Computer Science ›› 2016, Vol. 43 ›› Issue (2): 259-262.doi: 10.11896/j.issn.1002-137X.2016.02.054

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Research of Heart Rate Variable Analysis Based on Sliding Window Hurst

LV Tai-zhi   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats,and HRV analysis can be used as a diagnosis method for assessing the physiological and psychological states.Up to now,most HRV analyse have been done offline and only have being applied in clinical application and research.The paper proposed a real-time HRV signal sampling and analysis system based on Android platform.This system uses the IOIO board,Wifi or bluetooth to make a connection between Android devices and mobile or wearable health sensors.This paper used slide window based Hurst exponent series to analyze the sampling data.It uses two indices,the cumulative mean of Hurst series (CMHurst) and the cumulative standard deviation of Hurst series (CStdHurst),to estimate the heart health status.The indices were calculated from the windowed estimated Hurst series.To verify the validity of this method,the indices were tested by some databases from PhysioBank.The experiment results show this method can distinguish the groups who have normal rhythm or abnormal rhythm.

Key words: Heart rate variability(HRV),Hurst exponent,Sliding window,Long range dependent(LRD),Android platform

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