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…Automatic Detection of Parkinson’s Disease by Voice Analysis
Objective: This study aimed to address this gap by investigating whether convolutional neural networks (CNN) can accurately distinguish PD patients from non-PD individuals. Background: Vocal…Analysis of the relationship between acoustic measures and VHI score
Objective: To examine whether there is a relationship between acoustic measurements extracted from audio recordings of sustained vowel /a/ of PWP and their VHI scores.…Deep Learning Approaches for Recognition of Parkinson’s Disease Patients through Handwriting, Audio and Video Analysis
Objective: The aim of this study was to build PD diagnostic models based on deep learning approaches using technologies including handwriting identification, automatic speech recognition…Association of creaky voice with motor severity in Parkinson’s disease using an automated algorithm.
Objective: We characterized creaky voice in Parkinson’s disease (PD) and evaluated the association of this acoustic phenomenon with motor and cognitive status. Background: Creaky voice (“vocal fry”)…Feasibility of telephonic voice samples to remotely monitor people with Parkinson’s disease residing in medically underserved rural regions
Objective: To explore the feasibility of collecting voice samples using digital voicemail in People with Parkinson’s disease (PwPD). Background: For many PwPD, the increased adoption…Unravelling Voice Tremor In Movement Disorders: A Machine Learning Study
Objective: The aim of this study is to achieve a direct and objective discrimination between voice samples recoded from patients with essential tremor and dysphonia…Effects of Vibrotactile Feedback and Lee Silverman Voice Treatment on Vocal Intensity in Individuals with Parkinson’s Disease: A Preliminary Study
Objective: To compare vocal intensity between locations (home versus clinic), treatment groups [Vibrotactile feedback (VF) only versus LSVT LOUD® and VF], and VF status (on…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.