Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study

  • Mahdi Abbasi
  • Aref Afsharfard
  • Roya Arasteh
  • Javad Safaie
Original Article
  • 180 Downloads

Abstract

This paper presents the design and simulation of a handheld device for people with hand tremor, such as Parkinson’s and essential tremor patients. This device can be used as a pen for smartphones or as a spoon. The designed system includes two links, which are connected to two servomotors, which are mounted in orthogonal directions. To attenuate the effect of hand tremor on the tip of device, PID and computed torque methods are used to actively control the system. These controllers are used to control the rotation of the motors for moving the links in opposite directions of the hand tremor. Performance of the device with mentioned controllers is studied for different applications and finally, the results of both controllers are discussed and compared. Based on the presented results in this study, the designed device is able to suppress the hand tremor up to 75% during eating and 65% during following a spiral pattern.

Graphical abstract

Design of a noninvasive and smart hand tremor attenuation system: a simulation study

Keywords

Parkinson’s Essential tremor Active control 

References

  1. 1.
    Baker MG, Graham L (2004) The journey: Parkinson’s disease. BMJ 329(7466):611–614.  https://doi.org/10.1136/bmj.329.7466.611CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    Bhidayasiri R (2005) Differential diagnosis of common tremor syndromes. Postgrad Med J 81(962):756–762.  https://doi.org/10.1136/pgmj.2005.032979CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Bó APL, Poignet P (2010) Tremor attenuation using FES-based joint stiffness control. In: Robotics and Automation (ICRA), 2010 I.E. International Conference on, 2010. IEEE, pp 2928–2933Google Scholar
  4. 4.
    Buki E, Katz R, Zacksenhouse M, Schlesinger I (2017) Vib-bracelet: a passive absorber for attenuating forearm tremor. Med Biol Eng Comp.  https://doi.org/10.1007/s11517-017-1742-7
  5. 5.
    Case D, Taheri B, Richer E (2013) Design and characterization of a small-scale magnetorheological damper for tremor suppression. IEEE/ASME Trans Mechatronics 18(1):96–103.  https://doi.org/10.1109/TMECH.2011.2151204CrossRefGoogle Scholar
  6. 6.
    Crawford P, Zimmerman EE (2011) Differentiation and diagnosis of tremor. Am Fam Physician 83:697PubMedGoogle Scholar
  7. 7.
    Dahlin-Webb SR (1986) A weighted wrist cuff. Am J Occup Ther 40(5):363–364.  https://doi.org/10.5014/ajot.40.5.363CrossRefPubMedGoogle Scholar
  8. 8.
    Deuschl G, Bain P, Brin M (1998) Consensus statement of the Movement Disorder Society on tremor. Ad Hoc Scientific Committee. Mov Disord 13(Suppl 3):2–23PubMedGoogle Scholar
  9. 9.
    Hall WD (1991) Hand-held gyroscopic device. US Patent 5,058,571, 22 Oct, 1991Google Scholar
  10. 10.
    Hashemi SM, Golnaraghi MF, Patla AE (2004) Tuned vibration absorber for suppression of rest tremor in Parkinson’s disease. Med Biol Eng Comput 42(1):61–70.  https://doi.org/10.1007/bf02351012CrossRefPubMedGoogle Scholar
  11. 11.
    Herrnstadt G, Menon C (2016) Voluntary-driven elbow orthosis with speed-controlled tremor suppression. Front Bioeng Biotechnol 4:29–38.  https://doi.org/10.3389/fbioe.2016.00029CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Huen D, Liu J, Lo B (2016) An integrated wearable robot for tremor suppression with context aware sensing. In: 2016 I.E. 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2016 IEEE, pp 312–317Google Scholar
  13. 13.
    Kotovsky J, Rosen MJ (1998) A wearable tremor-suppression orthosis. J Rehabil Res Dev 35:373PubMedGoogle Scholar
  14. 14.
    Louis ED, Ottman R (2014) How many people in the USA have essential tremor? Deriving a population estimate based on epidemiological data. Tremor Other Hyperkinet Mov 4:259.  https://doi.org/10.7916/D8TT4P4BGoogle Scholar
  15. 15.
    Markiewicz BR (1973) Analysis of the computed-torqae drive method and comparision with the conventional position servo for a computer-controlled manipulator. Technical Memorandum 33–601, Jet Propulsion Laboratory, PasadenaGoogle Scholar
  16. 16.
    Memedi M, Sadikov A, Groznik V, Žabkar J, Možina M, Bergquist F, Johansson A, Haubenberger D, Nyholm D (2015) Automatic spiral analysis for objective assessment of motor symptoms in Parkinson’s disease. Sensors 15(9):23727–23744.  https://doi.org/10.3390/s150923727CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Mojica JW, Kumagai A, Marsh S (2013) Vibration suppression drafting arm for tremor patients. In: ASME 2013 International Mechanical Engineering Congress and Exposition, 2013. American Society of Mechanical Engineers, pp V015T016A008-V015T016A008Google Scholar
  18. 18.
    Niazmand K, Tonn K, Kalaras A, Fietzek UM, Mehrkens J-H, Lueth TC (2011) Quantitative evaluation of Parkinson’s disease using sensor based smart glove. In: Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on, 2011 IEEE, pp 1–8Google Scholar
  19. 19.
    Ohara E, Yano Ki, Horihata S, Aoki T, Nishimoto Y (2009) Tremor suppression control of meal-assist robot with adaptive filter. In: 2009 I.E. International Conference on Rehabilitation Robotics, 2009. IEEE, pp 498–503Google Scholar
  20. 20.
    Ou C, Gouldstone A, Jaeger BK, Sipahi R (2015) Control design for a hand tremor suppression pen. In: ASME 2015 Dynamic Systems and Control Conference, 2015. American Society of Mechanical Engineers, pp V002T036A006-V002T036A006Google Scholar
  21. 21.
    Pahwa R, Lyons KE (2007) Handbook of Parkinson’s disease. CRC Press, Boca RatonGoogle Scholar
  22. 22.
    Pathak A, Redmond JA, Allen M, Chou KL (2014) A noninvasive handheld assistive device to accommodate essential tremor: a pilot study. Mov Disord 29(6):838–842.  https://doi.org/10.1002/mds.25796CrossRefPubMedGoogle Scholar
  23. 23.
    Pierleoni P, Palma L, Belli A, Pernini L (2014) A real-time system to aid clinical classification and quantification of tremor in Parkinson’s disease. In: Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on, 2014 IEEE, pp 113–116Google Scholar
  24. 24.
    Popović Maneski L, Jorgovanović N, Ilić V, Došen S, Keller T, Popović MB, Popović DB (2011) Electrical stimulation for the suppression of pathological tremor. Med Biol Eng Comput 49(10):1187–1193.  https://doi.org/10.1007/s11517-011-0803-6CrossRefPubMedGoogle Scholar
  25. 25.
    Rahnavard M, Hashemi M, Farahmand F, Dizaji AF (2014) Designing a hand rest tremor dynamic vibration absorber using H2 optimization method. J Mech Sci Technol 28(5):1609–1614.  https://doi.org/10.1007/s12206-014-0104-8CrossRefGoogle Scholar
  26. 26.
    Rissanen SM, Kankaanpää M, Meigal A, Tarvainen MP, Nuutinen J, Tarkka IM, Airaksinen O, Karjalainen PA (2008) Surface EMG and acceleration signals in Parkinson’s disease: feature extraction and cluster analysis. Med Biol Eng Comput 46(9):849–858.  https://doi.org/10.1007/s11517-008-0369-0CrossRefPubMedGoogle Scholar
  27. 27.
    Rocon E, Belda-Lois JM, Ruiz AF, Manto M, Moreno JC, Pons JL (2007) Design and validation of a rehabilitation robotic exoskeleton for tremor assessment and suppression. IEEE Trans Neural Syst Rehabil Eng 15(3):367–378.  https://doi.org/10.1109/TNSRE.2007.903917CrossRefPubMedGoogle Scholar
  28. 28.
    Rocon E, Gallego J, Barrios L, Victoria A, Ibanez J, Farina D, Negro F, Dideriksen JL, Conforto S, D'Alessio T (2010) Multimodal BCI-mediated FES suppression of pathological tremor. In: 2010 annual international conference of the IEEE engineering in medicine and biology, 2010. IEEE, pp 3337–3340Google Scholar
  29. 29.
    Rosen MJ, Arnold AS, Baiges IJ, Aisen ML, Eglowstein SR (1995) Design of a controlled-energy-dissipation orthosis (CEDO) for functional suppression of intention tremors. J Rehabil Res Dev 32:1PubMedGoogle Scholar
  30. 30.
    Salarian A, Russmann H, Wider C, Burkhard PR, Vingerhoets FJ, Aminian K (2007) Quantification of tremor and bradykinesia in Parkinson’s disease using a novel ambulatory monitoring system. IEEE Trans Biomed Eng 54(2):313–322.  https://doi.org/10.1109/TBME.2006.886670CrossRefPubMedGoogle Scholar
  31. 31.
    Taheri B, Case D, Richer E (2014) Robust controller for tremor suppression at musculoskeletal level in human wrist. IEEE Trans Neural Syst Rehabil Eng 22(2):379–388.  https://doi.org/10.1109/TNSRE.2013.2295034CrossRefPubMedGoogle Scholar
  32. 32.
    Teixeira CJ, Bicho E, Rocha LA, Gago MF (2013) A self-tunable dynamic vibration absorber: Parkinson’s disease’s tremor suppression. In: Bioengineering (ENBENG), 2013 I.E. 3rd Portuguese Meeting in, 20–23 Feb. 2013 2013. pp 1–6.  https://doi.org/10.1109/ENBENG.2013.6518440
  33. 33.
    Wang H, Yu Q, Kurtis MM, Floyd AG, Smith WA, Pullman SL (2008) Spiral analysis—improved clinical utility with center detection. J Neurosci Methods 171(2):264–270.  https://doi.org/10.1016/j.jneumeth.2008.03.009CrossRefPubMedGoogle Scholar

Copyright information

© International Federation for Medical and Biological Engineering 2018

Authors and Affiliations

  • Mahdi Abbasi
    • 1
  • Aref Afsharfard
    • 1
  • Roya Arasteh
    • 2
  • Javad Safaie
    • 2
  1. 1.Mechanical Engineering Department, Faculty of EngineeringFerdowsi University of MashhadMashhadIran
  2. 2.Electrical Engineering Department, Faculty of EngineeringFerdowsi University of MashhadMashhadIran

Personalised recommendations