Detecting trapped humans through chest wall movements with non-contact doppler sensor

L. Pham; M. Paul; C. Withana

doi:10.1109/ISCAIE.2019.8743708

Detecting trapped humans through chest wall movements with non-contact doppler sensor

L. Pham, M. Paul, C. Withana

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.]]

Original language	English
Title of host publication	Proceedings of 2019 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27th - 28th April 2019, Kota Kinabalu, Malaysia
Publisher	IEEE
Pages	346-351
Number of pages	6
ISBN (Print)	9781538685464
DOIs	https://doi.org/10.1109/ISCAIE.2019.8743708
Publication status	Published - 2019
Event	IEEE Symposium on Computer Applications and Industrial Electronics - Duration: 27 Apr 2019 → …

Conference

Conference	IEEE Symposium on Computer Applications and Industrial Electronics
Period	27/04/19 → …

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10.1109/ISCAIE.2019.8743708

Cite this

@inproceedings{6200c86b43514d7f8726abeec417f7e9,

title = "Detecting trapped humans through chest wall movements with non-contact doppler sensor",

abstract = "![CDATA[This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.]]",

author = "L. Pham and M. Paul and C. Withana",

year = "2019",

doi = "10.1109/ISCAIE.2019.8743708",

language = "English",

isbn = "9781538685464",

pages = "346--351",

booktitle = "Proceedings of 2019 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27th - 28th April 2019, Kota Kinabalu, Malaysia",

publisher = "IEEE",

note = "IEEE Symposium on Computer Applications and Industrial Electronics ; Conference date: 27-04-2019",

}

Pham, L, Paul, M & Withana, C 2019, Detecting trapped humans through chest wall movements with non-contact doppler sensor. in Proceedings of 2019 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27th - 28th April 2019, Kota Kinabalu, Malaysia. IEEE, pp. 346-351, IEEE Symposium on Computer Applications and Industrial Electronics, 27/04/19. https://doi.org/10.1109/ISCAIE.2019.8743708

Detecting trapped humans through chest wall movements with non-contact doppler sensor. / Pham, L.; Paul, M.; Withana, C.
Proceedings of 2019 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27th - 28th April 2019, Kota Kinabalu, Malaysia. IEEE, 2019. p. 346-351.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

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AU - Pham, L.

AU - Paul, M.

AU - Withana, C.

PY - 2019

Y1 - 2019

N2 - ![CDATA[This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.]]

AB - ![CDATA[This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.]]

UR - https://hdl.handle.net/1959.7/uws:67479

U2 - 10.1109/ISCAIE.2019.8743708

DO - 10.1109/ISCAIE.2019.8743708

M3 - Conference Paper

SN - 9781538685464

SP - 346

EP - 351

BT - Proceedings of 2019 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27th - 28th April 2019, Kota Kinabalu, Malaysia

PB - IEEE

T2 - IEEE Symposium on Computer Applications and Industrial Electronics

Y2 - 27 April 2019

ER -

Detecting trapped humans through chest wall movements with non-contact doppler sensor

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