Feasibility of a wearable soft-robotic glove to support impaired hand function in stroke patients.

OBJECTIVE To investigate the feasibility of a wear-able, soft-robotic glove system developed to combine assistive support in daily life with performing therapeutic exercises on a computer at home (the HandinMind system). DESIGN Feasibility study. PATIENTS Five chronic stroke patients with limitations in activities of daily living due to impaired hand function. METHODS Participants performed a usability test and several functional tasks with the HandinMind system across 2 sessions. Feasibility was measured using the System Usability Scale (SUS), Intrinsic Motivation Inventory (IMI) and performance times of the functional tasks. RESULTS User acceptance measured by the SUS and IMI was scored high. The median SUS scores of sessions 1 and 2 were 80.0 (interquartile range (IQR) 70.0-88.8) and 77.5 (IQR 75.0-87.5), respectively, and the median IMI score was 6.3 points out of 7 points (IQR 6.2-6.3). Functional task performance was initially slower with the HandinMind glove compared with performance without the glove, but improved up to the level of performance without the glove across no more than 3 repetitions. CONCLUSION Chronic stroke patients with impaired hand function were positive about the feasibility of the first prototype of the HandinMind system. How-ever, performance and ease of use of the system should be improved further in future development phases.

[1]  J. Hidler,et al.  Understanding Motor Impairment in the Paretic Lower Limb After a Stroke: A Review of the Literature , 2009, Topics in stroke rehabilitation.

[2]  Chris A. Ihrke,et al.  RoboGlove - A Robonaut Derived Multipurpose Assistive Device , 2014 .

[3]  Arno H. A. Stienen,et al.  Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke , 2015, Journal of NeuroEngineering and Rehabilitation.

[4]  A. Batavia,et al.  Toward the development of consumer-based criteria for the evaluation of assistive devices. , 1990, Journal of rehabilitation research and development.

[5]  L. Ni.  Development and Testing of Sample Therapeutic Programs on the Microsoft Kinect for Children with Cerebral Palsy , 2013 .

[6]  E. Burdet,et al.  Robot-assisted rehabilitation of hand function. , 2010, Current opinion in neurology.

[7]  Gert Kwakkel,et al.  Intensity of practice after stroke: More is better , 2009 .

[8]  M. Nilsson,et al.  The Soft Extra Muscle system for improving the grasping capability in neurological rehabilitation , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.

[9]  A. Timmermans,et al.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design , 2009, Journal of NeuroEngineering and Rehabilitation.

[10]  Maarten J. IJzerman,et al.  Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. , 2006, Journal of rehabilitation research and development.

[11]  G. Kwakkel.  Impact of intensity of practice after stroke: issues for consideration. , 2012, Disability and rehabilitation.

[12]  Janne M. Veerbeek,et al.  Effects of Robot-Assisted Therapy for the Upper Limb After Stroke , 2017, Neurorehabilitation and neural repair.

[13]  Kevin C. Galloway,et al.  EMG controlled soft robotic glove for assistance during activities of daily living , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[14]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[15]  Mateu Sbert,et al.  Serious games for health , 2013, Entertain. Comput..

[16]  S. Leonhardt,et al.  A survey on robotic devices for upper limb rehabilitation , 2014, Journal of NeuroEngineering and Rehabilitation.

[17]  Edward McAuley,et al.  The Effects of Subjective and Objective Competitive Outcomes on Intrinsic Motivation , 1989 .

[18]  S.J. Ball,et al.  A planar 3DOF robotic exoskeleton for rehabilitation and assessment , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Gb Prange,et al.  User requirements for assistance of the supporting hand in bimanual daily activities via a robotic glove for severely affected stroke patients , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[20]  H. Krebs,et al.  Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review , 2008, Neurorehabilitation and neural repair.

[21]  J. Schaechter.  Motor rehabilitation and brain plasticity after hemiparetic stroke , 2004, Progress in Neurobiology.

[22]  Johan S Rietman,et al.  Effects of training with a passive hand orthosis and games at home in chronic stroke: a pilot randomised controlled trial , 2017, Clinical rehabilitation.

[23]  Jane Burridge,et al.  Assistive technologies after stroke: self-management or fending for yourself? A focus group study , 2013, BMC Health Services Research.

[24]  Terry E. Duncan,et al.  Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. , 1989, Research quarterly for exercise and sport.

[25]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[26]  Annick A.A. Timmermans,et al.  T-TOAT: A method of task-oriented arm training for stroke patients suitable for implementation of exercises in rehabilitation technology , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[27]  Monique W. M. Jaspers,et al.  The think aloud method: a guide to user interface design , 2004, Int. J. Medical Informatics.

[28]  Bernhard Elsner,et al.  Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. , 2018, The Cochrane database of systematic reviews.

[29]  A. Eagger.  Rehabilitation , 1960 .

[30]  J. H. Buurke,et al.  User-centred input for a wearable soft-robotic glove supporting hand function in daily life , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[31]  Nathaniel J Soper,et al.  The effect of robotic assistance on learning curves for basic laparoscopic skills. , 2002, American journal of surgery.

[32]  A. Fugl-Meyer,et al.  The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. , 1975, Scandinavian journal of rehabilitation medicine.

[33]  Lara A. Boyd,et al.  Is More Better? Using Metadata to Explore Dose–Response Relationships in Stroke Rehabilitation , 2014, Stroke.

[34]  D Markland,et al.  On the factorial and construct validity of the Intrinsic Motivation Inventory: conceptual and operational concerns. , 1997, Research quarterly for exercise and sport.

[35]  Jaap H Buurke,et al.  A wearable soft-robotic glove enables hand support in ADL and rehabilitation: A feasibility study on the assistive functionality , 2016, Journal of rehabilitation and assistive technologies engineering.

[36]  Darryl Charles,et al.  Optimising engagement for stroke rehabilitation using serious games , 2009, The Visual Computer.

[37]  V. Feigin,et al.  Global Burden of Stroke. , 2017, Circulation research.

[38]  E. Carmeli,et al.  The aging hand. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.