睡眠中逐次心跳周期的无束缚提取方法研究
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TH825R318

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国家重点研发计划(2017YFB1301002,2016YFE0128700)、河北省自然科学基金(E2017202270)项目资助


Research on extraction method of successive cardiac cycle in theunbound sleep
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    摘要:

    针对无束缚睡眠监测的迫切需求以及现有心率和心跳周期提取方法获取生理信息有限、缺乏临床价值或需要关于生理信息的先验知识等问题,基于心冲击(BCG)提出了一种改进的实时心率和逐次心跳周期提取方法。该方法利用固定于床侧的加速度传感器采集BCG信号,并通过改进的心跳周期函数从BCG信号中得到心跳周期序列;为解决序列中出现错误心跳周期的问题引入心跳周期估计的概念,根据心跳周期估计值并通过心跳候选值和其位置差值结合,从心跳候选值及位置构成的矩阵中得到逐次心跳周期。通过对比实验,将本方法与心电图得到的心率和心跳周期相比较,结果表明本方法提取心率的准确率不低于9872%,两种方法获得的逐次心跳周期9564%在一致性界限之内,验证了其准确性和一致性。

    Abstract:

    Unbound sleep monitoring is an urgent requirement. However, the existingmethods of heart rate and cardiaccycle extraction acquire limited physiological information, which lack of clinical value, or need prior knowledge about physiological information. In this study, an improved realtime heart rate and successive cardiac cycle extraction method based on ballistocardiogram(BCG) is proposed.Thismethod uses an acceleration sensor fixed on the bed side to collect the BCG signal, and the cardiac cycle sequence is obtained from the BCGsignal by the improved cardiac cycle function.The concept of cardiac cycle estimation is introduced to solve the problem that the wrong cardiac cycle occurs in the sequence. According to the cardiac cycleestimation value and by combining thecardiac candidate value and its position difference, a successive cardiac cycle is obtained from the matrix composed of the cardiac candidate value and the position.The heart rate and cardiac cycle obtained by this method are compared with electrocardiogram. Experimentalresults show that the accuracy of heart rate extraction is not lower than 9872%, and the successive cardiac cycle obtained by the two methods is within the consistency limit of 9564%.The accuracy and consistency of the proposed method are verified.

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刘今越,毕圆浩,贾晓辉,郭士杰.睡眠中逐次心跳周期的无束缚提取方法研究[J].仪器仪表学报,2019,40(4):100-106

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  • 在线发布日期: 2022-01-17
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