Development of multiscale analysis of biosignal time series

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K01285
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Biomedical engineering/Biomaterial science and engineering
• Research Institution: Osaka University
• Principal Investigator: Kiyono Ken 大阪大学, 基礎工学研究科, 教授 (40434071)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 多重スケール解析 / 生体信号解析 / 心拍変動

Outline of Final Research Achievements

To analyze biosignal time series, fundamental theory and practical analysis methodology of the multiscale analysis were developed. As an important application of multiscale analysis methods, the long-range correlation analysis has been widely used. In this study, we developed a unified theory of detrending-operation-based random-walk analysis characterizing the long-range correlation observed in biosignal time series. As a practical detrending-operation, we established properties of Savitzky-Golay filter and developed a fast algorithm of the detrending-operation-based random-walk analysis using Savitzky-Golay filter. Moreover, as an application of the multiscale analysis to heart rate variability, we demonstrated that the multiscale analysis is applicable to cerebral infarction risk assessment and mortality risk assessment of cardiac patients.

Free Research Field

生体信号処理