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Unconstrained cardiorespiratory and body movement monitoring system for home care.

机译:用于家庭护理的不受约束的心肺和身体运动监测系统。

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摘要

An unconstrained respiratory rate (RR) and heart rate (HR) monitoring system to be used during sleeping is proposed. The system consisted of eight polyvinylidene fluoride cable sensors, charge amplifiers and measuring software, together with an analogue-to-digital converter unit. The cable sensors were horizontally embedded into a textile sheet on a bed surface covering the upper half of the body. The digital infinite impulse response filters were constructed to extract cardiorespiratory signals from displacement of the sensors. The system software automatically searched the optimum sensor(s) based on the power of the respective filter outputs. Then, the system obtained the 5 s average HR and 15 s average RR by measuring the intervals between the peaks of the respective autocorrelation functions of the filtered output. If the subject changed his posture, the system captured the image of the body position as a time stamp using a CCD camera. To show the validity of this method, the HR and RR obtained by this monitor were compared with those simultaneously measured using respiratory flow and an electrocardiogram. The results showed that the mean frame-by-frame difference ranged from -1.2 to 0.2 beats min(-1) for the HR and, for RR, ranged from -0.8 to 1.4 breath min(-1) during the short-term recordings. Similar differences were obtained during the first 2 h of overnight recordings. The proposed system is feasible for the combined long-term monitoring of a person's RR and HR with sleep posture changes and may be helpful for practical use in the home.
机译:提出了一种在睡眠期间使用的不受约束的呼吸频率(RR)和心率(HR)监视系统。该系统由八个聚偏二氟乙烯电缆传感器,电荷放大器和测量软件以及一个模数转换器单元组成。电缆传感器水平地嵌入覆盖床身上半部的床床上的一块纺织物中。构造了数字无限冲激响应滤波器,以从传感器的位移中提取心肺信号。系统软件根据各个滤波器输​​出的功率自动搜索最佳传感器。然后,系统通过测量滤波输出的各个自相关函数的峰值之间的间隔,获得5 s的平均HR和15 s的平均RR。如果对象改变了姿势,则系统会使用CCD摄像机将身体位置的图像作为时间戳捕获。为了显示此方法的有效性,将通过此监视器获得的HR和RR与使用呼吸流量和心电图同时测量的HR和RR进行了比较。结果表明,在短期记录中,HR的平均逐帧差异范围为-1.2至0.2个心跳min(-1),而RR的平均差异为-0.8至1.4个呼吸min(-1) 。在过夜录音的前2小时内获得了类似的差异。所提出的系统对于结合睡眠姿势变化的人的RR和HR的长期监测是可行的,并且可能有助于在家庭中的实际使用。

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