Literature DB >> 34892649

Proprioceptive Gaming: Making Finger Sensation Training Intense and Engaging with the P-Pong Game and PINKIE Robot.

Dylan S Reinsdorf, Erin E Mahan, David J Reinkensmeyer.   

Abstract

Proprioceptive deficits are common after a stroke and are thought to negatively impact motor learning. Despite this, there is a lack of practical robotic devices for assessing proprioception, as well as few robotic rehabilitation techniques that intensely and engagingly target proprioception. This work first presents the design of a simple robotic device, PINKIE, developed to assess and train finger proprioception. PINKIE uses low-cost actuators and sensors and is fabricated completely from 3D printed, laser cut, and off-the-shelf components. We then describe the design and testing of a gamified proprioceptive training technique, Proprioceptive-Pong (P-Pong), implemented with PINKIE. In P-Pong, players must continuously make game decisions based on sensed index and middle finger positions, as the game robotically moves their fingers instead of screen pixels to express the motion of the ball and paddle. We also report the results of a pilot study in which we investigated the effect of a short bout of P-Pong play on proprioceptive acuity, and quantified user engagement and intrinsic motivation of game play. We randomly assigned 15 unimpaired human participants to play 15 minutes of P-Pong (proprioceptive training group) or a similar but video-only version of Pong (control group). We assessed finger proprioception acuity before and after game play using the Crisscross assessment previously developed by our laboratory, engagement using the User Engagement Scale, and motivation using the Intrinsic Motivation Inventory survey. Following game play, there was a significant improvement in proprioceptive acuity (2.2 ± 2.6 SD mm, p = 0.023) in the proprioceptive training group but not the control group (0.5 ± 0.9 SD mm, p = 0.101). Participants rated P-Pong highly on all survey subscales, and as highly as visual Pong, except in the Perceived Usability and Competence subscales, a finding we discuss. To our knowledge, this work presents the first computer gaming approach for providing intense and engaging finger proprioception training, by splitting the feedback of game elements between the visual and proprioceptive senses. The pilot experiment indicates that the human sensory motor system has the ability to at least temporarily improve proprioception acuity with such game-based training.

Entities:  

Mesh:

Year:  2021        PMID: 34892649      PMCID: PMC9153391          DOI: 10.1109/EMBC46164.2021.9631041

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  22 in total

Review 1.  A critical review of the concept of patient motivation in the literature on physical rehabilitation.

Authors:  N Maclean; P Pound
Journal:  Soc Sci Med       Date:  2000-02       Impact factor: 4.634

2.  Effects of intensity of rehabilitation after stroke. A research synthesis.

Authors:  G Kwakkel; R C Wagenaar; T W Koelman; G J Lankhorst; J C Koetsier
Journal:  Stroke       Date:  1997-08       Impact factor: 7.914

3.  A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.

Authors:  Naveen Elangovan; I-Ling Yeh; Jessica Holst-Wolf; Jurgen Konczak
Journal:  IEEE Int Conf Rehabil Robot       Date:  2019-06

4.  Association between impairments, self-care ability and social activities 1 year after stroke.

Authors:  U Sveen; E Bautz-Holter; K M Sødring; T B Wyller; K Laake
Journal:  Disabil Rehabil       Date:  1999-08       Impact factor: 3.033

5.  Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program.

Authors:  Daniel K Zondervan; Nizan Friedman; Enoch Chang; Xing Zhao; Renee Augsburger; David J Reinkensmeyer; Steven C Cramer
Journal:  J Rehabil Res Dev       Date:  2016

6.  Testing a model of post-stroke exercise behavior.

Authors:  Marianne Shaughnessy; Barbara M Resnick; Richard F Macko
Journal:  Rehabil Nurs       Date:  2006 Jan-Feb       Impact factor: 1.625

7.  Estimates of the prevalence of acute stroke impairments and disability in a multiethnic population.

Authors:  E S Lawrence; C Coshall; R Dundas; J Stewart; A G Rudd; R Howard; C D Wolfe
Journal:  Stroke       Date:  2001-06       Impact factor: 7.914

8.  Counting repetitions: an observational study of outpatient therapy for people with hemiparesis post-stroke.

Authors:  Catherine E Lang; Jillian R MacDonald; Christopher Gnip
Journal:  J Neurol Phys Ther       Date:  2007-03       Impact factor: 3.649

9.  Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

Authors:  Salim S Virani; Alvaro Alonso; Hugo J Aparicio; Emelia J Benjamin; Marcio S Bittencourt; Clifton W Callaway; April P Carson; Alanna M Chamberlain; Susan Cheng; Francesca N Delling; Mitchell S V Elkind; Kelly R Evenson; Jane F Ferguson; Deepak K Gupta; Sadiya S Khan; Brett M Kissela; Kristen L Knutson; Chong D Lee; Tené T Lewis; Junxiu Liu; Matthew Shane Loop; Pamela L Lutsey; Jun Ma; Jason Mackey; Seth S Martin; David B Matchar; Michael E Mussolino; Sankar D Navaneethan; Amanda Marma Perak; Gregory A Roth; Zainab Samad; Gary M Satou; Emily B Schroeder; Svati H Shah; Christina M Shay; Andrew Stokes; Lisa B VanWagner; Nae-Yuh Wang; Connie W Tsao
Journal:  Circulation       Date:  2021-01-27       Impact factor: 29.690

10.  Use of a robotic device to measure age-related decline in finger proprioception.

Authors:  Morgan L Ingemanson; Justin B Rowe; Vicky Chan; Eric T Wolbrecht; Steven C Cramer; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2015-09-16       Impact factor: 2.064

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.