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Abstract：
Photoplethysmography (PPG) is widely utilized in wearable healthcare devices due to its convenient measurement capabilities. However, the unrestricted behavior of users often introduces artifacts into the PPG signal. As a result, signal processing and quality assessment play a crucial role in ensuring that the information contained in the signal can be effectively acquired and analyzed. Traditionally, researchers have discussed signal quality and processing algorithms separately, with individual algorithms developed to address specific artifacts. In this paper, we propose a quality-aware signal processing mechanism that evaluates incoming PPG signals using the signal quality index (SQI) and selects the appropriate processing method based on the SQI. Unlike conventional processing approaches, our proposed mechanism recommends processing algorithms based on the quality of each signal, offering an alternative option for designing signal processing flows. Furthermore, our mechanism achieves a favorable trade-off between accuracy and energy consumption, which are the key considerations in long-term heart rate monitoring.
摘要：
背景技术光体积描记术(PPG)由于其方便的测量能力而被广泛用于可穿戴医疗保健设备中。然而,用户的无限制行为通常会将伪影引入PPG信号中。因此,信号处理和质量评估对于确保信号中包含的信息能够被有效地获取和分析起着至关重要的作用。传统上,研究人员分别讨论了信号质量和处理算法，开发了单独的算法来解决特定的工件。在本文中,我们提出了一种质量感知的信号处理机制，该机制使用信号质量指数（SQI）评估传入的PPG信号，并基于SQI选择适当的处理方法。与传统的加工方法不同，我们提出的机制根据每个信号的质量推荐处理算法，为设计信号处理流程提供了另一种选择。此外，我们的机制在精度和能耗之间实现了有利的权衡，这是长期心率监测的关键考虑因素。
