Accepted for/Published in: JMIR Research Protocols
Date Submitted: Jun 28, 2022
Date Accepted: Oct 28, 2022
A Telemedicine Platform for Aphasia: A Protocol for a Development and Usability Study
ABSTRACT
Background:
Aphasia is a central disorder of comprehension and expression of language that cannot be attributed to a peripheral sensory deficit or a peripheral motor disorder. The diagnosis and treatment of aphasia are complex. Interventions that facilitate this process can lead to an increase in the number of assisted patients and greater precision in the therapeutic choice by the health professional.
Objective:
This paper outlines a protocol of a study that aims to implement a computer-based solution (i.e., a platform) that uses deep learning (DL) algorithms to classify aphasia and serious games for treatment. Additionally, this study aims to evaluate the usability and user experience of the proposed solution.
Methods:
Our interactive and smart platform will be developed to provide an alternative option for professionals and their patients with aphasia. We will design two serious games for aphasia rehabilitation, and a DL-driven computational solution to aid diagnosis. A pilot evaluation of usability and user experience will reveal user satisfaction with platform features.
Results:
The study was approved by the Ethics Committee of the Federal University of Piauí in October 2021, registration number 5.134.321.
Conclusions:
This research will contribute to the treatment and diagnosis of aphasia, by developing a computer solution based on a co-design process. Therefore, this research will provide an alternative method for healthcare to aphasia patients. Also, it will guide further studies with the same purpose. Clinical Trial: None
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.