1).Ĭonclusion: The app could be successfully installed and run on the android phones. Across the participants, the first sound cues were the strongest ones in eliciting the correct response (see Fig. P3 and P4 were successfully trained on 22 of 44 and 17 of 17 items, respectively in 5 days of app usage. P2 did not show any notable difference (5/53). Results: Participant 1 (P1) was successfully trained on 25 of 40 items. The daily training for 5 consecutive days was remotely monitored by the investigator through web interface. The app was subsequently issued to 4 persons with aphasia (3 Broca’s &1 anomic aphasia). The IEC of the University Clinic approved the current study (IEC #: 476/2017). Methods: The android app was developed with the help of the technical experts. Objective: The objective of this study was to implement the PCA in an android platform and to pilot test the. Phonological component analysis (PCA) is a theory-driven, empirically proven treatment approach to address such deficit. Background: Difficulty to select and produce suitable speech sounds (i.e., phonemes) is a common deficit in persons with aphasia following brain damage.
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