基于android平台的心电信号实时特征提取

Pankaj K. Gakare, Abhilasha M. Patel, Jignesh R. Vaghela, R. Awale
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引用次数: 23

摘要

作为检测心脏异常的标准预防性心脏病程序,动态心脏监测已成为当今重要的场景。本系统是在Android智能手机上实现的。心率变异性(HRV)分析是众所周知的提供自主心率调节机制的信息。为了避免错误的结论,在心电图中只显示窦性心律是非常重要的。因此,需要对RR区间时间序列进行预处理。本文提出了一种先进的自动算法对正常心电信号的RR区间进行预处理。采用动态心电图仪和MIT-BIH数据库对该算法进行了验证。因此,所提出的算法将人工数据检查限制到绝对最低限度,并允许可靠的HRV分析。
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Real time feature extraction of ECG signal on android platform
Ambulatory cardiac monitoring has become an important scenario nowadays as a standard preventive cardiological procedure for detection of cardiac abnormalities. In the proposed system it is achieved with the Android smart phone. Heart rate variability (HRV) analysis is well known to give information about the autonomic heart rate modulation mechanism. In order to avoid erroneous conclusions, it is of utmost importance that only sinus rhythms are present in the cardiogram. Therefore, preprocessing of the RR interval time series is necessary. This paper presents an advanced automated algorithm to preprocess RR intervals obtained from a normal ECG. Validation of this algorithm was performed on recorded ECG signals by holter recorder and MIT-BIH database. The proposed algorithm therefore restricts the manual data check to the absolute minimum and allows a reliable HRV analysis.
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