Developing Facial and Speech Digital Tools for Clinical Assessments of Patients with Huntington's Disease: An Exploratory Study
Abstract
Facial dyskinesia and speech abnormalities are prominent clinical features of Huntington’s disease (HD), yet their objective quantification remains limited in routine clinical practice. In this exploratory study, we employed a standardized Python-based digital assessment protocol to extract quantitative facial and speech features from individuals with manifest HD and healthy controls (HC).17 facial features across four facial regions and 42 speech features spanning fundamental frequency, loudness regulation, phonation instability, and temporal dynamics were analyzed.
Fields of Study & Subjects
Voice and Speech Disorders
Genetic Neurodegenerative Diseases
Dementia and Cognitive Impairment Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset