Research Article
Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases
@INPROCEEDINGS{10.1007/978-3-030-70569-5_1, author={Louis Daudet and Christian Poellabauer and Sandra Schneider}, title={Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases}, proceedings={Wireless Mobile Communication and Healthcare. 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings}, proceedings_a={MOBIHEALTH}, year={2021}, month={7}, keywords={Speech analysis Portable diagnostics Proof of concept Experience report Mobile health}, doi={10.1007/978-3-030-70569-5_1} }- Louis Daudet
Christian Poellabauer
Sandra Schneider
Year: 2021
Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases
MOBIHEALTH
Springer
DOI: 10.1007/978-3-030-70569-5_1
Abstract
Mobile devices contain an increasing number of sensors, many of which can be used for disease diagnosis and monitoring. Thus along with the ease of access and use of mobile devices there is a trend towards developing neurological tests onto mobile devices. Speech-based approaches have shown particular promise in detection of neurological conditions. However, designing such tools carries a number of challenges, such as how to manage noise, delivering the instructions for the speech based tasks, handling user error, and how to adapt the design to be accessible to specific populations with Parkinson’s Disease and Amyotrophic Lateral Sclerosis. This report discusses our experiences in the design of a mobile-based application that assesses and monitors disease progression using speech changes as a biomarker.
