Skip to main content

Anthropomorphic EMG-Driven Prosthetic Hand

  • Conference paper
  • First Online:
Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2019)

Abstract

Hazards in industry, wars and serious medical reasons determined the increase of the number of amputations and, thus, the need for designing prosthetics that replace the missing segment by imitating its natural movements. Research in prosthetics domain became, consequently, a primary activity both for engineers and physicians. Due to structural and functional acclimation to the complexity of human activities, one of the most difficult to approach limb of the human body is the hand. This paper is aimed to design an anthropomorphic prosthetic hand controlled based on surface electromyography sensors data acquired from two important muscles: flexor pollicis longus muscle and flexor digitorum profundus muscle. Another purpose of the paper consists in providing two main functions of the prosthetic hand, prehension and fingers flexion.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Amputee statistics you ought to know. http://advancedamputees.com/amputee-statistics-you-ought-know. Accessed 06 June 2018

  2. Clement, R.G.E., Bugler, K.E., Oliver, C.W.: Bionic prosthetic hands: a review of present technology and future aspirations. Surg. J. 9, 336–340 (2011)

    Google Scholar 

  3. Atasoy, A., Kaya, E., Toptas, E., Kuchimov, S., Kaplanoglu, E., Ozkan, M.: 24 DOF EMG controlled hybrid actuated prosthetic hand. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5059–5062 (2016)

    Google Scholar 

  4. Norton, K.M.: A brief history of prosthetics. inMotion Mag. 17(7). www.amputee-coalition.org/resources/a-brief-history-of-prosthetics/. Accessed 20 Aug 2018

  5. Zuo, K.J., Olson, J.R.: The evolution of functional hand replacement: From iron prostheses to hand transplantation. Plast. Surg. J. (Oakv) 2(1), 44–51 (2014)

    Article  Google Scholar 

  6. Lee, K.H., Bin, H., Ahn, S.Y., Kim, B.-O., Bok, S.-K., Wang, J.: Hand functions of myoelectric and 3D-printed pressure-sensored prosthetics: a comparative study. Ann. Rehabil. Med. 41(5), 875–880 (2017)

    Article  Google Scholar 

  7. García Plaza, E., Núñez López, P.J.: Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations. Mech. Syst. Signal Process. 98, 902–918 (2018)

    Article  Google Scholar 

  8. Kocejko, T., Ruminski, J., Przystup, P., Polinski, A., Wtorek, J.: The role of EMG module in hybrid interface of prosthetic arm. In: 2017 10th International Conference on Human System Interactions (HSI), pp. 36–40 (2017)

    Google Scholar 

  9. Mahanth, G.N., Sachin, B.C., Kumar, J.S., Vinay, S.N., Sompur, V.P.: Design of prosthetic finger replacements using surface EMG signal acquisition. In: 2014 Texas Instruments India Educators’ Conference (TIIEC), pp. 100–104 (2014)

    Google Scholar 

  10. Sharmila, K., Sarath, T.V., Ramachandran, K.I.: EMG controlled low cost prosthetic arm. In: 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), pp. 169–172 (2016)

    Google Scholar 

  11. Kawano, T., Koganezawa, K.: A method of discriminating fingers and wrist action from surface EMG signals for controlling robotic or prosthetic forearm hand. In: 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 13–18 (2016)

    Google Scholar 

  12. Mills, K.R.: The basics of electromyography. J. Neurol. Neurosurg. Psychiatry 76(Suppl. II), ii32–ii35 (2005)

    Google Scholar 

  13. Kumar, S., Mital, A. (eds.): Electromyography In Ergonomics. CRC Press, London (1996)

    Google Scholar 

  14. Vavrinsky, E., et al.: Electrode configuration for EMG measurements. In: The 8th International Conference on Advanced Semiconductor Devices and Microsystems, pp. 203–206 (2010)

    Google Scholar 

  15. Di, R.: Needle electromyography: basic concepts and patterns of abnormalities. Neurol. Clin. J. 30(2), 429–456 (2012)

    Article  Google Scholar 

  16. Loeb, G., Ghez, C.: The motor unit and the muscle action. In: Principles of Neural Science, p. 675 (2000)

    Google Scholar 

  17. Beneteau, A., Di Caterina, G., Petropoulakis, L., Soraghan, J.J.: Low-cost wireless surface EMG sensor using the MSP430 microcontroller. In: 2014 6th European Embedded Design in Education and Research Conference (EDERC), pp. 264–268 (2014)

    Google Scholar 

  18. Nishihara, K., Isho, T.: Location of electrodes in surface EMG. In: Schwartz, M. (ed.) EMG Methods for Evaluating Muscle and Nerve Function. IntechOpen. https://www.intechopen.com/books/emg-methods-for-evaluating-muscle-and-nerve-function/location-of-electrodes-in-surface-emg

  19. Fauzani, N.J., et al.: Two electrodes system: Performance on ECG FECG and EMG detection. In: 2013 IEEE Student Conference on Research and Developement, pp. 506–510 (2013)

    Google Scholar 

  20. Nazmi, N., et al.: A review of classification techniques of EMG signals during isotonic and isometric contractions. Sens. (Basel) 16(8), 1304. http://doi.org/10.3390/s16081304E

  21. Gordon, D., Robertson, E.: Electromyography: Recording. http://health.uottawa.ca/biomech/courses/apa4311/emg-p1.pps. Accessed 01 Sept 2018

Download references

Acknowledgments

This work was supported by a grant of the Ministry of Innovation and Research, UEFISCDI, project number 33PCCDI/01.03.2018 within PNCDI III, Platform of multi-agent intelligent systems for water quality monitoring on Romanian sector of Danube and Danube Delta (MultiMonD2), and partially funded under contract no. 5Sol/2017 within PNCDI III, Integrated Software Platform for Mobile Malware Analysis (ToR-SIM).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana-Maria Claudia Drăgulinescu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Coman, I., Drăgulinescu, AM.C., Bucur, D., Drăgulinescu, A., Halunga, S., Fratu, O. (2019). Anthropomorphic EMG-Driven Prosthetic Hand. In: Poulkov, V. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-23976-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23976-3_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23975-6

  • Online ISBN: 978-3-030-23976-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics