リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「Virtual reality-based action observation facilitates the acquisition of body-powered prosthetic control skills」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

Virtual reality-based action observation facilitates the acquisition of body-powered prosthetic control skills

吉村 学 広島大学

2021.03.23

概要

Background: Regular body-powered (BP) prosthesis training facilitates the acquisition of skills through repeated
practice but requires adequate time and motivation. Therefore, auxiliary tools such as indirect training may improve the
training experience and speed of skill acquisition. In this study, we examined the effects of action observation (AO)
using virtual reality (VR) as an auxiliary tool. We used two modalities during AO: three-dimensional (3D) VR and twodimensional (2D) computer tablet devices (Tablet). Each modality was tested from first- and third-person perspectives.
Methods: We studied 40 healthy right-handed participants wearing a BP prosthesis simulator on their non-dominant
hands. The participants were divided into five groups based on combinations of the different modalities and
perspectives: first-person perspective on VR (VR1), third-person perspective on VR (VR3), first-person perspective on a
tablet (Tablet1), third-person perspective on a tablet (Tablet3), and a control group (Control). The intervention groups
observed and imitated the video image of prosthesis operation for 10 min in each of two sessions. We evaluated the
level of immersion during AO using the visual analogue scale. Prosthetic control skills were evaluated using the Box
and Block Test (BBT) and a bowknot task (BKT).
Results: In the BBT, there were no significant differences in the amount of change in the skills between the five
groups. In contrast, the relative changes in the BKT prosthetic control skills in VR1 (p < 0.001, d = 3.09) and VR3 (p <
0.001, d = 2.16) were significantly higher than those in the control group. Additionally, the immersion scores of VR1
(p < 0.05, d = 1.45) and VR3 (p < 0.05, d = 1.18) were higher than those of Tablet3. There was a significant negative
correlation between the immersion scores and the relative change in the BKT scores (Spearman’s rs = − 0.47, p < 0.01).
Conclusions: Using the BKT of bilateral manual dexterity, VR-based AO significantly improved short-term prosthetic
control acquisition. Additionally, it appeared that the higher the immersion score was, the shorter the execution time
of the BKT task. Our findings suggest that VR-based AO training may be effective in acquiring bilateral BP prosthetic
control, which requires more 3D-based operation. ...

この論文で使われている画像

参考文献

1. Biddiss E, Beaton D, Chau T. Consumer design priorities for upper limb

prosthetics. Disabil Rehabil Assist Technol. 2007;2(6):346–57.

2. Datta D, Selvarajah K, Davey N. Functional outcome of patients with

proximal upper limb deficiency--acquired and congenital. Clin Rehabil. 2004;

18(2):172–7.

3. Biddiss EA, Chau TT. Upper limb prosthesis use and abandonment: a survey

of the last 25 years. Prosthetics Orthot Int. 2007;31(3):236–57.

4. Kejlaa GH. Consumer concerns and the functional value of prostheses to

upper limb amputees. Prosthetics Orthot Int. 1993;17(3):157–63.

5. Huinink LHB, Bouwsema H, Plettenburg DH, van der Sluis CK, Bongers RM.

Learning to use a body-powered prosthesis: changes in functionality and

kinematics. J Neuroeng Rehabil. 2016;13:90.

6. Bouwsema H, Van der Sluis CK, Bongers RM. Changes in performance over

time while learning to use a myoelectric prosthesis. J Neuroeng Rehabil.

2014;11:16.

7. Cattaneo L, Rizzolatti G. The mirror neuron system. Arch Neurol. 2009;66:

557–60.

27.

28.

29.

30.

31.

Page 11 of 12

Ertelt D, Small S, Solodkin A, Dettmers C, Buccino G. Action observation has

a positive impact on rehabilitation of motor deficits after stroke.

Neuroimage. 2007;36(Suppl 2):164–73.

Buccino G, Arisi D, Gough P, Aprile D, Fazzi E. Improving upper limb motor

functions through action observation treatment: a pilot study in children

with cerebral palsy. Dev Med Child Neurol. 2012;54(9):822–8.

Pelosin E, Avanzino A, Bove M, Stramesi P, Nieuwboer A, Abbruzzese G.

Action observation improves freezing of gait in patients with Parkinson's

disease. Neurorehabil Neural Repair. 2010;24(8):746–52.

Bellelli G, Buccino G, Bernardini B, Padovani A, Trabucchi M. Action

observation treatment improves recovery of postsurgical orthopedic

patients: evidence for a top-down effect? Arch Phys MedRehabil. 2010;

91(10):1489–94.

Cusack WF, Cope M, Nathanson S, Pirouz N, Wheaton LA. Neural Activation

Differences in Amputees During Imitation of Intact Versus Amputee

Movements. Front Hum Neurosci. 2012;29;6:182.

Weiss PL, Jessel AS. Virtual reality applications to work. Work. 1998;11(3):

277–93.

Turolla A, Dam M, Ventura L, Tonin P, Agostini M, Zucconi C, Kiper P, Prion

L. Virtual reality for the rehabilitation of the upper limb motor function after

stroke: a prospective controlled trial. J Neuroeng Rehabil. 2013;10:85.

Kiper P, Szczudlik A, Agostini M, Opara J, Nowobilski R, Ventura L, Tonin P,

Turolla A. Virtual reality for upper limb rehabilitation in subacute and

chronic stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2018;

99(5):834–42.

Cikajlo I, Potisk KP. Advantages of using 3D virtual reality based training in

persons with Parkinson's disease: a parallel study. J Neuroeng Rehabil. 2019;

16:119.

Perez-Marcos D, Bieler-Aeschlimann M, Serino A. Virtual reality as a

vehicle to empower motor-cognitive Neurorehabilitation. Front Psychol.

2018;2(9):2120.

Oldfield RC. The assessment and analysis of handedness: the Edinburgh

inventory. Neuropsychologia. 1971;9(1):97–113.

Mathiowetz V, Volland G, Kashman N, Weber K. Adult norms for the box

and block test of manual dexterity. Am J Occup Ther. 1985;39(6):386–91.

Desrosiers J, Bravo G, Hebert R, Dutil E, Mercier L. Validation of the box and

block test as a measure of dexterity of elderly people: reliability, validity, and

norms studies. Arch Phys Med Rehabil. 1994;75(7):751–5.

Crosbie J, Lennon S, Mcneill M, Mcdonough S. Virtual reality in the

rehabilitation of the upper limb after stroke: the user's perspective.

CyberPsychol Behav. 2006;9(2):137–41.

Lohse KR, Boyd LA, Hodges NJ. Engaging environments enhance motor skill

learning in a computer gaming task. J Mot Behav. 2016;48(2):172–82.

Rohrbach N, Chicklis E, Levac DE. What is the impact of user affect on

motor learning in virtual environments after stroke? A scoping review J

Neuroeng Rehabil. 2019;16:79.

Lewis GN, Woods C, Rosie JA, McPherson KM. Virtual reality games for

rehabilitation of people with stroke: perspectives from the users. Disabil

Rehabil Assist Technol. 2011;6(5):453–63.

Levin MF, Weiss PL, Keshner EA. Emergence of virtual reality as a tool for

upper limb rehabilitation: incorporation of motor control and motor

learning principles. Phys Ther. 2015;95(3):415–25.

Jackson PL, Meltzoff AN, Decety J. Neural circuits involved in imitation and

perspective-taking. Neuroimage. 2006:15;31(1):429–39.

Hotz-Boendermaker S, Funk M, Summers P, Brugger P, Kollias SS.

Preservation of motor programs in paraplegics as demonstrated by

attempted and imagined foot movements. Neuroimage. 2008:1;39(1):

383–94.

Villiger M, Estévez N, Hepp-Reymond MC, Kiper D, Hotz-Boendermaker

S. Enhanced activation of motor execution networks using action

observation combined with imagination of lower limb movements.

PLoS One. 2013;28:8(8).

Kyberd PJ. The influence of control format and hand design in single axis

myoelectric hands: assessment of functionality of prosthetic hands using

the Southampton hand assessment procedure. Prosthetics Orthot Int. 2011;

35(3):285–93.

Resnik L, Borgia M. Reliability and validity of outcome measures for upper

limb amputation. J Prosthet Orthot. 2012;24(4):192–201.

Haverkate L, Smit G, Plettenburg DH. Assessment of body-powered upper

limb prostheses by able-bodied subjects, using the box and blocks test and

the nine-hole peg test. Prosthetics Orthot Int. 2016;40(1):109–16.

Yoshimura et al. Journal of NeuroEngineering and Rehabilitation

(2020) 17:113

32. Bloomer C, Wang S, Kontson K. Creating a standardized, quantitative

training protocol for upper limb bypasss prostheses. Phys Med Rehabil Res.

2018;3(6):1–8.

33. Gokeler A, Bisschop M, Myer GD, Benjaminse A, Otten E. Immersive virtual

reality improves movement patterns in patients after ACL reconstruction:

implications for enhanced criteria-based return-to-sport rehabilitation. Knee

Surg Sports Traumatol Arthrosc. 2016;24(7):2280–6.

34. Cummings JJ, Bailenson JN. How immersive is enough? A meta-analysis of

the effect of immersive technology on user presence. Media Psychol. 2016;

19(2):271–309.

35. Shu Y, Huang YZ, Chang SH, Chen MY. Do virtual reality head-mounted

displays make a difference? A comparison of presence and self-efficacy

between head-mounted displays and desktop computer-facilitated virtual

environments. Virtual Reality. 2019;23:437–46.

36. Chadwell A, Kenney L, Granat MH, Thies S. Upper limb activity in

myoelectric prosthesis users is biased towards the intact limb and appears

unrelated to goal-directed task performance. Sci Rep. 2018;8(1):11084.

37. Cusack WF, Patterson R, Thach S, Kistenberg RS, Wheaton LA. Motor

performance benefits of matched limb imitation in prosthesis users. Exp

Brain Res. 2014;232(7):2143–54.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in

published maps and institutional affiliations.

Page 12 of 12

...

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文

一発検索!

この論文の関連論文を見る