Computer-based cognitive rehabilitation: the CoRe system

Abstract Purpose: This work aims at providing a tool for supporting cognitive rehabilitation. This is a wide field, that includes a variety of diseases and related clinical pictures; for this reason the need arises to have a tool available that overcomes the difficulties entailed by what currently is the most common approach, that is, the so-called pen and paper rehabilitation. Methods: We first organized a big number of stimuli in an ontology that represents concepts, attributes and a set of relationships among concepts. Stimuli may be words, sounds, 2D and 3D images. Then, we developed an engine that automatically generates exercises by exploiting that ontology. The design of exercises has been carried on in synergy with neuropsychologists and speech therapists. Solutions have been devised aimed at personalizing the exercises according to both patients’ preferences and performance. Results: Exercises addressed to rehabilitation of executive functions and aphasia-related diseases have been implemented. The system has been tested on both healthy volunteers (n = 38) and patients (n = 9), obtaining a favourable rating and suggestions for improvements. Conclusions: We created a tool able to automate the execution of cognitive rehabilitation tasks. We hope the variety and personalization of exercises will allow to increase compliance, particularly from elderly people, usually neither familiar with technology nor particularly willing to rely on it. The next step involves the creation of a telerehabilitation tool, to allow therapy sessions to be undergone from home, thus guaranteeing continuity of care and advantages in terms of time and costs for the patients and the National Healthcare System (NHS). Implications for rehabilitation Cognitive impairments can greatly impact an individual's existence, appreciably reducing his abilities and autonomy, as well as sensibly lowering his quality of life. Cognitive rehabilitation can be used to restore lost brain function or slow down degenerative diseases. Computerization of rehabilitation entails many advantages, but patients – especially elderly people – might be less prone to the use of technology and consequently reluctant towards this innovative therapeutic approach. Our software system, CoRe, supports a therapist during the administration of rehabilitation sessions: exercises can be generated dynamically, thus reducing repetitivity, and patients' performance trends automatically analysed to facilitate the assessment of their progress. Tests performed on both healthy subjects and patients provided useful information that allowed us to define an implementation strategy able to reduce patients' resistance to computerized rehabilitation as much as possible.

[1]  修希 渡邉 第1回 Evidence-based Cognitive Rehabilitation:Updated Review of the Literature from 2003 Through 2008 , 2018 .

[2]  Silvana Quaglini,et al.  Enhancing computerized cognitive rehabilitation with 3D solutions , 2014, PervasiveHealth.

[3]  Silvana Quaglini,et al.  Applying 3D Graphics to Computerized Cognitive Rehabilitation , 2014, REHAB.

[4]  Francisco Javier Díaz Pernas,et al.  A Kinect-based system for cognitive rehabilitation exercises monitoring , 2014, Comput. Methods Programs Biomed..

[5]  M. Bringas,et al.  Clinical impact of RehaCom software for cognitive rehabilitation of patients with acquired brain injury. , 2012, MEDICC review.

[6]  Jeanine M. Parisi,et al.  Computerized Cognitive Training with Older Adults: A Systematic Review , 2012, PloS one.

[7]  Priscilla F. de Abreu,et al.  Employing Multi-agents in 3-D Game for Cognitive Stimulation , 2011, 2011 XIII Symposium on Virtual Reality.

[8]  Joanne Azulay,et al.  Evidence-based cognitive rehabilitation: updated review of the literature from 2003 through 2008. , 2011, Archives of physical medicine and rehabilitation.

[9]  Pedro Miguel Moreira,et al.  Serious games for rehabilitation: A survey and a classification towards a taxonomy , 2010, 5th Iberian Conference on Information Systems and Technologies.

[10]  Sergi Grau,et al.  Design of 3D Virtual Neuropsychological Rehabilitation Activities , 2010, 2010 Second International Conference on Games and Virtual Worlds for Serious Applications.

[11]  Sergi Grau,et al.  PREVIRNEC: A cognitive telerehabilitation system based on Virtual Environments , 2009, 2009 Virtual Rehabilitation International Conference.

[12]  A. Raymer,et al.  Poster 3: Examining the Effects of Treatment Intensity and Constraint-Induced Language Therapy for Persons With Stroke-Induced Aphasia: Findings of an Evidence-Based Systematic Review , 2007 .

[13]  John Whyte,et al.  Cognitive Rehabilitation Interventions for Executive Function: Moving from Bench to Bedside in Patients with Traumatic Brain Injury , 2006, Journal of Cognitive Neuroscience.

[14]  Albert A. Rizzo,et al.  Virtual Reality Technology for Psychological/Neuropsychological/Motor Assessment and Rehabilitation: Applications and Issues , 2006, IEEE Virtual Reality Conference (VR 2006).

[15]  Carol Bean,et al.  Techniques for Enabling the Older Population in Technology: a case study , 2004 .

[16]  S. Clarke,et al.  EFNS guidelines on cognitive rehabilitation: report of an EFNS task force , 2005, European journal of neurology.

[17]  J. Giacino,et al.  Evidence-based cognitive rehabilitation: recommendations for clinical practice. , 2000, Archives of physical medicine and rehabilitation.

[18]  Y Rossetti,et al.  Cognitive Rehabilitation , 2018, Neurorehabilitation in Neuro-Oncology.

[19]  Silvana Quaglini,et al.  Ontology-Based Automatic Generation of Computerized Cognitive Exercises , 2011, MIE.

[20]  G. Doniger,et al.  Validity of the Mindstreams™ computerized cognitive battery for mild cognitive impairment , 2007, Journal of Molecular Neuroscience.

[21]  J. Tornatore,et al.  Self-administered screening for mild cognitive impairment: initial validation of a computerized test battery. , 2005, The Journal of neuropsychiatry and clinical neurosciences.