Detection of dementia on voice recordings using deep learning: a Framingham Heart Study.

ABSTRACT:

Background

Identification of reliable, affordable, and easy-to-use strategies for detection of dementia is sorely needed. Digital technologies, such as individual voice recordings, offer an attractive modality to assess cognition but methods that could automatically analyze such data are not readily available.

Methods and findings

We used 1264 voice recordings of neuropsychological examinations administered to participants from the Framingham Heart Study (FHS), a community-based longitudinal observational study. The recordings were 73 min in duration, on average, and contained at least two speakers (participant and examiner). Of the total voice recordings, 483 were of participants with normal cognition (NC), 451 recordings were of participants with mild cognitive impairment

SUBMITTER: Xue C 

PROVIDER: S-EPMC8409004 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature