Developing Facial and Speech Digital Tools for Clinical Assessments of Patients with Huntington's Disease: An Exploratory Study | Zenodo Skip to main Communities My dashboard Log in Sign up There is a newer version of the record available. Published April 30, 2026 | Version v4 Dataset Open Developing Facial and Speech Digital Tools for Clinical Assessments of Patients with Huntington's Disease: An Exploratory Study Authors/Creators Lu, Liyuan 1 Show affiliations 1. Capital Medical University Description 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. Files Files (178.6 kB) Name Size Download all blink feature.py md5:a13101a2ab163ccc237217b0e56cacb8 7.8 kB Download correlation analysis.py md5:cf0bb7d01c62bbe7d52b253ab1fb861f 21.8 kB Download Facial and speech feature of HD and HC-2.xlsx md5:7d9a0346290cfc59abd2d4bca183c62b 59.8 kB Download facial variability feature extraction.py md5:0563003049bd8d67703d50419d83d767 3.7 kB Download HC and HD comparism.py md5:946aa1966fc597cdc54783ee3a88b098 23.3 kB Download machine learning.py md5:b2d2bb778c444989e05244a6ee48f63a 17.2 kB Download ROC calculation..py md5:d2e230b9023e3a417d4035feff87bfce 30.5 kB Download speech feature extraction.py md5:9b468e2647201b5ce19a4c46b5ee5051 14.6 kB Download 94 Views 180 Downloads Show more details All versions This version Views Total views 94 13 Downloads Total downloads 180 43 Data volume Total data volume 5.4 MB 984.4 kB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19905386 Markdown [](https://doi.org/10.5281/zenodo.19905386) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19905386.svg :target: https://doi.org/10.5281/zenodo.19905386 HTML <a href="https://doi.org/10.5281/zenodo.19905386"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19905386.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19905386.svg Target URL https://doi.org/10.5281/zenodo.19905386 Resource type Dataset Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 30, 2026 Modified April 30, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies