Research Reports - Portable mTBI assessment using temporal and frequency analysis of speech

 IEEE J Biomed Health Inform. 2016 Dec 1. [Epub ahead of print]

Daudet L, Yadav N, Perez M, Poellabauer C, Schneider S, Huebner A.

This paper shows that extraction and analysis of various acoustic features from
speech using mobile devices can allow the detection of patterns that could be
indicative of neurological trauma. This may pave the way for new types of
biomarkers and diagnostic tools. Toward this end, we created a mobile application
designed to diagnose mild traumatic brain injuries (mTBI) such as concussions.
Using this application, data was collected from youth athletes from 47 high
schools and colleges in the the Midwestern United States. In this paper, we focus
on the design of a methodology to collect speech data, the extraction of various
temporal and frequency metrics from that data, and the statistical analysis of
these metrics to nd patterns that are indicative of a concussion. Our results
suggest a strong correlation between certain temporal and frequency features and
the likelihood of a concussion. 

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