Aphasia is a neurological condition that manifests itself through
deficiencies in linguistic functions, which are essential for social
interaction and activities of daily living. This deficiency is
associated with a loss of working memory capacity, which is responsible
for the temporary storage of information. This work sought to develop an
approach to aid professionals involved in aphasia treatment and
rehabilitation programs, aiming to improve the manner in which evidences
of rehabilitation are obtained. The methodology is based on an
electroencephalography device, which captures brain signals from
individuals while they execute a task that stimulates verbal working
memory. The signals are processed using an approach based on
event-related potentials, which are then used as input to a statistical
model trained with a scientifically validated measurement of working
memory. The results indicated that the error of the model was slightly
larger than expected, but diminished proportionally to the amount of
training samples. We conclude the study suggesting research paths to
reduce the error of the model and investigate the feasibility of this
approach in a clinical context.