Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases Conference

Daudet, L, Poellabauer, C, Schneider, S. (2021). Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases . 362 LNICST 3-17. 10.1007/978-3-030-70569-5_1

cited authors

  • Daudet, L; Poellabauer, C; Schneider, S

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.

publication date

  • January 1, 2021

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

start page

  • 3

end page

  • 17

volume

  • 362 LNICST