基于随机矩阵的PPG异常检测方法

Xuecheng Liu, Junsheng Yu
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引用次数: 0

摘要

针对PPG信号易受干扰的特点,提出了一种基于随机矩阵的PPG信号异常检测方法。该算法作为一种无监督方法,既能有效监测异常信号,又能定位PPG信号中的异常位置,避免了传统无监督异常检测不能适应大数据情况、数据要求高、数据检测一维等一系列缺点。结果表明,该方法对PPG信号异常检测具有较高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PPG Anomaly Detection Method Based on Random Matrix
Due to the characteristics of PPG signal vulnerable to interference, this paper proposes a PPG signal anomaly detection method based on random matrix. As an unsupervised method, this algorithm can not only effectively monitor abnormal signals, but also locate abnormal positions in PPG signals, avoiding a series of shortcomings of traditional unsupervised anomaly detection that cannot adapt to big data situations, high data requirements, and one-dimensional data detection. As a result,the proposed method, has high efficiency for PPG signal anomaly detection.
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