
Building and evaluating a speech biomarker from 2-seconds sustained phonation to detect and monitor Parkinson’s disease
Poster presented at the International Congress of Parkinson’s Disease and Movement Disorders. Copenhagen, 2023.
Poster presented at the International Congress of Parkinson’s Disease and Movement Disorders. Copenhagen, 2023.
Ruhmel, Stephen, Johannes Tröger, Nicklas Linz, Janna Hermann, Mary Quiceno, and Kai Langel. Poster presented at the 15th Conference Clinical Trials Alzheimer’s Disease.
Automatic analysis of vocal tasks such as semantic verbal fluency
and storytelling could be a fast solution for supporting early
characterization of patients.
The ki:e SB-C is a reliable score for cognition, showing convergent validity with the MMSE and separating well between MCI and SCD populations.
SB-C can detect probable MCI patients in representative population sample of older people using a speech biomarker read-out.
PROSPECT-AD aims to validate speech biomarkers for identification of individuals with early signs of AD and monitor their longitudinal course through access to well-phenotyped cohort.
Study on the (additional) value of automatically derived speech and linguistic features of the
SVF task in the early diagnosis of cognitive impairments.
Found high agreement between face-to-face and video-conference-based administration method.