Kos Maciej, Khaghani-Far Iman, Gordon Christine M, Pavel Misha, Jimison Holly B
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1587-1590. doi: 10.1109/EMBC.2017.8037141.
A key prerequisite for precision medicine is the ability to assess metrics of human behavior objectively, unobtrusively and continuously. This capability serves as a framework for the optimization of tailored, just-in-time precision health interventions. Mobile unobtrusive physiological sensors, an important prerequisite for realizing this vision, show promise in implementing this quality of physiological data collection. However, first we must trust the collected data. In this paper, we present a novel approach to improving heart rate estimates from wrist pulse photoplethysmography (PPG) sensors. We also discuss the impact of sensor movement on the veracity of collected heart rate data.
精准医学的一个关键前提是能够客观、不引人注意且持续地评估人类行为指标。这一能力为优化量身定制的即时精准健康干预措施提供了一个框架。移动无创生理传感器是实现这一愿景的重要前提，在实现这种生理数据采集质量方面显示出了前景。然而，首先我们必须信任所收集的数据。在本文中，我们提出了一种改进基于手腕脉搏光电容积脉搏波描记法（PPG）传感器的心率估计的新方法。我们还讨论了传感器移动对所收集心率数据准确性的影响。
