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

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 = "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

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AU - Withana, C.

PY - 2019

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N2 - 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 - 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.

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DO - 10.1109/ISCAIE.2019.8743708

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EP - 351

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

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ER -

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

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