Sage Journals: Discover world-class research

Abstract

Improvement in hand function is one of the major goals of stroke rehabilitation. This paper introduces a newly developed hand rehabilitation device with a user-centered design concept, which integrates fuzzy based quality function deployment (Fuzzy-QFD), morphological analysis method and fuzzy based analytic hierarchy process (Fuzzy-AHP). The design focuses on extension of some certain technical attributes of products to obtain a higher level of user satisfaction. Results of functional test showed that the hand affected due to a stroke could complete the training task successfully by controlling electromyography signals from an unaffected hand. Moreover, for poststroke patients the passive training by voice control is also a suitable alternative. Depending on the actual situation of patients the voice commands could be given by themselves or by therapists. The operation and test results of function showed that the product meet patients’ requirements and has practical significance. The proposed user-centered method also can be applied to the development of similar products.

Keywords

Exoskeleton hand rehabilitation fuzzy-QFD fuzzy-AHP morphological analysis

Get full access to this article

View all access options for this article.

References

GBD 2013 Mortality and Causes of Death Collaborators, Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013, Lancet 385 (2015), 117–171.

T.A.

Thrasher ,

Zivanovic ,

McIlroy and

M.R.

Popovic , Rehabilitation of reaching and grasping function in severe hemiplegic patients using functional electrical stimulation therapy, Neurorehabil Neural Repair 22 (2008), 706–715.

Dobkin , Rehabilitation after stroke, The New England Journal of Medicine 352 (2005), 1677–1684.

Gao ,

Liu ,

Li and

Gu , A dynamic observation on the effects of rehabilitation therapy on poststroke hemi-plegic patients, Chinese Journal of Rehabilitation Medicine 20 (2005), 44–46.

Bonzano ,

Tacchino ,

Brichetto ,

Roccatagliata ,

Dessypris ,

Feraco ,

M.L.L.

De Carvalho ,

M.A.

Battaglia ,

G.L.

Mancardi and

Bove , Upper limb motor rehabilitation impacts white matter microstructure in multiple sclerosis, Neurolmage 90 (2014), 107–116.

Kranczioch ,

Zich ,

Schierholz and

Sterr , Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation, International Journal of Psychophysiology 91 (2014), 10–15.

Chai ,

Shi ,

Wang and

Zhang , Development of exoskeleton robot study, Chinese Medical Equipment Journal 34 (2013), 81–84.

Ottobock. WaveFlex Hand CPM Device. Accessed: Jun. 25, 2015. [Online]. Available: http://professionals.ottobockus.com/cps/rde/xbcr/ob_us_en/12122525_6_WaveFlex_CPM_PATIENTJFU.pdf, 2015.

Idrogenet. GLOREHA supports upper limb rehabilitation. Accessed: Jun. 24, 2015. [Online]. Available: http://www.gloreha.com/index.php/en/, 2015.

10.

Festo

& Co.

. New scope for interaction between humans and machines. Accessed: Jun. 24, 2015. [Online]. Available: http://www.festo.com/net/SupportPortal/Files/156734/Brosch_FC_ExoHand_ENJo_L.pdf, 2015.

11.

N.S.K.

Ho ,

K.Y.

Tong ,

X.L.

Hu ,

K.L.

Fung ,

X.J.

Wei ,

Rong and

E.A.

Susanto , An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects, inProc IEEE Int Conf Rehabilitation Robotics, 2011, pp. 1–5.

12.

C.N.

Schabowsky ,

S.B.

Godfrey ,

R.J.

Holley and

P.S.

Lum , Development and pilot testing of HEXORR: Hand EXOskeleton Rehabilitation Robot, Journal of Neuro Engi-neering and Rehabilitation 7 (2010), 36–52.

13.

Chiri ,

Vitiello ,

Giovacchini ,

Roccella ,

Vecchi and

M.C.

Carrozza , Mechatronic design and characterization of the index finger module of a hand exoskeleton for post-stroke rehabilitation, IEEE/ASME Transactions on Mechatronics 17 (2012), 884–894.

14.

Fu ,

Wang ,

Liu and

Zhang , Design and Development of a Portable Exoskeleton Based CPM Machine for Rehabilitation of Hand Injuries, inProc IEEE Int Conf Robotics and Biomimetics (ROBIO), 2007, pp. 1476–1481.

15.

E. B.

Brokaw ,

Black ,

R.J.

Holley and

P.S.

Lum , Hand spring operated movement enhancer (HandSOME): A portable, passive hand exoskeleton for stroke rehabilitation, IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (2011), 391–399.

16.

Wege and

Zimmermann , Electromyography Sensor Based Control for a Hand Exoskeleton, in Proc IEEE Int Conf Robotics and Biomimetics, 2007, pp. 1470–1475.

17.

Iqbal ,

Khan ,

N.G.

Tsagarakis and

D.G.

Caldwell , A novel exoskeleton robotic system for hand rehabilitation — Conceptualization to prototyping, Biocybernetics and Biomedical Engineering 34 (2014), 79–89.

18.

Arata ,

Ohmoto ,

Gassert ,

Lambercy ,

Fujimoto and

Wada , A new hand exoskeleton device for rehabilitation using a three-layered sliding spring mechanism, inProc IEEE Int Conf. Robotics and Automation (ICRA), 2013, pp. 3092–3097.

19.

Cempini ,

Cortese and

Vitiello , A powered finger-thumb wearable hand exoskeleton with self-aligning joint axes, IEEE-ASME Transactions on Mechatronics 20 (2015), 705–716.

20.

Loconsole ,

Leonardis ,

Barsotti ,

Solazzi ,

Frisoli ,

Bergamasco ,

Troncossi ,

M. M.

Foumashi ,

Mazzotti and

V.P.

Castelli , An EMG-based robotic hand exoskeleton for bilateral training of grasp, inProc IEEE World Haptics Conf, 2013, pp. 537–542.

21.

Polygerinos ,

Wang ,

K.C.

Galloway ,

R.J.

Wood and

C.J.

Walsh , Soft robotic glove for combined assistance and at-home rehabilitation, Robotics and Autonomous Systems 73 (2015), 135–143.

22.

A.H.I.

Lee and

C.Y.

Lin , An integrated fuzzy QFD framework for new product development, Flexible Services and Manufacturing Journal 23 (2011), 26–47.

23.

Q.-L.

Lin ,

Liu ,

H.-C.

Liu and

D.-J.

Wang , Integrating hierarchical balanced scorecard with fuzzy linguistic for evaluating operating room performance in hospitals, Expert Systems with Applications 40 (2013), 1917–1924.

24.

R.Y.K.

Fung ,

Ren and

Xie , The prioritisation of attributes in customer requirement management, inProc IEEE Int Conf Systems, Man, and Cybernetics, 1996, pp. 953–958.

25.

W.M.

Dong and

F.S.

Wong , Fuzzy weighted averages and implementation of the extension principle, Fuzzy Sets and Systems 21 (1987), 183–199.

26.

Kao and

S.-T.

Liu , Fractional programming approach to fuzzy weighted average, Fuzzy Sets and Systems 120 (2001), 435–444.

27.

H.-J.

Zimmermann , Fuzzy Set Theory — and Its Applications. 4th ed., Boston, Dordrecht, London: Kluwer Academic Publishers, 2001.

28.

Charnes and

W. W.

Cooper , Programming with linear fractional functionals, Naval Research Logistics Quarterly 9 (1962), 181–186.

29.

Oussalah , On the compatibility between defuzzification and fuzzy arithmetic operations, Fuzzy Sets and Systems 128 (2002), 247–260.

30.

Ritchey , Problem structuring using computer-aided morphological analysis, Journal of the Operational Research Society, Special Issue on Problem Structuring Methods 57 (2006), 792–801.

31.

Pousttchi ,

Selk and

Turowski , Acceptance criterias for mobile payment procedures, MPRA Paper 3785 (2002), 51–67.

32.

Dowlatshahi , A morphological approach to product design in a concurrent engineering environment, International Journal of Advanced Manufacturing Technology 9 (1994), 324–332.

33.

H.-L.

Liu ,

Friesdorf and

Wang , Combining human information processing methods for product development, in Proc Int Conf Contemporary Ergonomics and Human Factors, 2013, pp. 109–117.

34.

T.L.

Saaty , The Analytic Hierarchy Process. New York: McGraw-Hill International Book Company, 1980.

35.

T.L.

Saaty , Rank generation, preservation, and reversal in the analytic hierarchy decision process, Decision Sciences 18 (1987), 157–177.

36.

J.J.

Buckley , Fuzzy hierarchical analysis, Fuzzy Sets and Systems 17 (1985), 233–247.

37.

Wang ,

Wu and

Lin , A novel method for designing and optimizing the layout of facilities in bathroom for the elderly in home-based rehabilitation, Disability and Rehabilitation: Assistive Technology 13 (2017), 333–341.

38.

Kaufmann and

M.M.

Gupta , Introduction to fuzzy arithmetic: Theory and applications. New York: Van Nostrand Reinhold, 1985.

39.

A.R.

Lee , Application of modified fuzzy AHP method to analyze bolting sequence of structural joints, UMI Dissertation Services, A Bell & Howell Company (1999).

40.

S.-J.

Chen and

C.-L.

Hwang , Fuzzy Multiple Attribute Decision Making: Methods and Applications. Berlin, Heidelberg, New York: Springer-Verlag, 1992, p. 325.

Integrating fuzzy based QFD and AHP for the design and implementation of a hand training device

Abstract

Keywords

Get full access to this article

References