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A Method for Remotely Sensing Vital Signs of Human Subjects Outdoors.

Li C, Chen F, Jin J, Lv H, Li S, Lu G, Wang J - Sensors (Basel) (2015)

Bottom Line: Although human bodies can be found by smart vehicles and drones equipped with cameras, it is difficult to verify if the person is alive or dead this way.Finally, the detection capabilities of the radar system and the signal processing method are verified through experiments which show that human respiration signals can be extracted when the subject is 7 m away outdoors.The method provided in this paper will be a promising way to search for human subjects outdoors.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China. lichuantao614@126.com.

ABSTRACT
After chemical or nuclear leakage or explosions, finding survivors is a huge challenge. Although human bodies can be found by smart vehicles and drones equipped with cameras, it is difficult to verify if the person is alive or dead this way. This paper describes a continuous wave radar sensor for remotely sensing the vital signs of human subjects. Firstly, a compact and portable 24 GHz Doppler radar system is designed to conduct non-contact detection of respiration signal. Secondly, in order to improve the quality of the respiration signals, the self-correlation and adaptive line enhancer (ALE) methods are proposed to minimize the interferences of any moving objects around the human subject. Finally, the detection capabilities of the radar system and the signal processing method are verified through experiments which show that human respiration signals can be extracted when the subject is 7 m away outdoors. The method provided in this paper will be a promising way to search for human subjects outdoors.

No MeSH data available.


Related in: MedlinePlus

Respiration waveforms detected at different human body postures. (a) Lying on his back; (b) Lying on his stomach; (c) Lying on his side with the back towards the radar; (d) Lying on his side and facing towards the radar.
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sensors-15-14830-f008: Respiration waveforms detected at different human body postures. (a) Lying on his back; (b) Lying on his stomach; (c) Lying on his side with the back towards the radar; (d) Lying on his side and facing towards the radar.

Mentions: Under such an ideal indoor situation, the respiration waveform can be clearly seen. Especially in Figure 8a–c, the signal amplitudes are basically equal to each other, and the reason is that the distance between human body and radar is unchanged basically in every measurement, and for each time, the measured parameter is the respiration movement of the subject’s ventral abdomen. Figure 8d collects the respiration displacement of the abdomen of the human body, and the signal strength is greater obviously than that in the previous three situations; the reason is that the displacement of abdomen during the respiration movement is large and the movement area is big when the radar directly faces the abdomen.


A Method for Remotely Sensing Vital Signs of Human Subjects Outdoors.

Li C, Chen F, Jin J, Lv H, Li S, Lu G, Wang J - Sensors (Basel) (2015)

Respiration waveforms detected at different human body postures. (a) Lying on his back; (b) Lying on his stomach; (c) Lying on his side with the back towards the radar; (d) Lying on his side and facing towards the radar.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541809&req=5

sensors-15-14830-f008: Respiration waveforms detected at different human body postures. (a) Lying on his back; (b) Lying on his stomach; (c) Lying on his side with the back towards the radar; (d) Lying on his side and facing towards the radar.
Mentions: Under such an ideal indoor situation, the respiration waveform can be clearly seen. Especially in Figure 8a–c, the signal amplitudes are basically equal to each other, and the reason is that the distance between human body and radar is unchanged basically in every measurement, and for each time, the measured parameter is the respiration movement of the subject’s ventral abdomen. Figure 8d collects the respiration displacement of the abdomen of the human body, and the signal strength is greater obviously than that in the previous three situations; the reason is that the displacement of abdomen during the respiration movement is large and the movement area is big when the radar directly faces the abdomen.

Bottom Line: Although human bodies can be found by smart vehicles and drones equipped with cameras, it is difficult to verify if the person is alive or dead this way.Finally, the detection capabilities of the radar system and the signal processing method are verified through experiments which show that human respiration signals can be extracted when the subject is 7 m away outdoors.The method provided in this paper will be a promising way to search for human subjects outdoors.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Fourth Military Medical University, Xi'an 710032, China. lichuantao614@126.com.

ABSTRACT
After chemical or nuclear leakage or explosions, finding survivors is a huge challenge. Although human bodies can be found by smart vehicles and drones equipped with cameras, it is difficult to verify if the person is alive or dead this way. This paper describes a continuous wave radar sensor for remotely sensing the vital signs of human subjects. Firstly, a compact and portable 24 GHz Doppler radar system is designed to conduct non-contact detection of respiration signal. Secondly, in order to improve the quality of the respiration signals, the self-correlation and adaptive line enhancer (ALE) methods are proposed to minimize the interferences of any moving objects around the human subject. Finally, the detection capabilities of the radar system and the signal processing method are verified through experiments which show that human respiration signals can be extracted when the subject is 7 m away outdoors. The method provided in this paper will be a promising way to search for human subjects outdoors.

No MeSH data available.


Related in: MedlinePlus