Screening method for early dementia using sound objects as voice biomarkers

Introduction: We present a screening method for early dementia using features based on sound objects as voice biomarkers.
Methods: The final dataset used for machine learning models consisted of 266 observations, with a distribution of 186 healthy individuals, 46 diagnosed with Alzheimer's, and 34 with MCI. This method is based on six-second recordings of the sustained vowel /a/ spoken by the subject. The main original contribution of this work is the use of carefully crafted features based on sound objects. …

alzheimer's cs.lg cs.sd dataset dementia distribution eess.as features introduction machine machine learning machine learning models objects q-bio.qm screening sound voice