Evolution of Cognitive Rehabilitation After Stroke From Traditional Techniques to Smart and Personalized Home-Based Information and Communication Technology Systems: Literature Review

Background Neurological patients after stroke usually present cognitive deficits that cause dependencies in their daily living. These deficits mainly affect the performance of some of their daily activities. For that reason, stroke patients need long-term processes for their cognitive rehabilitation. Considering that classical techniques are focused on acting as guides and are dependent on help from therapists, significant efforts are being made to improve current methodologies and to use eHealth and Web-based architectures to implement information and communication technology (ICT) systems that achieve reliable, personalized, and home-based platforms to increase efficiency and level of attractiveness for patients and carers. Objective The goal of this work was to provide an overview of the practices implemented for the assessment of stroke patients and cognitive rehabilitation. This study puts together traditional methods and the most recent personalized platforms based on ICT technologies and Internet of Things. Methods A literature review has been distributed to a multidisciplinary team of researchers from engineering, psychology, and sport science fields. The systematic review has been focused on published scientific research, other European projects, and the most current innovative large-scale initiatives in the area. A total of 3469 results were retrieved from Web of Science, 284 studies from Journal of Medical Internet Research, and 15 European research projects from Community Research and Development Information Service from the last 15 years were reviewed for classification and selection regarding their relevance. Results A total of 7 relevant studies on the screening of stroke patients have been presented with 6 additional methods for the analysis of kinematics and 9 studies on the execution of goal-oriented activities. Meanwhile, the classical methods to provide cognitive rehabilitation have been classified in the 5 main techniques implemented. Finally, the review has been finalized with the selection of 8 different ICT–based approaches found in scientific-technical studies, 9 European projects funded by the European Commission that offer eHealth architectures, and other large-scale activities such as smart houses and the initiative City4Age. Conclusions Stroke is one of the main causes that most negatively affect countries in the socioeconomic aspect. The design of new ICT-based systems should provide 4 main features for an efficient and personalized cognitive rehabilitation: support in the execution of complex daily tasks, automatic error detection, home-based performance, and accessibility. Only 33% of the European projects presented fulfilled those requirements at the same time. For this reason, current and future large-scale initiatives focused on eHealth and smart environments should try to solve this situation by providing more complete and sophisticated platforms.

[1]  Joachim Hermsdörfer,et al.  Spatial and kinematic features of apraxic movement depend on the mode of execution , 2006, Neuropsychologia.

[2]  Laurel J Buxbaum,et al.  Naturalistic action production following right hemisphere stroke , 1998, Neuropsychologia.

[3]  Myrna F. Schwartz,et al.  Buttering a Hot Cup of Coffee: An Approach to the Study of Errors of Action in Patients with Brain Damage , 1990 .

[4]  Alan Sunderland,et al.  Ideomotor Apraxia And Functional Ability , 2007, Cortex.

[5]  Myrna F. Schwartz,et al.  The Naturalistic Action Test: A standardised assessment for everyday action impairment , 2002 .

[6]  Hélène Kerhervé,et al.  Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies , 2015, Clinical interventions in aging.

[7]  Joachim Hermsdörfer,et al.  Both hands at work: the effect of aging on upper-limb kinematics in a multi-step activity of daily living , 2017, Experimental Brain Research.

[8]  Marc Fisher,et al.  Developing and implementing future stroke therapies: The potential of telemedicine , 2005, Annals of neurology.

[9]  Will Spijkers,et al.  From pantomime to actual use: How affordances can facilitate actual tool-use , 2011, Neuropsychologia.

[10]  Ioannis Kompatsiaris,et al.  Dementia Ambient Care: Multi-Sensing Monitoring for Intelligent Remote Management and Decision Support , 2012 .

[11]  L. Buxbaum,et al.  The Coffee Challenge: A new method for the study of everyday action errors , 2007, Journal of clinical and experimental neuropsychology.

[12]  Matteo Pastorino,et al.  Preliminary Evaluation of a Personal Healthcare System Prototype for Cognitive eRehabilitation in a Living Assistance Domain , 2014, Sensors.

[13]  Joost Dekker,et al.  Efficacy of strategy training in left hemisphere stroke patients with apraxia: A randomised clinical trial , 2001 .

[14]  Roger Orpwood.  Assistive technology for dementia:the Gloucester 'Smart House' project , 2006 .

[15]  J Hermsdörfer,et al.  The effect of tactile feedback on pantomime of tool use in apraxia , 2004, Neurology.

[16]  Michael W. Montgomery,et al.  Naturalistic action impairment in closed head injury. , 1998, Neuropsychology.

[17]  Joachim Hermsdörfer,et al.  Manual and hemispheric asymmetries in the execution of actual and pantomimed prehension , 2005, Neuropsychologia.

[18]  T Shallice,et al.  A Form of Ideational Apraxia as a Delective Deficit of Contention Scheduling , 2001, Cognitive neuropsychology.

[19]  Glyn W. Humphreys,et al.  The use of memorised verbal scripts in the rehabilitation of action disorganisation syndrome , 2006, Neuropsychological rehabilitation.

[20]  Pratik K. Mutha,et al.  Coordination deficits in ideomotor apraxia during visually targeted reaching reflect impaired visuomotor transformations , 2010, Neuropsychologia.

[21]  Robert L. Sainburg,et al.  Dissociation of initial trajectory and final position errors during visuomotor adaptation following unilateral stroke , 2009, Brain Research.

[22]  Michael W. Montgomery,et al.  Analysis of a disorder of everyday action , 1995 .

[23]  Julie A Fiez,et al.  A Flexible and Integrated System for the Remote Acquisition of Neuropsychological Data in Stroke Research. , 2016, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[24]  Agnès Roby-Brami,et al.  Tool use kinematics across different modes of execution. Implications for action representation and apraxia , 2013, Cortex.

[25]  T. Shallice,et al.  The simulation of action disorganisation in complex activities of daily living , 2005, Cognitive neuropsychology.

[26]  K M Heilman,et al.  Joint coordination deficits in limb apraxia. , 1995, Brain : a journal of neurology.

[27]  Sandra E. Black,et al.  Transitive gesture production in apraxia: Visual and nonvisual sensory contributions , 2001, Brain and Cognition.

[28]  Sonja C. Kleih,et al.  Toward a P300 Based Brain-Computer Interface for Aphasia Rehabilitation after Stroke: Presentation of Theoretical Considerations and a Pilot Feasibility Study , 2016, Front. Hum. Neurosci..

[29]  Frank Vetere,et al.  How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information , 2016, JMIR rehabilitation and assistive technologies.

[30]  L. Buxbaum,et al.  Ideational apraxia and naturalistic action. , 1998, Cognitive neuropsychology.

[31]  L. Buxbaum,et al.  The Role of the Dynamic Body Schema in Praxis: Evidence from Primary Progressive Apraxia , 2000, Brain and Cognition.

[32]  K M Heilman,et al.  Ecological implications of limb apraxia: Evidence from mealtime behavior , 1995, Journal of the International Neuropsychological Society.

[33]  K M Heilman,et al.  Spatial planning deficits in limb apraxia. , 1994, Brain : a journal of neurology.

[34]  James Carey,et al.  Design and implementation of a home stroke telerehabilitation system , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[35]  Alejandra Rosales-Lagarde,et al.  Information and Communication Technologies in the Care of the Elderly: Systematic Review of Applications Aimed at Patients With Dementia and Caregivers , 2016, JMIR rehabilitation and assistive technologies.

[36]  Uttama Lahiri,et al.  A step towards developing a virtual reality based rehabilitation system for individuals with post-stroke forearm movement disorders , 2013, 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE).

[37]  S Giaquinto,et al.  On the prognosis of outcome after stroke , 1999, Acta neurologica Scandinavica.

[38]  Robert L. Sainburg,et al.  Hemispheric specialization and functional impact of ipsilesional deficits in movement coordination and accuracy , 2009, Neuropsychologia.

[39]  Tania Giovannetti,et al.  Improving everyday error detection, one picture at a time: a performance-based study of everyday task training. , 2011, Neuropsychology.

[40]  M Korman,et al.  Living Labs: overview of ecological approaches for health promotion and rehabilitation , 2016, Disability and rehabilitation.

[41]  Joachim Hermsdörfer,et al.  Effects of Stroke on Ipsilesional End-Effector Kinematics in a Multi-Step Activity of Daily Living , 2017, Front. Hum. Neurosci..

[42]  Jeffrey Soar,et al.  Older people, assistive technologies, and the barriers to adoption: A systematic review , 2016, Int. J. Medical Informatics.

[43]  Fernando Fernández,et al.  THERAPIST: Towards an Autonomous Socially Interactive Robot for Motor and Neurorehabilitation Therapies for Children , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[44]  Dana Samson,et al.  Separating forms of neglect using the Apples Test: validation and functional prediction in chronic and acute stroke. , 2011, Neuropsychology.

[45]  Leif Johannsen,et al.  Tool use without a tool: kinematic characteristics of pantomiming as compared to actual use and the effect of brain damage , 2012, Experimental Brain Research.

[46]  G. Antes,et al.  Five Steps to Conducting a Systematic Review , 2003, Journal of the Royal Society of Medicine.

[47]  A. Serretti,et al.  A systematic review of neurobiological and clinical features of mindfulness meditations , 2009, Psychological Medicine.

[48]  S. Levine,et al.  "Telestroke" : the application of telemedicine for stroke. , 1999, Stroke.

[49]  Sergi Bermúdez i Badia,et al.  RehabNet: A distributed architecture for motor and cognitive neuro-rehabilitation , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

[50]  James Gordon,et al.  Hemisphere Specific Impairments in Reach-to-Grasp Control After Stroke: Effects of Object Size , 2009, Neurorehabilitation and neural repair.

[51]  H. Liepmann.  Drei Aufsätze aus dem Apraxiegebiet , 1908 .

[52]  J. Hermsdörfer,et al.  Effects of unilateral brain damage on grip selection, coordination, and kinematics of ipsilesional prehension , 1999, Experimental Brain Research.

[53]  Glyn W Humphreys,et al.  Dissociations in Routine Behaviour across Patients and Everyday Tasks , 2002, Neurocase.

[54]  G. Parker,et al.  Community Attitudes to the Appropriation of Mobile Phones for Monitoring and Managing Depression, Anxiety, and Stress , 2010, Journal of medical Internet research.

[55]  J. Edmans,et al.  Validity of a Virtual Environment for Stroke Rehabilitation , 2006, Stroke.

[56]  Georg Goldenberg Sonja Hagmann,et al.  Therapy of Activities of Daily Living in Patients with Apraxia , 1998 .

[57]  Robert L Sainburg,et al.  Ipsilesional motor deficits following stroke reflect hemispheric specializations for movement control. , 2007, Brain : a journal of neurology.

[58]  J. Hermsdörfer,et al.  Prehension With the Ipsilesional Hand After Unilateral Brain Damage , 1999, Cortex.

[59]  P. Schulz,et al.  Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.

[60]  Denis Mareschal,et al.  Action selection in complex routinized sequential behaviors. , 2010, Journal of experimental psychology. Human perception and performance.

[61]  Michael W. Montgomery,et al.  The quantitative description of action disorganisation after brain damage: a case study , 1991 .

[62]  Diane J. Cook,et al.  MavHome: an agent-based smart home , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[63]  A. Mihailidis,et al.  The COACH prompting system to assist older adults with dementia through handwashing: An efficacy study , 2008, BMC geriatrics.

[64]  Alessia Bramanti,et al.  Tele-Health and neurology: what is possible? , 2013, Neurological Sciences.

[65]  O. Foerster,et al.  THE MOTOR CORTEX IN MAN IN THE LIGHT OF HUGHLINGS JACKSON'S DOCTRINES , 1936 .

[66]  G. Humphreys,et al.  Disordered action schema and action disorganisation syndrome , 1998 .

[67]  Robert T. Knight,et al.  Ipsilesional trajectory control is related to contralesional arm paralysis after left hemisphere damage , 2009, Experimental Brain Research.

[68]  Virgílio F. Bento,et al.  Web-Based Cognitive Training: Patient Adherence and Intensity of Treatment in an Outpatient Memory Clinic , 2014, Journal of medical Internet research.

[69]  G. Humphreys,et al.  Comparing action disorganization syndrome and dual-task load on normal performance in everyday action tasks , 2009, Neurocase.

[70]  Robert L Sainburg,et al.  Left Parietal Regions Are Critical for Adaptive Visuomotor Control , 2011, The Journal of Neuroscience.

[71]  R. Tate,et al.  Error Types in Ideomotor Apraxia: A Qualitative Analysis , 1994, Brain and Cognition.

[72]  K. Poeck.  Ideational apraxia , 2004, Journal of Neurology.