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A Telemedicine Platform for Aphasia: Protocol for a Development and Usability Study.
Monara Nunes1, Ariel Soares Teles2, Daniel Farias3
1Federal University of Piauí, Regeneração, Brazil.
JMIR Research Protocols
|November 24, 2022
Summary
This study introduces a telemedicine platform using deep learning for aphasia diagnosis and serious games for treatment. The research aims to improve care accessibility and precision for individuals with language disorders.
Area of Science:
- Neurolinguistics
- Computational linguistics
- Health informatics
Background:
- Aphasia is a complex language disorder affecting comprehension and expression.
- Current diagnosis and treatment of aphasia present significant challenges.
- Facilitating interventions can enhance patient care and therapeutic precision.
Purpose of the Study:
- To implement a telemedicine platform for aphasia diagnosis and treatment.
- To develop deep learning models for vocal data classification in aphasia.
- To create serious games for aphasia rehabilitation and evaluate user experience.
Main Methods:
- Development of an interactive, smart telemedicine platform.
- Design of two serious games tailored for aphasia rehabilitation.
- Integration of a deep learning computational solution for diagnostic support.
- Pilot evaluation of platform usability and user satisfaction.
Main Results:
- Data collection commenced in June 2022 and is ongoing.
- System development and usability results are anticipated by mid-2023.
- The platform aims to offer an alternative for professionals and patients.
Conclusions:
- The research contributes to improved aphasia diagnosis and treatment via a co-designed telemedicine platform.
- This initiative provides an alternative healthcare method for aphasia patients.
- Findings will inform future research in digital health solutions for aphasia.

