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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

(a) Signal waveform of Figure 9a after removing the baseline, self-correlation processing and its power spectrum. (b) Signal waveform of Figure 10a after ALE processing and its power spectrum.
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sensors-15-14830-f010: (a) Signal waveform of Figure 9a after removing the baseline, self-correlation processing and its power spectrum. (b) Signal waveform of Figure 10a after ALE processing and its power spectrum.

Mentions: Figure 10a refers to the signal after removing the baseline and self-correlation of Figure 9a, taking half of the points and removing 200 points near zero. In order to guarantee the following ALE continuity, the peak value at the zero point is avoided. At this time, the periodic signal of Figure 10a can be seen; however, there is a lot of noise at the same time. Then, we conduct processing of the signal in Figure 10a by the ALE method, and the signal after processing is shown in Figure 10b, where the periodic signal is clear.


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)

(a) Signal waveform of Figure 9a after removing the baseline, self-correlation processing and its power spectrum. (b) Signal waveform of Figure 10a after ALE processing and its power spectrum.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-14830-f010: (a) Signal waveform of Figure 9a after removing the baseline, self-correlation processing and its power spectrum. (b) Signal waveform of Figure 10a after ALE processing and its power spectrum.
Mentions: Figure 10a refers to the signal after removing the baseline and self-correlation of Figure 9a, taking half of the points and removing 200 points near zero. In order to guarantee the following ALE continuity, the peak value at the zero point is avoided. At this time, the periodic signal of Figure 10a can be seen; however, there is a lot of noise at the same time. Then, we conduct processing of the signal in Figure 10a by the ALE method, and the signal after processing is shown in Figure 10b, where the periodic signal is clear.

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