2026-10-09T13:06:25Z https://data.mendeley.com/oai

oai:data.mendeley.com/zdp72s54cd.1 2024-09-24T08:51:38Z

Perez, Carlos J. Multicondition training for PD diagnosis with voice features from diadochokinesis test Mendeley Data The dataset includes acoustic features extracted from voice recordings using a diadochokinesis (DDK) test protocol. Realistic environmental noise was introduced into the recordings prior to feature extraction to simulate real-world conditions. The dataset comprises voice samples from 30 Parkinson's disease (PD) patients and 30 healthy controls. All samples were captured via smartphone without audio compression to preserve data quality. Signal Processing Machine Learning Diagnosis of Parkinson's Disease Mobile Health Madruga, Mario Campos-Roca, Yolanda Dataset doi:10.17632/zdp72s54cd.1 oai:data.mendeley.com/zdp72s54cd.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/zdp72s54cd 2024-09-24T08:51:38Z