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Tytuł artykułu

Measurements of heart and respiration rates in thermovision

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Human life parameters such as the frequency of heart contractions, temperature, arterial pressure and breathing frequency are one of the most important parameters used to assess the basic vital functions of the most important organs of the body. In addition to describe health status, they can be used to assess the state of human activity, its efficiency and fatigue. Traditional techniques for measuring physiological parameters require appropriate sensors connected to human body. However, attaching the sensors to a human body may be undesirable or impossible, such as in newborns or during sports training. The article presents the method of measuring the frequency of heart rate and the frequency of breathing based on the analysis of the thermographic image of the human head.
Wydawca
Rocznik
Strony
22--25
Opis fizyczny
Bibliogr. 10 poz., rys., tab., wykr., wzory
Twórcy
  • MiIitary University of Technology, Institute of Optoelectronics gen. Sylwestra Kaliskiego 2 str., 00-908 Warsaw, Poland
  • MiIitary University of Technology, Institute of Optoelectronics gen. Sylwestra Kaliskiego 2 str., 00-908 Warsaw, Poland
  • MiIitary University of Technology, Institute of Optoelectronics gen. Sylwestra Kaliskiego 2 str., 00-908 Warsaw, Poland
  • MiIitary University of Technology, Institute of Optoelectronics gen. Sylwestra Kaliskiego 2 str., 00-908 Warsaw, Poland
Bibliografia
  • [1] Takano C, Ohta Y.: Heart rate measurement based on a time-lapse image. Med Eng Phys, 2007, 29: 853–857.
  • [2] Wieringa FP, Mastik F, van der Steen AF.: Contactless multiple wavelength photoplethysmographic imaging: a first step toward “SpO2 camera” technology. Ann Biomed Eng., 2005, 33: 1034–1041.
  • [3] Gunther J., Ruben N. and Moon T.: Model-based (passive) heart rate estimation using remote video recording of moving human subjects illuminated by ambient light. 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, 2015, pp. 2870-2874.
  • [4] Lewandowska M., Rumiński J., Kocejko T., Nowak J.: Measuring pulse rate with a webcam - A non-contact method for evaluating cardiac activity. 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), Szczecin, 2011, pp. 405-410.
  • [5] Rumiński J. Reliability of pulse measurements in videoplethysmography, Metrology and Measurement Systems, Vol. 23, Issue. 3, 2016, pp. 359-371.
  • [6] Kwaśniewska A., Rumiński J., Wtorek J.: The motion influence on respiration rate estimation from low-resolution thermal sequences during attention focusing tasks. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 1421-1424.
  • [7] Komisarczyk A., Dziworska G., Krucinska I., Michalak M., Strzembosz W., Kaflak A., Kaluza M.: Visualisation of Liquid Flow Phenomena in Textiles Applied as a Wound Dressing, Autex Research Journal, 2013, vol. 13, Issue 4, pp. 141–149.
  • [8] Rumiński J.: Analysis of the parameters of respiration patterns extracted from thermal image sequences. Biocybernetics and Biomedical Engineering, 2016, Vol. 36, Issue 4, pp. 731-741,
  • [9] Krupiński M., Bieszczad G., Sosnowski T., Madura H., Gogler S.: Non-uniformity correction in microbolometer array with temperature influence compensation. Metrology and Measurement Systems, 2014, Vol. XXI, No. 4, pp. 709–718.
  • [10] Orżanowski T., Sosnowski T., Madura H.: Metoda korekcji czułości matrycowych detektorów podczerwieni. Pomiary Automatyka Kontrola, PAK Vol. 57 nr 10, pp. 1108-1111, 2011
Uwagi
EN
1. Scientific work co-financed by The National Centre for Research and Development.
PL
2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-94e6c85f-44f7-4183-9c27-a55c76d64d11
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