Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle

Article


Al-Naji, Ali, Perera, Asanka G. and Chahl, Javaan. 2017. "Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle." BioMedical Engineering OnLine. 16. https://doi.org/10.1186/s12938-017-0395-y
Article Title

Remote monitoring of cardiorespiratory signals from a hovering unmanned aerial vehicle

ERA Journal ID42225
Article CategoryArticle
AuthorsAl-Naji, Ali, Perera, Asanka G. and Chahl, Javaan
Journal TitleBioMedical Engineering OnLine
Journal Citation16
Article Number101
Number of Pages20
Year2017
PublisherBioMed Central Ltd.
Place of PublicationUnited Kingdom
ISSN1475-925X
Digital Object Identifier (DOI)https://doi.org/10.1186/s12938-017-0395-y
Web Address (URL)https://link.springer.com/article/10.1186/s12938-017-0395-y
Abstract

Background
Remote physiological measurement might be very useful for biomedical diagnostics and monitoring. This study presents an efficient method for remotely measuring heart rate and respiratory rate from video captured by a hovering unmanned aerial vehicle (UVA). The proposed method estimates heart rate and respiratory rate based on the acquired signals obtained from video-photoplethysmography that are synchronous with cardiorespiratory activity.

Methods
Since the PPG signal is highly affected by the noise variations (illumination variations, subject’s motions and camera movement), we have used advanced signal processing techniques, including complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and canonical correlation analysis (CCA) to remove noise under these assumptions.

Results
To evaluate the performance and effectiveness of the proposed method, a set of experiments were performed on 15 healthy volunteers in a front-facing position involving motion resulting from both the subject and the UAV under different scenarios and different lighting conditions.

Conclusion
The experimental results demonstrated that the proposed system with and without the magnification process achieves robust and accurate readings and have significant correlations compared to a standard pulse oximeter and Piezo respiratory belt. Also, the squared correlation coefficient, root mean square error, and mean error rate yielded by the proposed method with and without the magnification process were significantly better than the state-of-the-art methodologies, including independent component analysis (ICA) and principal component analysis (PCA).

KeywordsUnmanned aerial vehicle; Canonical correlation analysis; Imaging photoplethysmography; Video magnifcation technique
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204007. Control engineering, mechatronics and robotics
Byline AffiliationsUniversity of South Australia
Middle East Technical University, Turkey
Defence Science and Technology Group, Australia
Permalink -

https://research.usq.edu.au/item/z77z1/remote-monitoring-of-cardiorespiratory-signals-from-a-hovering-unmanned-aerial-vehicle

Download files


Published Version
s12938-017-0395-y.pdf
License: CC BY 4.0
File access level: Anyone

  • 4
    total views
  • 0
    total downloads
  • 4
    views this month
  • 0
    downloads this month

Export as

Related outputs

Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring
Khanam, Fatema-Tuz-Zohra, Perera, Asanka G., Al-Naji, Ali, Mcintyre, Timothy D. and Chahl, Javaan. 2024. "Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring." Journal of the Optical Society of America A: Optics, Image Science and Vision. 41 (6), pp. 1140-1151. https://doi.org/10.1364/JOSAA.520757
Non-invasive and non-contact automatic jaundice detection of infants based on random forest
Khanam, Fatema-Tuz-Zohra, Al-Naj, Ali, Perera, Asanka G., Wang, Danyi and Chahl, Javaan. 2023. "Non-invasive and non-contact automatic jaundice detection of infants based on random forest." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 11 (6), pp. 2516-2529. https://doi.org/10.1080/21681163.2023.2244601
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles
Perera, Asanka, Tran, Vu Phi, Anavatti, Sreenatha, Kasmarik, Kathryn and Garratt, Matthew A.. 2023. "Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles." 2023 Australasian Conference on Robotics and Automation (ACRA 2023). Sydney, Australia 04 - 06 Dec 2023 Australia.
Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving
Mahima, K. T. Yasas, Perera, Asanka, Anavatti, Sreenatha and Garratt, Matt. 2023. "Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving." Sensors. 23 (23). https://doi.org/10.3390/s23239579
A Computer Vision Milky Way Compass
Tao, Yiting, Lucas, Michael, Perera, Asanka, Teague, Samuel, Warrant, Eric and Chahl, Javaan. 2023. "A Computer Vision Milky Way Compass." Applied Sciences. 13 (10). https://doi.org/10.3390/app13106062
Neural network‐based optical flow versus traditional optical flow techniques with thermal aerial imaging in real‐world settings
Nguyen, Tran Xuan Bach, Rosser, Kent, Perera, Asanka, Moss, Philip and Chahl, Javaan. 2023. "Neural network‐based optical flow versus traditional optical flow techniques with thermal aerial imaging in real‐world settings." Journal of Field Robotics. 40 (7), pp. 1817-1839. https://doi.org/10.1002/rob.22219
Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles
Tran, Vu Phi, Perera, Asanka, Garrat, Matthew A., Kasmarik, Kathryn and Anavatti, Sreenatha G.. 2023. "Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles." IEEE Transactions on Intelligent Transportation Systems. 24 (11), pp. 12506-12522. https://doi.org/10.1109/TITS.2023.3285624
Remote Vital Signs Monitoring in Neonatal Intensive Care Unit Using a Digital Camera
Khanam, Fatema-Tuz-Zohra, Al-Naji, Ali, Perera, Asanka G., Gibson, Kim and Chahl, Javaan. 2022. "Remote Vital Signs Monitoring in Neonatal Intensive Care Unit Using a Digital Camera." International Journal of Biomedical and Biological Engineering. 16 (10), pp. 138-144.
Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging
Khanam, Fatema-Tuz-Zohra, Al-Naji, Ali, Perera, Asanka G., Gibson, Kim and Chahl, Javaan. 2022. "Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 11 (2), pp. 278-285. https://doi.org/10.1080/21681163.2022.2069598
Characteristics of optical flow from aerial thermal imaging,“thermal flow”
Nguyen, Tran Xuan Bach, Rosser, Kent, Perera, Asanka, Moss, Philip, Teague, Sam and Chahl, Javaan. 2022. "Characteristics of optical flow from aerial thermal imaging,“thermal flow”." Journal of Field Robotics. 39 (5), pp. 580-599. https://doi.org/10.1002/rob.22065
Noncontact Sensing of Contagion
Khanam, Fatema-Tuz-Zohra, Chahl, Loris A., Chahl, Jaswant S., Al-Naji, Ali, Perera, Asanka G., Wang, Danyi, Lee, Y.H., Ogunwa, Titilayo T., Teague, Samuel, Nguyen, Tran Xuan Bach, Mcintyre, Timothy D., Pegoli, Simon P., Tao, Yiting, McGuire, John L., Huynh, Jasmine and Chahl, Javaan. 2021. "Noncontact Sensing of Contagion." Journal of Imaging. 7 (2). https://doi.org/10.3390/jimaging7020028
Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks
Khanam, Fatema-Tuz-Zohra, Perera, Asanka G., Al-Naji, Ali, Gibson, Kim and Chahl, Javaan. 2021. "Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks." Journal of Imaging. 7 (8). https://doi.org/10.3390/jimaging7080122
A Low Redundancy Wavelet Entropy Edge Detection Algorithm
Tao, Yiting, Scully, Thomas, Perera, Asanka G., Lambert, Andrew and Chahl, Javaan. 2021. "A Low Redundancy Wavelet Entropy Edge Detection Algorithm." Journal of Imaging. 7 (9). https://doi.org/10.3390/jimaging7090188
Detection and Localisation of Life Signs from the Air Using Image Registration and Spatio-Temporal Filtering
Perera, Asanka G, Khanam, Fatema-Tuz-Zohra, Al-Naji, Ali and Chahl, Javaan. 2020. "Detection and Localisation of Life Signs from the Air Using Image Registration and Spatio-Temporal Filtering." Remote Sensing. 12 (3). https://doi.org/10.3390/rs12030577
A multiviewpoint outdoor dataset for human action recognition
Perera, Asanka G., Law, Yee Wei, Ogunwa, Titilayo T and Chahl, Javaan. 2020. "A multiviewpoint outdoor dataset for human action recognition." IEEE Transactions on Human-Machine Systems. 50 (5), pp. 405-413. https://doi.org/10.1109/THMS.2020.2971958
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
Perera, Asanka G., Law, Yee Wei and Chahl, Javaan. 2019. "UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition." UAVision workshop, ECCV 2018. Germany. Springer. https://doi.org/10.1007/978-3-030-11012-3_9
Visdrone-sot2018: The vision meets drone single-object tracking challenge results
Wen, Longyin, Zhu, Pengfei, Du, Dawei, Bian, Xiao, Ling, Haibin, Hu, Qinghua, Liu, Chenfeng, Cheng, Hao, Liu, Xiaoyu, Ma, Wenya, Nie, Qinqin, Wu, Haotian, Wang, Lianjie, Perera, Asanka G., Zhang, Baochang, Heo, Byeongho, Liu, Chunlei, Li, Dongdong, Michail, Emmanouil, ..., He, Zhiqun. 2019. "Visdrone-sot2018: The vision meets drone single-object tracking challenge results." European Conference on Computer Vision 2018 Workshops. Munich, Germany 09 - 14 Sep 2018 Germany. Springer. https://doi.org/10.1007/978-3-030-11021-5_28
Cross-correlation-based robust object tracking in aerial videos
Perera, Asanka G, Law, Yee Wei and Chahl, Javaan. 2019. "Cross-correlation-based robust object tracking in aerial videos." 18th Australian International Aerospace Congress (AIAC18). Melbourne, Australia 24 - 26 Feb 2019 Australia .
Life Signs Detector Using a Drone in Disaster Zones
Al-Naji, Ali, Perera, Asanka G., Mohammed, Saleem Latteef and Chahl, Javaan. 2019. "Life Signs Detector Using a Drone in Disaster Zones." Remote Sensing. 11 (20). https://doi.org/10.3390/rs11202441
Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition
Perera, Asanka G., Law, Yee Wei and Chahl, Javaan. 2019. "Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition." Drones. 3 (4). https://doi.org/10.3390/drones3040082
Human motion analysis from UAV video
Perera, Asanka G., Law, Yee We, Al-Naji, Ali and Chahl, Javaan. 2018. "Human motion analysis from UAV video." International Journal of Intelligent Unmanned Systems. 6 (2), pp. 69-92. https://doi.org/10.1108/IJIUS-10-2017-0012
Human detection and motion analysis from a quadrotor UAV
Perera, Asanka G., Al-Naji, Ali, Law, Al-Naji, Ali and Chahl, Javaan. 2018. "Human detection and motion analysis from a quadrotor UAV." AEROTECH VII - Sustainability in Aerospace Engineering and Technology. Putrajaya, Malaysia 07 - 08 Aug 2018 United Kingdom. IOP Publishing. https://doi.org/10.1088/1757-899X/405/1/012003
Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle
Al-Naji, Ali, Perera, Asanka G. and Chahl, Javaan. 2018. "Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle ." AEROTECH VII - Sustainability in Aerospace Engineering and Technology. Putrajaya, Malaysia 07 - 08 Aug 2018 United Kingdom. IOP Publishing. https://doi.org/10.1088/1757-899X/405/1/012001
Human pose and path estimation from aerial video using dynamic classifier selection
Perera, Asanka G., Law, Yee Wei and Chahl, Javaan. 2018. "Human pose and path estimation from aerial video using dynamic classifier selection." Cognitive Computation. 10 (6), pp. 1019-1041. https://doi.org/10.1007/s12559-018-9577-6