Xuandong Liang;Yukun Long;Kaiyuan Xiang;Peiyou Shi;Zhuo Wang;Kun Xiao;Santosh Kumar;Xiaoli Li;Rui Min
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引用次数: 0
摘要
脉搏信号为心血管健康监测和疾病诊断提供了生理指标，因此在心血管疾病（CVDs）领域发挥着至关重要的作用。脉搏信号作为基本的生理信号，还为心率变异性（HRV）分析提供了诊断心血管疾病的宝贵见解。可穿戴传感器在监测心率变异信息方面大有可为。我们提出了一种用于心率变异监测的智能手机集成塑料光纤（POF）斑点传感器，其芯直径为 1000 微米，在该芯直径的 POF 中具有最高的信噪比值（11.33 dB）。心率变异测试显示了参与者的平均心率、NN 间隔的标准偏差以及不同运动状态下连续差值的均方根。参考 R 波至 R 波 (RR) 间期与测量的 RR 间期之间的相关系数为 0.97018。结果表明，我们的系统在监测心率变异以预防和治疗心血管疾病方面具有潜在的应用价值。
Smartphone-Integrated POF Speckle Sensor for Heart Rate Variability Monitoring
The crucial role of pulse signals in the field of cardiovascular diseases (CVDs) cannot be overstated, as they provide physiological indicators for cardiovascular health monitoring and disease diagnosis. Pulse signals, as fundamental physiological signals, also offer valuable insights into heart rate variability (HRV) analysis for diagnosing CVDs. The wearable sensors are promising to monitor HRV information. We propose a smartphone-integrated plastic optical fiber (POF) speckle sensor for HRV monitoring, POF with a core diameter of 1000 µm was implemented, which offers the highest signal-to-noise ratio value (11.33 dB) among POFs of this core diameter. HRV tests were conducted, revealing a participant's average heart rate, standard deviation of NN intervals, and Root mean square of successive differences during different motion states. The correlation coefficient between reference R wave to R wave (RR) intervals and measured RR intervals is 0.97018. The results indicate our system holds potential applications in monitoring HRV for prevention and treatment of CVDs.
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