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Abstract Background This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant ITA , which automatically selects, configures and schedules rehabilitation tasks for patients with cognitive impairments after an episode of Acquired Brain Injury.
Methods The ITA selects those tasks that are more suitable for the specific needs of each patient, considering previous experiences, and improving the personalization of the treatment. The system applies data mining techniques to cluster the patients according their cognitive impairment profile.
Then, the algorithm rates every rehabilitation task, based on its cognitive structure and the clinical impact of executions done by similar patients.
Results The ITA has been evaluated during 18 months by patients. In order to evaluate the effectiveness of the ITA, a comparison between the traditional manual planning procedure and the one presented in this paper has been done, taking into account: a the selected tasks assigned to rehabilitation sessions; b the difficulty level configured for the sessions; c and the improvement of their cognitive capacities after completing treatment. Conclusions The obtained results reveal that the rehabilitation treatment proposed by the ITA is as effective as the one performed manually by therapists, arising as a new powerful support tool for therapists.
The obtained results make us conclude that the proposal done by the ITA is very close to the one done by therapists, so it is suitable for real treatments. Background Acquired Brain Injury ABI is defined as brain damage that suddenly and unexpectedly appears in people's life, being the main cause of disability in developed countries [ 1 ].
Globally, cerebrovascular disease is the second leading cause of death and the eighth cause of severe disability in the elderly. The WHO estimated that in , stroke accounted for 5. Only one third of patients recovers their basic functions and can resume a normal life [ 3 ].
The incidence of TBI over industrialized countries is in a range of to per , habitants, with an average age between 16 to 35 and mostly male [ 4 ].
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