You are using an outdated browser. For a faster, safer browsing experience, upgrade for free today.

Modern capabilities of telebiometric monitoring studies of the functional state of the organism of the human. Review. Part II - sensory systems

Modern capabilities of telebiometric monitoring studies of the functional state of the organism of the human. Review. Part II - sensory systems

ISSN 2223-6775 Ukrainian journal of occupational health Vol.18, No 4, 2022


https://doi.org/10.33573/ujoh2022.04.339

Modern capabilities of telebiometric monitoring studies of the functional state of the organism of the human. review. Part II - sensory systems

Nikolov M.O.1,2, Soloviov O.I.1, Burkovskyi Y.O.1,2
1State Institution «Kundiiev Institute of Occupational Health of the National Academy of Medical Sciences of Ukraine», Kiyv, Ukraine
2National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kiyv, Ukraine


 Full article (PDF): ENG / UKR

Introduction. The sensory aspect of the telebiometric multimodal model (TMM sensory layer) is considered in the scientific literature as an identifier of human sensations that cause or manifest incoming or outgoing influences when a person interacts with the environment. Of particular importance in this sense is the study of the functional state of the body of persons employed in risky industries, where the establishment of a causal relationship between the influence of the working environment and the state of health of workers has the highest socio-economic cost. In addition, research in this direction may be relevant for assessing the functional state of the body of the military, rescuers, firefighters and other professions where there is a need for remote monitoring of critical physiological indicators in order to prevent dangerous biomedical consequences.

The purpose of the study is a review of monitoring systems, such as "smart vests", helmet-mounted sensor systems, eye-tracking, systems on a skin-conformal platform, which can be used to study the physiological state of workers in hazardous occupations.

Materials and methods of research. Information search was carried out in the Internet search engines and specialized electronic databases: google.com, Scholar, PubMed, Mendeley, eLIBRARY.

Results. The presented review contains subsections: "Smart vests" - in which sensors can be embedded to record various physiological parameters; Helmet-mounted sensor systems – where real-time monitoring of concussion and cognitive changes is considered; Skin-conformal platforms are very thin sensor systems superimposed on the surface of the skin to measure temperature, sweat composition, electrical characteristics, etc.; eye-tracking systems - eye movement monitoring. The possibilities of 3D printing for individualization of measurement conditions are also mentioned.

Conclusions. It has been established that the improvement of methods for monitoring the functional state of the body of persons employed in risky professions is possible with the introduction into medical practice of remote methods for measuring physiological data using telecommunication systems, among them: states; to assess the neurocognitive state, stimulate and control behavior during training and physiological testing - "smart glasses" (eye-tracking systems); to control individual indicators, such as temperature measurement, intensity and composition of sweating - skin-conformal sensors.

Keywords: telebiometrics, smart vests, eye-tracking, skin-conforming platforms, monitoring.

References

  1. Nikolov, N. A., Soloviov, O. I., Burkovskyi., Y. A., (2022), " Modern capabilities of telebiometric monitoring studies of the functional state of the organism of the human. Review. Part I - Wearable Technology", Ukrainian journal of Occupational Health, No. 2. P.155-166. https://doi.org/10.33573/ujoh2022.02.155
  2. DSTU IEC 80000-14:2016 (IEC 80000-14:2008, IDT) (2018),QUANTITIES AND UNITS. Part 14. Telebiometrics related to human physiology. Kyiv. 2018. 58 p.
  3. NASA's Technology Transfer Program available at: https://technology.nasa.gov/
  4. Ryimar, E., "Umnyie zhiletyi" dlya rabotnikov skladov". available at: https://getsiz.ru/umnye-zhilety-dlya-rabotnikov-skladov.html
  5. Elbarbary, E., Zekry, A.A., Elbehiery, H., (2016), "Artificial Intelligence Helping Visually Impaired People", Publisher: LAMBERT Academic Publishing, pp. 148. available at: https://www.researchgate.net/publication/306229050_Artificial_Intelligence_Helping_Visually_Impaired_People/citations
  6. Bonfiglio, A., Carbonaro, N., Curone D. et al. (2009), "Proetex: protective e-textiles to enhance the safety of emergency/disaster operators: current state of the projects' achievements", International Conference on Latest Advances in High-Tech Textiles and Textile, Based Materials, 2009, pp. 9. available at: https://www.semanticscholar.org/paper/Proetex%3A-protective-e-textiles-to-enhance-the-of-of-Bonfiglio-Carbonaro/5081568dfe09658c4a26fe350de356f88409e67c#paper-header
  7. Magenes, G., Curone, D., Secco, E. L., Bonfiglio A., "The ProeTEX prototype: a wearable integrated system for physiological & environmental monitoring of emergency operators". available at: https://www.academia.edu/13420608/The_ProeTEX_prototype_a_wearable_integrated_system_for_physiological_and_environmental_monitoring_of_emergency_operators
  8. Reiffenrath,M., Hoerr,M., Gries,T.(2015),"Smart Protective Clothing for Law Enforcement Personnel", Materials Science. Textile and Clothing Technology, 9, pp. 64. https://doi.org/10.7250/mstct.2014.010
  9. Scataglini,S., Andreoni,G., and Gallant,J.(2015),"A Review of Smart Clothing in Military", Proceedings of the 2015 Workshop on Wearable Systems and Applications - WearSys '15, pp.53-54. https://doi.org/10.1145/2753509.2753520
  10. Friedl, K. E., Buller M. J., Tharion W. J., et al., "Real Time Physiological Status Monitoring (RT-PSM): Accomplishments, Requirements, and Research Roadmap", (Technical Note TN-16-2). Natick, MA: United States Army Research Institute of Environmental Medicine. AD A630142. available at: https://www.researchgate.net/publication/303432506_Real_Time_Physiological_Status_Monitoring_RT-PSM_Accomplishments_Requirements_and_Research_Roadmap
  11. Schlenker, J., Socha, V., Smrcka, P. et al. (2015), "FlexiGuard: Modular biotelemetry system for military applications", International Conference on Military Technologies (ICMT) 2015. https://doi.org/10.1109/MILTECHS.2015.7153712
  12. Kutilek, P., Volf, P., Viteckova, S. et al. (2017), "Wearable systems for monitoring the health condition of soldiers: Review and application", 2017 International Conference on Military Technologies (ICMT). https://doi.org/10.1109/MILTECHS.2017.7988856
  13. Rajsp, A., and Fister,I. (2020),"A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training", Applied Sciences, 10(9), pp. 3013. https://doi.org/10.3390/app10093013
  14. Ray, P. P. (2017),"An IR Sensor Based Smart System to Approximate Core Body Temperature", Journal of Medical Systems, 41(8), pp. 1-10. https://doi.org/10.1007/s10916-017-0770-z
  15. Stubblefield, Z. M., Cleary, M. A., Garvey, S.E. and Eberman, L. E. (2006), "Effects of active hyperthermia on cognitive performance", Proceedings of the Fifth Annual College of Education Research Conference: Section on Allied Health Professions. April 2006, Miami: Florida International University, p. 25-50. available at: http://coeweb.fiu.edu/research_conference/ https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1228&context=sferc
  16. Gosselin J., Béliveau J., Hamel, M. et al. (2019), "Wireless measurement of rectal temperature during exercise: Comparing an ingestible thermometric telemetric pill used as a suppository against a conventional rectal probe", Journal of Thermal Biology, 83, pp. 112-118. https://doi.org/10.1016/j.jtherbio.2019.05.010
  17. Potter, A. W., Looney, D. P., Hancoc, J. W. et al. (2021),"Heat Strain Decision Aid (HSDA): Review of input ranges, default values, and example inputs and outputs for verification of external implementation", pp. 31. https://doi.org/10.13140/RG.2.2.15718.96324
  18. Boehm, A., Yu, X., Neu, W. et al. (2016),"A Novel 12-Lead ECG T-Shirt with Active Electrodes", Electronics, 5(4), pp. 75. https://doi.org/10.3390/electronics5040075
  19. Massaroni,C., Venanzi,C., Silvatti,A. P. et al. (2018),"Smart textile for respiratory monitoring and thoraco-abdominal motion pattern evaluation", Journal of Biophotonics, 11(5), pp. e201700263. https://doi.org/10.1002/jbio.201700263
  20. Khundaqji,H., Hing,W., Furness,J.(2020), "Smart Shirts for Monitoring Physiological Parameters: Scoping Review", JMIR mHealth and uHealth, 8(5), pp. e18092. https://doi.org/10.2196/18092
  21. Cheriyan, A. M., Jarvi,A. O., Kalbarczyk,Z. et al. (2009),"Pervasive embedded systems for detection of traumatic brain injury", Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. https://doi.org/10.1109/ICME.2009.5202849
  22. Huang, C., Huang, R. H., and Majid, B. Y.(2021),"Traumatic brain injury risk assessment with smart technology", The Journal of Defense Modeling and Simulation: Applications, pp. 154851292110085. https://doi.org/10.1177/15485129211008529
  23. Schmid, W., Fan, Y., Chi, T. et al. (2021),"Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries", Journal of Neural Engineering, 18(4), pp. 041006. https://doi.org/10.1088/1741-2552/ac1982
  24. Sim, D., Brothers, M. C., Slocik, J. M. et al. (2022),"Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review", Advanced Science, 9(7), pp. 2104426. https://doi.org/10.1002/advs.202104426
  25. Xu, C., Yang, Y., and Gao, W.(2020),"Skin-Interfaced Sensors in Digital Medicine: from Materials to Applications", Matter, 2(6), pp. 1414--1445. https://doi.org/10.1016/j.matt.2020.03.020
  26. Imani, S., Bandodkar, A. J., Mohan, A. M. V. et al. (2016),"A wearable chemical- ectrophysiological hybrid biosensing system for real-time health and fitness monitoring", Nature Communications, 7(1), pp. . https://doi.org/10.1038/ncomms11650
  27. Terse-Thakoor,T., Punjiya,M., Matharu,Z. et al. (2020),"Thread-based multiplexed sensor patch for real-time sweat monitoring", npj Flexible Electronics, 4(1), pp. . https://doi.org/10.1038/s41528-020-00081-w
  28. "Electronic Skin Patch Market - Growth, Trends, Covid-19 Impact, And Forecasts (2022 - 2027)". available at: https://www.mordorintelligence.com/industry-reports/electronic-skin-patch-market
  29. "Electronic Skin Patches Market Research Report, By Component (Stretchable Circuits, Stretchable Conductors, Electro-active Polymers, Others), Application (Diabetes Management), and End User (Pharmacies, Online Channel, Others)- Forecast till 2027", 2021. available at: https://www.marketresearchfuture.com/reports/electronic-skin-patches-market-7568
  30. Kim, H., Kim,S., Lee,M. et al. (2021),"Smart Patch for Skin Temperature: Preliminary Study to Evaluate Psychometrics and Feasibility", Sensors, 21(5), pp. 1855. https://doi.org/10.3390/s21051855
  31. Lee, J., Choi, Y., Jang, J. et al. (2020),"High sensitivity flexible paper temperature sensor and body-attachable patch for thermometers", Sensors and Actuators A: Physical, 313, pp. 112205. https://doi.org/10.1016/j.sna.2020.112205
  32. Verma, N., Haji-Abolhassani, I., Ganesh, S. et al. (2021),"A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection", IEEE Journal of Translational Engineering in Health and Medicine, 9, pp. 1--7. https://doi.org/10.1109/JTEHM.2021.3098127
  33. Hillen, B., Pfirrmann, D., Nägele, M., Simon, P. (2019), "Infrared Thermography in Exercise Physiology: The Dawning of Exercise Radiomics", Sports Medicine, 50(2), pp. 263 - 282. https://doi.org/10.1007/s40279-019-01210-w
  34. Orel, V. E., Nikolov, N. A., Kotovsy, V.I. et al. (2012), "Kompyuternyiy strukturnyiy analiz patternov teplovogo polya v tkanyah organizma pri vozdeystvii radiochastotnoy umerennoy gipertermii", Electronics and Communications, 70(5), pp. 15-23. https://doi.org/10.20535/2312-1807.2012.17.5.217942
  35. Loshitskiy, P.P. and Mynziak, D.Y. (2013), "Non-invasive method of determining of blood sugar", Electronics and Communications, (6), pp. 31-42. https://doi.org/10.20535/2312-1807.2013.18.5.142743
  36. Yarbus, A. L. (1965), Rol dvizheniy glaz v protsesse zreniya, Moscow, Nauka, 173 p.
  37. Lai, M., Tsai, M., Yang, F. et al. (2013),"A review of using eye-tracking technology in exploring learning from 2000 to 2012", Educational Research Review, 10, pp. 90--115. https://doi.org/10.1016/j.edurev.2013.10.001
  38. Armstrong, T., and Olatunji,B. O.(2012),"Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis", Clinical Psychology Review, 32(8), pp. 704--723. https://doi.org/10.1016/j.cpr.2012.09.004
  39. Homayounfar, S. Z., Rostaminia,S., Kiaghadi,A. et al. (2020),"Multimodal Smart Eyewear for Longitudinal Eye Movement Tracking", Matter, 3(4), pp. 1275--1293. https://doi.org/10.1016/j.matt.2020.07.030
  40. Carter, B. T., and Luke, S. G.(2020), "Best practices in eye tracking research", International Journal of Psychophysiology, 155, pp. 49--62. https://doi.org/10.1016/j.ijpsycho.2020.05.010
  41. Nikolaeva, E., and Sutormina, N. (2020), "Okulografiya kak psihologicheskiy instrument: parametry i ih psihologicheskoe i psihofiziologicheskoe obespechenie", Vestnik psihofiziologii, (3), pp.42-56. https://doi.org/10.34985/G9536-2433-1133-b
  42. Soloviova, V. A., Venig, S. B., and Belykh, T. V. (2021),"Analysis of Students' Oculomotor Activity Observed when Reading from the PC Screen", Integration of Education, 25(1), pp. 91--109. https://doi.org/10.15507/1991-9468.102.025.202101.091-109
  43. Lim, J. Z., Mountstephens, J., and Teo, J.(2020),"Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges", Sensors, 20(8), pp. 2384. https://doi.org/10.3390/s20082384
  44. Ehinger, B. V., Gros, K., Ibs, I. (2019), "A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000", PeerJ, 7, pp. e7086. https://doi.org/10.7717/peerj.7086
  45. Beach, P., and McConnel, J. (2018), "Eye tracking methodology for studying teacher learning: a review of the research", International Journal of Research & Method in Education, 42(5), pp. 485--501. https://doi.org/10.1080/1743727X.2018.1496415
  46. Stevenson, K. (2021), "3D Printed Wearable Personalized Sensors Developed". available at: https://www.fabbaloo.com/news/3d-printed-wearable-personalized-sensors-developed
  47. Kwok, S. W., Goh, K. H. H., Tan, Z. D. et al. (2017),"Electrically conductive filament for 3D-printed circuits and sensors", Applied Materials Today, 9, pp. 167--175. https://doi.org/10.1016/j.apmt.2017.07.001
  48. Chatterjee, K., and Ghosh, T. K. (2019), "3D Printing of Textiles: Potential Roadmap to Printing with Fibers", Advanced Materials, 32(4), pp. 1902086. https://doi.org/10.1002/adma.201902086