Dataset for acoustic features extracted from voice recordings of people suffering Parkinson’s disease and healthy subjects

Published: 26 January 2023| Version 1 | DOI: 10.17632/fjd6fcfkwn.1
Contributors:
Javier Carrón,
,
, Carlos J. Perez

Description

The dataset contains acoustic features extracted from people suffering Parkinson’s disease and healthy subjects. All the information on data collection and dataset building is presented in the following paper. This paper is encouraged to be cited in case of any scientific research publication is produced using this dataset: Carrón, J., Campos-Roca, Y., Madruga, M. et al. A mobile-assisted voice condition analysis system for Parkinson’s disease: assessment of usability conditions. BioMed Eng OnLine 20, 114 (2021). https://doi.org/10.1186/s12938-021-00951-y All the data is included in the .csv file. A brief description of attributes can be found in the .pdf file. The research leading to this dataset has been funded by Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain (Project MTM2017-86875-C3-2-R) and the dataset is part of the project PID2021-122209OB-C32. It has also been funded by Junta de Extremadura, Spain (Projects GR18108 and GR18055), the European Union (European Regional Development Funds), and grant number FPU18/03274.

Files

Steps to reproduce

All the information on data collection and dataset building is presented in the following paper: Carrón, J., Campos-Roca, Y., Madruga, M. et al. A mobile-assisted voice condition analysis system for Parkinson’s disease: assessment of usability conditions. BioMed Eng OnLine 20, 114 (2021). https://doi.org/10.1186/s12938-021-00951-y

Institutions

Universidad de Extremadura

Categories

Biomedical Engineering, Speech Processing, Machine Learning, Parkinson's Disease

Funding

Agencia Estatal de Investigación

MTM2017-86875-C3-2-R

Agencia Estatal de Investigación

PID2021-122209OB-C32

Junta de Extremadura

GR18108 and GR18055

European Commission

European Regional Development Funds

Ministerio de Ciencia, Innovación y Universidades

FPU18/03274

Licence