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Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography

机译:结合心动图和心动图实时心跳检测和心率监测

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摘要

Cardiography is an indispensable element of health care. However, the accessibility of at-home cardiac monitoring is limited by device complexity, accuracy, and cost. We have developed a real-time algorithm for heart rate monitoring and beat detection implemented in a custom-built, affordable system. These measurements were processed from seismocardiography (SCG) and gyrocardiography (GCG) signals recorded at the sternum, with concurrent electrocardiography (ECG) used as a reference. Our system demonstrated the feasibility of non-invasive electro-mechanical cardiac monitoring on supine, stationary subjects at a cost of $100, and with the SCG–GCG and ECG algorithms decoupled as standalone measurements. Testing was performed on 25 subjects in the supine position when relaxed, and when recovering from physical exercise, to record 23,984 cardiac cycles at heart rates in the range of 36–140 bpm. The correlation between the two measurements had r2 coefficients of 0.9783 and 0.9982 for normal (averaged) and instantaneous (beat identification) heart rates, respectively. At a sampling frequency of 250 Hz, the average computational time required was 0.088 s per measurement cycle, indicating the maximum refresh rate. A combined SCG and GCG measurement was found to improve accuracy due to fundamentally different noise rejection criteria in the mutually orthogonal signals. The speed, accuracy, and simplicity of our system validated its potential as a real-time, non-invasive, and affordable solution for outpatient cardiac monitoring in situations with negligible motion artifact.
机译:心电图是卫生保健不可或缺的要素。但是,在家中进行心脏监护的方法受到设备复杂性,准确性和成本的限制。我们已经开发了一种实时算法,用于在定制,价格合理的系统中实现的心率监测和心跳检测。这些测量是通过在胸骨处记录的地震心动图(SCG)和陀螺心动图(GCG)信号进行处理的,并发心电图(ECG)作为参考。我们的系统演示了对仰卧位,静止的受试者进行无创性机电心脏监护的可行性,成本为100美元,并且SCG–GCG和ECG算法解耦为独立的测量方法。在放松和从体育锻炼中恢复后,对25位仰卧姿势的受试者进行了测试,记录了心率在36-140 bpm范围内的23,984个心动周期。两次测量之间的相关性分别为正常(平均)和瞬时(心跳识别)心率的r 2 系数分别为0.9783和0.9982。在250 Hz的采样频率下,每个测量周期所需的平均计算时间为0.088 s,表明最大刷新率。发现SCG和GCG的组合测量可以提高精度,这是因为相互正交信号中的噪声抑制标准根本不同。我们的系统的速度,准确性和简便性证明了其作为实时,无创且价格合理的解决方案的潜力,可用于在运动伪影可忽略的情况下进行门诊心脏监护。

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