Abstract: With a comprehensive analysis on R-wave detection matching degree, power spectral density ratio and kurtosis,three indexes for electrocardiogram (ECG) signal quality, this paper established a quality assessment model for a wearable ECG-signal based on fuzzy comprehensive judgment, obtained the quality indexes and quality degree for ECG-signal. Then through a comparison and discussion for this algorithm, the results show that the using of fuzzy comprehensive assessment method can reduce the erroneous assessment in the condition of disturbance to some extent.

Key words: R-wave detection, matching degree, power spectral density ratio, kurtosis, ECG-signal quality assessment, fuzzy comprehensive judgement

摘要： 通过对R波检测匹配度、功率谱密度比值、峰度值3个反映心电信号质量的指标集进行重点介绍与分析，建立基于模糊综合评价的可穿戴心电信号质量评估模型，导出心电信号质量指数以及质量等级。最后对该算法进行比较与讨论，结果表明使用模糊综合评价方法能在一定程度上减小干扰条件下对心电信号的错误评估。

关键词: R波检测, 匹配度, 功率谱密度比值, 峰度值, 心电信号质量评估, 模糊综合评价