Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring

Liv Herzer, Annika Muecke, R. Richer, Nils C. Albrecht, Markus Heyder, Katharina M. Jaeger, Veronika Koenig, Alexander Koelpin, Nicolas Rohleder, Bjoern M. Eskofier
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Abstract

Cardiac parameters are important indicators for health assessment. Radar-based monitoring with microwave interferometric sensors (MIS) is a promising alternative to conventional measurement methods, as it enables completely contactless cardiac function diagnostics. In this study, we evaluated the effects of sensor positioning and movement on the accuracy of radar-based heart rate measurements with MIS. For this purpose, we recruited 29 participants which performed semi-standardized movements, a reading task, and a standardized laboratory stress test in a seated position. Furthermore, we compared three different sensor positions (dorsal, upper pectoral, and lower pectoral) to a gold standard 1-channel wearable ECG sensor node. The dorsal positioning achieved the best results with a mean error (ME) of 0.2±5.4 bpm and a mean absolute error (MAE) of 3.5±4.1 bpm for no movement and also turned out to be most robust against motion artifacts with an overall ME of 0.1±14.1 bpm (MAE: 9.5±10.4 bpm). No correlation was found between movement intensity and measurement error. Instead, movement type and direction were identified as primary impact factors. This study provides a valuable contribution towards the applicability of radar-based vital sign monitoring with MIS in real-world scenarios. However, further research is needed to sufficiently prevent and compensate for movement artifacts.
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传感器位置和身体运动对雷达心率监测的影响
心脏参数是健康评价的重要指标。基于雷达的微波干涉传感器(MIS)监测是传统测量方法的一种很有前途的替代方法,因为它可以实现完全非接触式心功能诊断。在这项研究中,我们评估了传感器定位和运动对MIS雷达心率测量精度的影响。为此,我们招募了29名参与者,他们在坐姿下进行了半标准化的运动、阅读任务和标准化的实验室压力测试。此外,我们将三种不同的传感器位置(背部、胸上和胸下)与金标准1通道可穿戴ECG传感器节点进行了比较。无运动时,背侧定位的平均误差(ME)为0.2±5.4 bpm,平均绝对误差(MAE)为3.5±4.1 bpm,达到最佳效果,并且对运动伪影的总体ME为0.1±14.1 bpm (MAE: 9.5±10.4 bpm)也是最稳健的。运动强度与测量误差无相关性。相反,运动类型和方向被确定为主要的影响因素。本研究为基于雷达的生命体征监测与MIS在现实场景中的适用性提供了有价值的贡献。然而,需要进一步的研究来充分预防和补偿运动伪影。
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