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Smart ballistocardiography front-end

机译:智能跳动前端

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摘要

Ballistocardiography (BCG), a contactless heart rate monitoring method, has the potential to measure vital signs and reduce neonates' monitoring pain and discomfort. It uses an accelerometer on the mattress side. As the signal amplitude is very low, the front-end circuit needs a high amplifier gain and thus is very sensitive to baseline wander and noise. However, the usual analogue baseline wander filters are slow to settle, and the individual plus the bed are a damping system which generates noise at its resonance frequency. Consequently, the BCG signal is likely to saturate for several seconds every time the individual moves. This paper introduces a novel smart BCG front-end which identifies the system resonance frequency, filters the baseline wander and the damping noise, and highly amplifies the BCG signal without saturation after patient movement. It has been successfully tested on an experimental model and opens possibilities for medical, real-time and low-cost applications.
机译:颅骨图(BCG)是一种非接触式心率监测方法,有可能测量生命体征并减少新生儿的监测疼痛和不适。 它使用床垫侧的加速度计。 由于信号幅度非常低,前端电路需要高放大器增益,因此对基线漂移和噪声非常敏感。 然而,通常的模拟基线漂移过滤器速度慢,并且个体加上床是一种阻尼系统,它在其共振频率下产生噪声。 因此,每次单独移动时,BCG信号可能会饱和几秒钟。 本文介绍了一种新颖的智能BCG前端,该前端识别系统谐振频率,过滤基线漂移和阻尼噪声,并在患者运动后高度放大BCG信号而不会饱和。 它已成功测试在实验模型上,并打开了医疗,实时和低成本应用的可能性。

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