Detection of novel acoustic biomarkers among Parkinson’s disease patients via an explainable machine learning model
Objective: Our aim was to develop and compare machine learning (ML) algorithms for identification of Parkinson’s disease (PD) patients via acoustic analysis of vowel articulation…Language influence on acoustic measures of sustained vowel in patients with Parkinson’s disease and healthy volunteers
Objective: To investigate the influence of language on acoustic measures of sustained vowels in patients with Parkinson’s disease and healthy volunteers, specifically focusing on jitter,…Laryngeal Dystonia, Dopa-Responsive Parkinsonism and Primary Progressive Aphasia with Alzheimer Disease Pathology
Objective: To report a case of laryngeal dystonia (LD), parkinsonism and primary progressive aphasia (PPA) with Alzheimer disease (AD) pathology Background: The presence of 3-4 neurological…Is It Better to Sing Together? A Review of Choral Singing for People with Parkinson’s Disease
Objective: This review assesses the effects of choral singing as an adjunct therapy for Parkinson’s disease (PD). Background: PD is the second-most common neurodegenerative disease,…Noise assessment acoustic measures of sustained vowel in patients with Parkinson’s disease
Objective: To investigate and quantify the presence of noise in the vocal signals of Parkinson's disease (PD) patients and healthy volunteers (HV) using acoustic measures,…Development and Validation of Personal Technology to Treat Hypophonia in Patients with Parkinson’s Disease
Objective: The purpose of this study was to develop and validate wearable technology to improve vocal intensity in patients with Parkinson’s Disease. Background: Parkinson’s disease…Interpretable voice-based detection of Parkinson’s disease using language-independent graph neural networks
Objective: To develop a robust, interpretable, and language-independent tool for voice-based detection of Parkinson’s disease (PD) using graph neural networks (GNNs), demonstrating superior cross-linguistic generalization…Indentifying Key Features for Predicting Clinical Status in Huntington’s Disease Patients Using Raw Speech Samples: a Lightweight Machine Learning Approach
Objective: This study aims to identify key features relevant for predicting the clinical status of patients with Huntington’s Disease (HD) using machine learning techniques applied…Predicting Clinical Status of Patients with Huntington’s Disease from Raw Speech Samples, a Lightweight Machine Learning Approach
Objective: We propose a machine learning-based method for inferring the clinical status of patients with Huntington’s Disease (HD) from raw voice recordings. Background: Assessing HD…Isolated vocal tremor: a case series
Objective: To describe the difficulties and limited treatment options for isolated vocal tremor. Background: Isolated vocal tremor is a unique phenotype of isolated focal tremor…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.