Rancang Bangun Pengukur Detak Jantung Non Kontak Menggunakan Pencitraan Termal untuk Robot Security

Authors

  • Riza Agung Firmansyah Institut Teknologi Adhi Tama Surabaya, Surabaya
  • Yuliyanto Agung Prabowo Institut Teknologi Adhi Tama Surabaya, Surabaya
  • Titiek Suheta Institut Teknologi Adhi Tama Surabaya, Surabaya

DOI:

https://doi.org/10.30865/mib.v6i1.3416

Keywords:

Heart Rate Measurement, Thermal Imaging, Peak To Peak Interval, Fast Fourier Transform, Security Robot

Abstract

In pandemic conditions such as COVID-19, the measurement of vital signs such as body temperature and heart rate becomes the basis for conducting health screenings. To reduce physical contact and potential hazards, this measurement process can be carried out non-contact. The non-contact measurements carried out in this study used a thermal imaging approach. To reduce the potential danger of transmission, this non-contact measurement device is applied to a security robot. The non-contact measurement method using thermal imaging is done by processing a thermal image on the forehead area. Changes in temperature in the forehead area are then entered into a bandpass filter with a frequency of 0.75 Hz to 3 Hz, which is the frequency range of the human heartbeat under normal circumstances. Calculating heart rate is carried out with two approaches, namely peak to peak interval and fast Fourier transform. Based on the peak-to-peak interval approach, the accuracy is 89.24%, with a standard deviation of 5.6. Meanwhile, with the dominant frequency detection approach using the fast Fourier transform, the accuracy value is slightly better, at 91.84%, with a standard deviation of 4.81.

References

B. Chen, S. Marvin, and A. While, “Containing COVID-19 in China: AI and the robotic restructuring of future cities,†Dialogues Hum. Geogr., vol. 10, no. 2, pp. 238–241, Jul. 2020, doi: 10.1177/2043820620934267.

M. Javaid, A. Haleem, A. Vaish, R. Vaishya, and K. P. Iyengar, “Robotics Applications in COVID-19: A Review,†J. Ind. Integr. Manag., vol. 05, no. 04, pp. 441–451, Dec. 2020, doi: 10.1142/S2424862220300033.

F. Isbaniah and A. D. Susanto, “Pneumonia Corona Virus Infection Disease-19 (COVID-19),†J. Indones. Med. Assoc., vol. 70, no. 4, Art. no. 4, May 2020.

D. A. Berlin, R. M. Gulick, and F. J. Martinez, “Severe Covid-19,†N. Engl. J. Med., vol. 383, no. 25, pp. 2451–2460, Dec. 2020, doi: 10.1056/NEJMcp2009575.

R. R. Setiawan and M. Syafaat, “PENDETEKSI SUSPECT COVID-19 BERDASARKAN DETAK JANTUNG PADA RANCANG BANGUN POLTEKAD ELECTRONIC DETECTOR COVID-19 MENGGUNAKAN METODE PHOTOPLETHYSMOGRAPHY (PPG),†J. Elkasista, vol. 2, no. Mei, Art. no. Mei, May 2021.

D. J. Miller et al., “Analyzing changes in respiratory rate to predict the risk of COVID-19 infection,†PLOS ONE, vol. 15, no. 12, p. e0243693, Dec. 2020, doi: 10.1371/journal.pone.0243693.

E. Kerr, T. M. McGinnity, S. Coleman, and A. Shepherd, “Human vital sign determination using tactile sensing and fuzzy triage system,†Expert Syst. Appl., vol. 175, p. 114781, Aug. 2021, doi: 10.1016/j.eswa.2021.114781.

H. Lee, H. Ko, H. Chung, and J. Lee, “Robot Assisted Instantaneous Heart Rate Estimator using Camera based Remote Photoplethysmograpy via Plane-Orthogonal-to-Skin and Finite State Machine,†in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), Jul. 2020, pp. 4425–4428. doi: 10.1109/EMBC44109.2020.9176648.

S. Coşar, Z. Yan, F. Zhao, T. Lambrou, S. Yue, and N. Bellotto, “Thermal Camera Based Physiological Monitoring with an Assistive Robot,†in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2018, pp. 5010–5013. doi: 10.1109/EMBC.2018.8513201.

Y. Nakayama, G. Sun, S. Abe, and T. Matsui, “Non-contact measurement of respiratory and heart rates using a CMOS camera-equipped infrared camera for prompt infection screening at airport quarantine stations,†in 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Jun. 2015, pp. 1–4. doi: 10.1109/CIVEMSA.2015.7158595.

Q. Zhang, Y. Zhou, S. Song, G. Liang, and H. Ni, “Heart Rate Extraction Based on Near-Infrared Camera: Towards Driver State Monitoring,†IEEE Access, vol. 6, pp. 33076–33087, 2018, doi: 10.1109/ACCESS.2018.2845390.

W. Wang, A. C. den Brinker, S. Stuijk, and G. de Haan, “Algorithmic Principles of Remote PPG,†IEEE Trans. Biomed. Eng., vol. 64, no. 7, pp. 1479–1491, Jul. 2017, doi: 10.1109/TBME.2016.2609282.

O. Perepelkina, M. Artemyev, M. Churikova, and M. Grinenko, “HeartTrack: Convolutional neural network for remote video-based heart rate monitoring,†in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun. 2020, pp. 1163–1171. doi: 10.1109/CVPRW50498.2020.00152.

M. Kopeliovich, Y. Mironenko, and M. Petrushan, “Architectural Tricks for Deep Learning in Remote Photoplethysmography,†ArXiv191102202 Cs, Nov. 2019, Accessed: Nov. 01, 2021. [Online]. Available: http://arxiv.org/abs/1911.02202

C. Barbosa Pereira, M. Czaplik, V. Blazek, S. Leonhardt, and D. Teichmann, “Monitoring of Cardiorespiratory Signals Using Thermal Imaging: A Pilot Study on Healthy Human Subjects,†Sensors, vol. 18, no. 5, p. 1541, May 2018, doi: 10.3390/s18051541.

Y. Kim, Y. Park, J. Kim, and E. C. Lee, “Remote Heart Rate Monitoring Method Using Infrared Thermal Camera,†p. 8.

Downloads

Published

2022-01-25

Issue

Vol. 6 No. 1 (2022): Januari 2022

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).