Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis

Gabriela M. Stegmann, Shira Hahn, Julie Liss, Jeremy Shefner, Seward Rutkove, Kerisa Shelton, Cayla Jessica Duncan, Visar Berisha

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Bulbar deterioration in amyotrophic lateral sclerosis (ALS) is a devastating characteristic that impairs patients’ ability to communicate, and is linked to shorter survival. The existing clinical instruments for assessing bulbar function lack sensitivity to early changes. In this paper, using a cohort of N = 65 ALS patients who provided regular speech samples for 3–9 months, we demonstrated that it is possible to remotely detect early speech changes and track speech progression in ALS via automated algorithmic assessment of speech collected digitally.

Original languageEnglish (US)
Article number132
Journalnpj Digital Medicine
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Informatics
  • Health Information Management
  • Computer Science Applications

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