An individually adaptable, BNCI-based, remote controlled Cognitive Enhancement Training for successful rehabilitation after stroke including

home support and monitoring

GRANT-AGREEMENT: 287320Collaborative Project – STREP

CONTRAST – Consortium

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The Need and The Gap

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The Burden of stroke is predicted to increase from 38 Mio DALYs worldwide in 1990 to 61 Mio DALYs in 2020. [WHO, 2004]

Bridge the GAP between institutionalized REHA and home

Provide an adaptive Human-Computer Interface

The CONTRAST Product

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Will comprise– The Human-Computer Interface

(HCI) with cognitive training modules

– The medical and neuropsychological decision algorithm for shared decision making

– Test battery for outcome measurement

– Remote monitoring and control

The Human-Computer Interface

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Training to modulate the EEG = Neurofeedback

Effects:-Voluntary increase or decrease of amplitudes-Improved cognitive function (e.g. attention)

Evaluation Framework

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Effects on Memory End-Users with Stroke

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• Memory Task (Sternberg, 1966);• Memory training with COALA module;• Pre and post training behavioral and

neurophysiological (hd-EEG) assessment

After memory training patients showed a significant improvement in memory tests (up left) associated to a change in connectivity patterns (bottom right) pointing to a significant increase in the left temporal degree (bottom left)

Connectivity-based indices to monitor efficacy

Remote Control and Secure Data Transfer

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Interaction between end-users and developers

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Users:Patients after strokeHealth professionals

early focus on users, tasks and environment;

the active involvement of users;

an appropriate allocation of function between user and system;

the incorporation of user-derived feedback into system design;

iterative design whereby a prototype is designed, tested and modified

CONTRAST

• Product COALA– Neuropsychological Test Battery with automated output of results for shared

decision making between doctors and patients– Human-computer interface for neurofeedback training– EEG headset for easy set-up– Remote controlled training and data storage for monitoring of rehabilitation– Improved cognitive function

• Potential Impact– Reduced time for inpatient rehabilitation– Continuation of training after release from rehabilitation unit– Increased rehabilitation effects– Increased independence and autonomy of end-users– Continuous support and supervision preventing exclusion

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