Detecting trapped humans through chest wall movements with Non-contact Doppler sensor

Linh Pham; Manoranjan Paul; P. W. C. Prasad

doi:10.1109/ISCAIE.2019.8743708

Detecting trapped humans through chest wall movements with Non-contact Doppler sensor

Linh Pham
, Manoranjan Paul
, P. W. C. Prasad

Study Group Australia

Research output: Book chapter/Published conference paper › Conference paper › peer-review

2 Citations (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	2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
Subtitle of host publication	program book & book of abstracts
Place of Publication	Malaysia
Publisher	IEEE Xplore
Pages	346-351
Number of pages	6
ISBN (Electronic)	9781538685464
ISBN (Print)	9781538685471 (Print on demand)
DOIs	https://doi.org/10.1109/ISCAIE.2019.8743708
Publication status	Published - 2019
Event	2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics: ISCAIE 2019 - Le Meridien Hotel, Kota Kinabalu, Malaysia Duration: 27 Apr 2019 → 28 Apr 2019 https://web.archive.org/web/20201010202146/https://sites.google.com/site/iscaie2019/home (Conference website) https://ieeexplore.ieee.org/xpl/conhome/8740332/proceeding http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=81318&copyownerid=129708 (Call for papers)

Conference

Conference	2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics
Country/Territory	Malaysia
City	Kota Kinabalu
Period	27/04/19 → 28/04/19
Other	The IEEE Malaysia Industrial Electronics & Industrial Applications Joint Chapter is proud to announce the 9th series of IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2019) that will be held on the 27th to 28th of April 2019 in Kota Kinabalu, Malaysia. The symposium acts as a platform for researchers to present and share their research findings in the areas of Computer Applications, Computational Intelligence, Industrial Electronics, Information Engineering, Software Engineering, Network & Communication Technologies, Image & Signal Processing and Internet of Things.
Internet address	https://web.archive.org/web/20201010202146/https://sites.google.com/site/iscaie2019/home (Conference website) https://ieeexplore.ieee.org/xpl/conhome/8740332/proceeding http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=81318&copyownerid=129708 (Call for papers)

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10.1109/ISCAIE.2019.8743708

https://doi.org/10.1109/ISCAIE.2019.8743708

Cite this

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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.",

keywords = "Doppler radar sensor, 2.4 GHz sensor, Respiratory movement, Human detection, Vital Sign",

author = "Linh Pham and Manoranjan Paul and Prasad, \{P. W. C.\}",

note = "Includes bibliographical references.; 2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics : ISCAIE 2019 ; Conference date: 27-04-2019 Through 28-04-2019",

year = "2019",

doi = "10.1109/ISCAIE.2019.8743708",

language = "English",

isbn = "9781538685471 (Print on demand)",

pages = "346--351",

booktitle = "2019 IEEE 9th Symposium on Computer Applications \& Industrial Electronics (ISCAIE)",

publisher = "IEEE Xplore",

url = "https://web.archive.org/web/20201010202146/https://sites.google.com/site/iscaie2019/home, https://ieeexplore.ieee.org/xpl/conhome/8740332/proceeding, http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=81318\&copyownerid=129708",

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Pham, L, Paul, M & Prasad, PWC 2019, Detecting trapped humans through chest wall movements with Non-contact Doppler sensor. in 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE): program book & book of abstracts., 8743708, IEEE Xplore, Malaysia, pp. 346-351, 2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics, Kota Kinabalu, Malaysia, 27/04/19. https://doi.org/10.1109/ISCAIE.2019.8743708

Detecting trapped humans through chest wall movements with Non-contact Doppler sensor. / Pham, Linh; Paul, Manoranjan; Prasad, P. W. C.
2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE): program book & book of abstracts. Malaysia: IEEE Xplore, 2019. p. 346-351 8743708.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Detecting trapped humans through chest wall movements with Non-contact Doppler sensor

AU - Pham, Linh

AU - Paul, Manoranjan

AU - Prasad, P. W. C.

N1 - Includes bibliographical references.

PY - 2019

Y1 - 2019

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.

KW - Doppler radar sensor

KW - 2.4 GHz sensor

KW - Respiratory movement

KW - Human detection

KW - Vital Sign

UR - https://www.scopus.com/pages/publications/85069161334

UR - https://ieeexplore.ieee.org/xpl/conhome/8740332/proceeding

U2 - 10.1109/ISCAIE.2019.8743708

DO - 10.1109/ISCAIE.2019.8743708

M3 - Conference paper

SN - 9781538685471 (Print on demand)

SP - 346

EP - 351

BT - 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

PB - IEEE Xplore

CY - Malaysia

T2 - 2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics

Y2 - 27 April 2019 through 28 April 2019

ER -

Detecting trapped humans through chest wall movements with Non-contact Doppler sensor

Abstract

Conference

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Noncontact detection of cardiopulmonary activities of trapped humans in rescue relief events

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