MaLT - Combined Motor and Language Therapy Tool for Brain Injury Patients Using Kinect.

BACKGROUND The functional connectivity and structural proximity of elements of the language and motor systems result in frequent co-morbidity post brain injury. Although rehabilitation services are becoming increasingly multidisciplinary and "integrated", treatment for language and motor functions often occurs in isolation. Thus, behavioural therapies which promote neural reorganisation do not reflect the high intersystem connectivity of the neurologically intact brain. As such, there is a pressing need for rehabilitation tools which better reflect and target the impaired cognitive networks. OBJECTIVES The objective of this research is to develop a combined high dosage therapy tool for language and motor rehabilitation. The rehabilitation therapy tool developed, MaLT (Motor and Language Therapy), comprises a suite of computer games targeting both language and motor therapy that use the Kinect sensor as an interaction device. The games developed are intended for use in the home environment over prolonged periods of time. In order to track patients' engagement with the games and their rehabilitation progress, the game records patient performance data for the therapist to interrogate. METHODS MaLT incorporates Kinect-based games, a database of objects and language parameters, and a reporting tool for therapists. Games have been developed that target four major language therapy tasks involving single word comprehension, initial phoneme identification, rhyme identification and a naming task. These tasks have 8 levels each increasing in difficulty. A database of 750 objects is used to programmatically generate appropriate questions for the game, providing both targeted therapy and unique gameplay every time. The design of the games has been informed by therapists and by discussions with a Public Patient Involvement (PPI) group. RESULTS Pilot MaLT trials have been conducted with three stroke survivors for the duration of 6 to 8 weeks. Patients' performance is monitored through MaLT's reporting facility presented as graphs plotted from patient game data. Performance indicators include reaction time, accuracy, number of incorrect responses and hand use. The resultant games have also been tested by the PPI with a positive response and further suggestions for future modifications made. CONCLUSION MaLT provides a tool that innovatively combines motor and language therapy for high dosage rehabilitation in the home. It has demonstrated that motion sensor technology can be successfully combined with a language therapy task to target both upper limb and linguistic impairment in patients following brain injury. The initial studies on stroke survivors have demonstrated that the combined therapy approach is viable and the outputs of this study will inform planned larger scale future trials.

[1]  J. Giacino,et al.  Evidence-based cognitive rehabilitation: updated review of the literature from 1998 through 2002. , 2005, Archives of physical medicine and rehabilitation.

[2]  J. Bogousslavsky,et al.  Large infarcts in the middle cerebral artery territory Etiology and outcome patterns , 1998, Neurology.

[3]  M. Cohen,et al.  Vocational outcome of aphasic patients following severe traumatic brain injury. , 1996, Brain injury.

[4]  Agnes Flöel,et al.  Motor Cortex Preactivation by Standing Facilitates Word Retrieval in Aphasia , 2011, Neurorehabilitation and neural repair.

[5]  L. Wilkins Large infarcts in the middle cerebral artery territory , 1998, Neurology.

[6]  S. Hillier,et al.  Outcomes 5 years post-traumatic brain injury (with further reference to neurophysical impairment and disability). , 1997, Brain injury.

[7]  H. V. D. Van der Loos,et al.  Video Games and Rehabilitation: Using Design Principles to Enhance Engagement in Physical Therapy , 2013, Journal of neurologic physical therapy : JNPT.

[8]  Albert A. Rizzo,et al.  Development and evaluation of low cost game-based balance rehabilitation tool using the microsoft kinect sensor , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Cathy J. Price,et al.  A comparison of VLSM and VBM in a cohort of patients with post-stroke aphasia☆ , 2012, NeuroImage: Clinical.

[10]  Darryl Charles,et al.  A Participatory Design Framework for the Gamification of Rehabilitation Systems , 2014 .

[11]  J. Marshall,et al.  Psychological distress after stroke and aphasia: the first six months , 2010, Clinical rehabilitation.

[12]  W. Best,et al.  Phonological and orthographic cueing therapy: A case of generalised improvement , 2010 .

[13]  F. Gutzwiller,et al.  Epidemiology of Aphasia Attributable to First Ischemic Stroke: Incidence, Severity, Fluency, Etiology, and Thrombolysis , 2006, Stroke.

[14]  H. Mononen,et al.  Aphasia, Depression, and Non-Verbal Cognitive Impairment in Ischaemic Stroke , 2000, Cerebrovascular Diseases.

[15]  Linda Davies,et al.  Effectiveness of enhanced communication therapy in the first four months after stroke for aphasia and dysarthria: a randomised controlled trial , 2012, BMJ : British Medical Journal.

[16]  P. Clark,et al.  Factors Influencing Stroke Survivors' Quality of Life During Subacute Recovery , 2005, Stroke.

[17]  R. Teasell,et al.  Intensity of Aphasia Therapy, Impact on Recovery , 2003, Stroke.

[18]  Holly K. Craig,et al.  Influence of rate of treatment on the naming abilities of adults with chronic aphasia , 1998 .

[19]  R. Töpper,et al.  Functional connectivity between cortical hand motor and language areas during recovery from aphasia , 2006, Journal of the Neurological Sciences.

[20]  José-Antonio Gil-Gómez,et al.  Balance rehabilitation using custom-made Wii Balance Board exercises: clinical effectiveness and maintenance of gains in an acquired brain injury population , 2014 .

[21]  Andy Smith,et al.  Prescription software for recovery and rehabilitation using Microsoft Kinect , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[22]  César A. Collazos,et al.  Design and analysis of collaborative interactions in social educational videogames , 2014, Comput. Hum. Behav..

[23]  Jurgen Broeren,et al.  Exploration of computer games in rehabilitation for brain damage , 2008 .

[24]  K H Mauritz,et al.  Arm ability training for stroke and traumatic brain injury patients with mild arm paresis: a single-blind, randomized, controlled trial. , 2001, Archives of physical medicine and rehabilitation.

[25]  Stefano Tamburin,et al.  Association between Severe Upper Limb Spasticity and Brain Lesion Location in Stroke Patients , 2014, BioMed research international.

[26]  Vânia Guimarães,et al.  Gamification of stroke rehabilitation exercises using a smartphone , 2014, PervasiveHealth.

[27]  Ruth Dundas,et al.  Estimates of the Prevalence of Acute Stroke Impairments and Disability in a Multiethnic Population , 2001, Stroke.

[28]  Yao-Jen Chang,et al.  A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. , 2011, Research in developmental disabilities.

[29]  R. Töpper,et al.  Motor cortex hand area and speech: implications for the development of language , 2003, Neuropsychologia.