characteristics of heart rate variability (HRV) in patients with permanent atrial fibrillation (AFib) based on multiscale entropy (MSE) analysis are associated with ischemic stroke risk. However, the interpretation of HRV complexity is not clear and the mathematical and physical relationships between HRV and ischemic stroke have not been established. MSE is determined not only by the correlation characteristics but also by probability density function characteristics. The aim of this study was to clarify which characteristics were important for the association between MSE and ischemic stroke risk in patients with permanent AFib. We analyzed 24 hours of HRV data from 173 patients with permanent AFib. Results show that long-range correlations like 1/f fluctuations in a range greater than 90s were observed in HRV time series in patients with AFib, but that these values had no predictive power as an ischemic stroke risk factor. On the other hand, probability density functions of coarse-grained scales greater than 2s were significantly associated with ischemic stroke risk. These results suggest that probability density functions are a useful risk factor for improving ischemic stroke risk assessment. To investigate the probability density function characteristics more in detail, we analyzed the asymmetric non-Gaussian properties of the probability distribution of HRV data. Part of this study was published in the journal Entropy [1].

元の言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
編集者Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
出版者Institute of Electrical and Electronics Engineers Inc.
ページ数1
ISBN(電子版)9781538654880
DOI
出版物ステータスPublished - 21-01-2019
イベント2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
継続期間: 03-12-201806-12-2018

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Spain
Madrid
期間03-12-1806-12-18

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics

これを引用

Matsuoka, R., Yoshino, K., Watanabe, E., & Kiyono, K. (2019). Analysis of multiscale entropy characteristics of heart rate variability in patients with permanent atrial fibrillation for predicting ischemic stroke risk. : H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (版), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 [8621178] (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621178