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Ultra-wideband (UWB) signals have become attractive because of their particular advantage of having a narrow pulse width, which makes them suitable for non-invasive remote sensing of vital signals. In this paper, we present an efficient algorithm based on power spectral method applied on UWB signals for non-invasive monitoring and measurement of si...
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... z is the layer thickness, and α and η are the attenuation constant and intrinsic impedance, respectively, as calculated in [16], Figure 3 shows the schematic of a multi-layer model to take into account the attenuation effects of different tissues and propagation media on UWB signal. According to such a model when different propagation layers are consecutive, the wave that passes through the first interface (S av ,1 t ) is the incident wave for the second interface (S av ,2 t ). ...
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Citations
Remote sensing of life detection or a non-contact monitor of vital signals is an important application for Ultra-wideband (UWB) radar, such as health monitoring of a vehicle driver. Using the UWB radar to detect physiological signals of a dynamic human, three kind movement features (body motion, breathing, and heartbeat) must be considered generally to be extracted from echo pulses. Usually, moving body echo signal is much larger than other twos, which will cause signal interference and interaction problems. Meanwhile, since moving body causes breathing and heartbeat to act in dynamic spatial position, conventional fixed feature with maximum spectrum or local peak spectrum detection methods are not likely to find those movable physiological active features. Thus, how to reduce physiological feature bias from body motion, and efficiently obtain valuable physiological information are problems. To solve these problems, a novel multi-feature alignment (MFA) two-layer EEMD method is proposed. The proposed method simultaneously detects breathing and heartbeat information from a slightly swinging human (driver). The simulation and experiment results show the proposed method can effectively and reliably evaluate breathing and heart rates in static or/and dynamic body situation, both in laboratory and car.
