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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

Block diagram of an adaptive noise canceller.
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sensors-15-14830-f005: Block diagram of an adaptive noise canceller.

Mentions: After self-correlation, the SNR of signal is enhanced. However, for a signal with extremely low SNR, it is necessary to further enhance the SNR. The term adaptive cancellation refers to an adaptive filter configuration which is satisfactory in an environment where complete knowledge of relevant signal characteristics is not available. Figure 5 shows the block diagram of adaptive cancellation.


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)

Block diagram of an adaptive noise canceller.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-14830-f005: Block diagram of an adaptive noise canceller.
Mentions: After self-correlation, the SNR of signal is enhanced. However, for a signal with extremely low SNR, it is necessary to further enhance the SNR. The term adaptive cancellation refers to an adaptive filter configuration which is satisfactory in an environment where complete knowledge of relevant signal characteristics is not available. Figure 5 shows the block diagram of adaptive cancellation.

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