Challenges in Concussion Detection Using Vocal Acoustic Biomarkers

Author

Poellabauer, C. ; Yadav, N. ; Daudet, L. ; Schneider, S.L. ; Busso, C. ; Flynn, P.J.

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA

Volume

3

fYear

2015

fDate

2015

Firstpage

1143

Lastpage

1160

Abstract

Acoustic metrics extracted from speech have the potential to serve as novel biomarkers for a variety of neurological and neurodevelopmental conditions, as is evidenced by the rapidly growing corpus of research articles studying the links between brain impairments and speech. In this paper, we discuss the advantages and the disadvantages of speech biomarkers and the various challenges in the design and the implementation of portable speech-based diagnostic and assessment tools. Furthermore, we provide a case study, presenting our experiences in developing an assessment tool for the detection of mild traumatic brain injuries (concussions) and discuss the challenges in obtaining and analyzing large sets of speech recordings that can be used to study the impact of brain injuries on vocal features.

Keywords

bioacoustics; brain; injuries; neurophysiology; patient diagnosis; speech; acoustic metrics; assessment tools; brain impairments; concussion detection; mild traumatic brain injuries; neurodevelopmental conditions; neurological conditions; portable speech-based diagnostic tools; speech biomarkers; vocal acoustic biomarkers; Acoustic measurements; Biomarkers; Brain injuries; Speech processing; Speech recognition; Speech analysis; concussions; mild traumatic brain injuries; speech recognition; vocal features;

fLanguage

English

Journal_Title

Access, IEEE

Publisher

ieee

ISSN

2169-3536

Type

jour

DOI

10.1109/ACCESS.2015.2457392

Filename

7160664