Skip to main content

Neurodegenerative Disorders Screening System using ‘Intelligent’ Sensors

  • Conference paper
  • First Online:
Soft Computing Applications (SOFA 2020)

Abstract

This paper presents a network of interdigital capacitive sensors, assisted by two optical sensors embedded in the collar of a coat that monitors the movements of the wearer’s head which represents a method of early detection of increased values of the head’s tremor. This system aims to help monitor the head’s tremor to people predictable to Parkinson’s Disease where the main condition is the upper limbs and head’s tremor. During these experiments, the sensors have been created and the parameters were calibrated to obtain the best results. The network is described, and preliminary experimental results are reported.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Teodorescu, H.-N.: Textile-, conductive paint-based wearable devices for physical activity monitoring. In: Proceedings of the EHB 2013. International Conference on EHealth and Bioengineering EHB 2013, Iasi, 21–23 November 2013

    Google Scholar 

  2. Hagan, M.: Microcontroller data measurement and processing systems for medical applications, Iasi (2011)

    Google Scholar 

  3. Heusinkveld, L., Hacker, M., Turchan, M., Davis, T., Charles, D.: Impact of tremor on patients with early stages Parkinson’s Disease (2018). https://doi.org/10.3389/fneur.2018.00628

    Article  Google Scholar 

  4. Vornicu, L.: Sensors and Traductors. Politehnium, Iasi (2006)

    Google Scholar 

  5. Hăgan, M., Teodorescu, H.-N.: Intelligent clothes with a network of painted sensors. In: Proceedings of the 4th IEEE International Conference on Ehealth and Bioengineering (EHB), Iasi, Romania, 21–23 November 2013

    Google Scholar 

  6. Patel, S., Park, H., Bonato, P., Chan, L., Rodgers, M.: A review of wearable sensors and systems with application in rehabilitation. J. Neuro-Eng. Rehabil. 9, 21–38 (2012). https://doi.org/10.1186/1743-0003-9-21 (17 pages. 1–17)

  7. Guay, P., Gorgutsa, S., LaRochelle, S., Messaddeq, Y.: Wearable contactless respiration sensor based on multi-material fibers integrated into textiles. Sensors 17(5), 1050 (2017)

    Article  Google Scholar 

  8. Karalekas, D.: On the use of FBG sensors for measurement of curing strains in photocurable resins. Rapid Prototyping J. 14(2), 81–86 (2008). https://doi.org/10.1108/13552540810862037

    Article  Google Scholar 

  9. Zheng, J., et al.: Phase-controlled superimposed FBGs and their applications in spectral-phase en/decoding. Optics Express 19(9), 8580 (2011). https://doi.org/10.1364/OE.19.008580

    Article  Google Scholar 

  10. Engin, M., Demirel, A., Engi, E.Z., Fedakar, M.: Recent developments and trends in biomedical sensors. Elsevier (2004)

    Google Scholar 

  11. Kiekens, P., Jayaraman, S. (eds.): Intelligent Textiles and Clothing for Ballistic and NBC Protection: Technology at the Cutting Edge. Springer, Dordrecht (2012)

    Google Scholar 

  12. Tormene, P., et al.: Estimation of human trunk movements by wearable strain sensors and improvement of sensor’s placement on intelligent biomedical clothes. BioMed. Eng. OnLine 11(1) (2012). https://doi.org/10.1186/1475-925X-11-95

  13. Lobnik, A.: Wearable optical chemical sensors. In: Kiekens, P., Jayaraman, S. (eds.) Intelligent Textiles and Clothing for Ballistic and NBC Protection. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-0576-0_2

  14. Pantelopoulos, A., Bourbakis, N.G.: A survey on wearable sensor based systems for health monitoring and prognosis. IEEE Trans. Syst. Man Cybernet. C 40(1), 1–12 (2010)

    Google Scholar 

  15. Lee, Y.D., Chung, W.Y.: Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring. Sens. Actuators B Chem. 140(2), 390–395 (2009)

    Article  Google Scholar 

  16. Rahman, A., Bin, M.S.: Novel planar interdigital sensors for the detection of bacterial endotoxins: a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy (Electronics Engineering at Massey University, Palmerston North, New Zeeland, 2012)

    Google Scholar 

  17. Mukhopadhyay, S.C.: Novel Planar Electromagnetic Sensors: Modeling and Performance Evaluation (Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zeeland 2005)

    Google Scholar 

  18. McAdams, E., Gehin, C., Massot, B., McLaughlin, I.: The challenges facing wearable sensor systems. In: Blobel, B., Pharow, P., Sousa, F. (eds.) Studies in Health Technology and Informatics Proc. 2012 pHealth Conf., vol. 177, pp. 196–202 (2012)

    Google Scholar 

  19. Patel, S., Lorincz, K., Hughes, R., Huggins, N.: Analysis of feature space for monitoring persons with Parkinson’s disease with application to a wireless wearable sensor system. In: Proceedings of the Conference on IEEE Engineering in Medicine and Biology Society, p. 629, 1–4 (2007)

    Google Scholar 

  20. Izdrui D.-R., Hăgan M.G., Geman O., Postolache O., Alexandre R.: Smart sensing systems for in-home health status and emotional well-being monitoring during COVID-19, chapter 11 in book “Biomedical Engineering Tools for Management for Patients with COVID-19”, pg. 179. Elsevier (2021)

    Google Scholar 

  21. Kan, C.-W., Lam, Y.-L.: Future trend in wearable electronics in the textile industry. Appl. Sci. 11, 3914 (2021). https://doi.org/10.3390/app11093914

    Article  Google Scholar 

  22. Sun M., et al.: An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. J. Healthc. Eng. 6(1), 1–22 (2015). https://doi.org/10.1260/2040-2295.6.1.1

  23. Jiang, S., Ren, Q.: Application of sensors in intelligent clothing design. Int. J. Online Eng. (iJOE) 14(06), 4 (2018). https://doi.org/10.3991/ijoe.v14i06.8694

    Article  Google Scholar 

  24. Schena, E., et al.: Smart textile based on fiber bragg grating sensors for respiratory monitoring: design and preliminary trials. Biosensors, 602–615 (2015). https://doi.org/10.3390/bios5030602

  25. Gong, Z., et al.: Wearable Fiber Optic Technology Based on Smart Textile: A Review, MDPI Materials, October 2019

    Google Scholar 

  26. Lenka, A., Jankovic, J.: Tremor syndromes: an updated review. Front. Neurol. (2021). https://doi.org/10.3389/fneur.2021.684835

    Article  Google Scholar 

  27. Mohd Syaifudin, A.R., Yunus, M.A., Mukhopadhyay, S.C., Jayasundera K.P.: A novel planar interdigital sensor for environmental monitoring. In: IEEE Sensors (2009)

    Google Scholar 

  28. Xiang, Y.: Further study on electrostatic capacitance of an inclined plate capacitor. J. Electrostat. 66(7–8), 366–368 (2008)

    Article  Google Scholar 

  29. Bueno-Barrachina, J.-M., Canas-Penuelas, C.-S., Catalan-Izquierdo, S., Cavalle-Sese, F.: Capacitance evaluation on perpendicular plate capacitors by means of finite element analysis. In: Conference on Renewable Energies and Power Quality (ICREPQ) (2009). http://www.icrepq.com/ICREPQ'09/452-barrachina.pdf

  30. Gao, L., Zhao, D.: The fringing capacitance of an inclined plate capacitor. Fundamental J. Math. Phys. 2(1), 11–17 (2012)

    Google Scholar 

  31. Teodorescu, M., Teodorescu, H.-N.: Capacitive interdigital sensors for flexible enclosures and wearables. In: 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, pp. 1–6 (2020). https://doi.org/10.23919/AE49394.2020.9232783

  32. Thayne I., Elgaid K., Ternent G.: Devices and fabrication technology. In: Robertson, I.D., Lucyzyn, S. (eds.) RFIC and MMIC Design and Technology. IET, chap. 2, pp. 40–41 (2001)

    Google Scholar 

  33. Bahl, I.J.: Lumped Elements for RF and Microwave Circuits, chap. 7, p. 229. Artech House (2003)

    Google Scholar 

  34. Roze, E., et al.: Head tremor in Parkinson’s disease. Mov. Disord. 21(8), 1245–1248 (2006)

    Article  Google Scholar 

  35. Adams, J.L., et al.: A real-world study of wearable sensors in Parkinson’s disease. Nature npj Parkinson’s Disease 7, 106 (2021). https://doi.org/10.1038/s41531-021-00248-w

    Article  Google Scholar 

  36. Hagan, M., Geman, O.: A wearable system for tremor monitoring and analysis. Proc. Romanian Acad. A 17(1), 90–98 (2016)

    Google Scholar 

  37. . Schätz, M., et al.: Statistical recognition of breathing by MS Kinect depth sensor. In: 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), pp. 1–4 (2015). https://doi.org/10.1109/IWCIM.2015.7347062

  38. Chiuchisan, I., Geman, O., Chiuchisan, I., Iuresi, A.C., Graur, A.: NeuroParkinScreen — a health care system for Neurological Disorders Screening and Rehabilitation. In: 2014 International Conference and Exposition on Electrical and Power Engineering (EPE), pp. 536–540 (2014). https://doi.org/10.1109/ICEPE.2014.6969966

  39. Hnatiuc, M., Geman, O., Avram, A.G., Gupta, D., Shankar, K.: Human signature identification using IoT technology and gait recognition. Electronics 10, 852 (2021). https://doi.org/10.3390/electronics10070852

    Article  Google Scholar 

  40. Chiuchisan, I., Geman, O., Prelipceanu, M., Costin, H.-N.: Health care system for monitoring older adults in a “green” environment using organic photovoltaic devices. Environ. Eng. Manage. J. (EEMJ) 15(12), 214–265 (2016)

    Google Scholar 

Download references

Acknowledgement

We thank to Academician Professor Horia-Nicolai Teodorescu for unconditional support in all the research done in this field.

Funding

No funding involved in this research.

Author information

Authors and Affiliations

Authors

Contributions

All the authors also contributed to writing, original draft preparation, designing, analysis, editing, reviewing, and structured the work. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Oana Geman .

Editor information

Editors and Affiliations

Ethics declarations

The authors declare no conflicts of interest.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Izdrui, DR., Hagan, M.G., Geman, O. (2023). Neurodegenerative Disorders Screening System using ‘Intelligent’ Sensors. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_8

Download citation

Publish with us

Policies and ethics