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Heart rate measurement via smart phone acceleration sensor

机译:通过智能手机加速度传感器进行心率测量

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The invention of various types of sensors, enhancement of computing ability of the smart terminal and booming development of wearable and portable device gave an practical way to monitor the elder's physical condition, especially people with heart disease or blood pressure disease. This paper describes a method to get the apical pulse signal via acceleration sensor and proposes a new way estimating the heart rate, besides, a signal processing procedures are given to get and tracking the signal. Considering in detail, we firstly analyzed the generation mechanism, and found suitable positions to deploy sensors, then we came up with an idea that separating heart rate signal and respiratory via wavelet analysis, further a real-time heart tracking algorithm is designed and local prediction via phase-space method is used to predict missing heart rate. After that, we discussed about the embedding dimension and the delay time of different ages of people. Finally, we carried out an experiment with commercial device, and proposed a evaluation method based signal quality, then analyzed the tracking performance. This low cost technology can be used in real time monitor on wearable devices especially emergency condition and long-term health support.
机译:各种传感器的发明,智能终端的计算能力的增强以及可穿戴和便携式设备的蓬勃发展为监测老年人的身体状况提供了一种实用的方法,特别是对患有心脏病或血压疾病的人。本文介绍了一种通过加速度传感器获取心尖脉冲信号的方法,并提出了一种估计心率的新方法,并给出了一种获取和跟踪信号的信号处理程序。详细考虑后,首先分析产生机理,找到合适的位置部署传感器,然后提出通过小波分析将心率信号与呼吸信号分离的思想,并设计了实时心脏跟踪算法并进行局部预测。通过相空间法来预测心律缺失。之后,我们讨论了嵌入维度和不同年龄段的人的延迟时间。最后,我们在商用设备上进行了实验,提出了一种基于信号质量的评估方法,然后对跟踪性能进行了分析。这种低成本技术可用于可穿戴设备的实时监控,尤其是紧急情况和长期健康支持。

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