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A new signal processing method for vital sensing using a Doppler sensor aiming at reliable sensingunder body movement

机译:一种新的信号处理方法,用于使用多普勒传感器的重要感测旨在可靠的敏感体运动

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Vital sensing using a Doppler sensor is attractive since it does not need to put electrodes or sensors on a human body. It must be suitable for the monitoring of car drivers due to its easy use. By using this sensor, we can think about an alarm system for sudden illness of car drivers preventing them from causing accidents. However, the problem is body movements of car drivers and the vibration of the car. The Doppler sensor observes the variation of the distance between the sensor and the human body because the distance variation is yielded by the respiration and the heartbeats. Thus, the body movements of the driver are destructive for the measurement as well as the car vibration. Obviously, they cause false alarms, so the measurement must be robust against the body movement. In this paper, we propose a new signal processing method suitable for vital sensing using a Doppler sensor. It is robust against disturbances caused by the body movement or the car vibrations. However, if these disturbances are serious, the proposed method automatically recognize the situation in order to avoid the false alarm for the car drivers' monitoring. In addition, the proposed method is applicable to multiple persons. The performance of the proposed method is investigated through computer simulations.
机译:使用多普勒传感器的重要感测是有吸引力的,因为它不需要将电极或传感器放在人体上。由于其易于使用,它必须适用于监控汽车司机。通过使用此传感器,我们可以考虑一下汽车司机突然疾病的警报系统,防止他们造成事故。然而,问题是汽车司机的身体运动和汽车的振动。多普勒传感器观察传感器和人体之间的距离的变化,因为距离变化由呼吸和心跳产生。因此,驾驶员的主体运动对于测量以及汽车振动是破坏性的。显然,它们造成误报,因此测量必须对身体运动牢固。在本文中,我们提出了一种新的信号处理方法,适用于使用多普勒传感器至关重要的感测。它是抗身由身体运动或汽车振动引起的扰动。但是,如果这些干扰是严重的,所提出的方法会自动识别这种情况,以避免汽车司机监控的错误警报。此外,所提出的方法适用于多人。通过计算机仿真研究了所提出的方法的性能。

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