MDS Abstracts

Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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Articles tagged "Voice tremor"

  • 2026 International Congress

    Fusion Learning with Attention-VAE Imputation for Mixed-Reality Multisensor Screening of Parkinson’s Disease

    J. Krzywdziak, J. Stępień, W. Szecówka, M. Dudek, M. żbik, M. Baran, N. Bozetine, J. Sikora, M. Wójcik-Pędziwiatr, M. Rudzińska-Bar, D. Hemmerling (Kraków, Poland)

    Objective: To evaluate whether a mixed-reality (MR) multisensor protocol combined with multimodal learning can discriminate Parkinson’s disease (PD) from healthy controls (HC) despite substantial missing…
  • 2026 International Congress

    Voice-Based Screening of Parkinsonian Disorders Using Acoustic Feature Analysis and Machine Learning

    L. Cruz-Mondragon, A. Shih, V. Santini, S. Panchawagh (Winston Salem, USA)

    Objective: To evaluate whether acoustic features from voice recordings can distinguish Parkinson’s disease and related parkinsonian disorders from healthy controls. Background: Speech production depends on…
  • 2026 International Congress

    A biomarker of Huntington’s disease progression derived from deep neural speech representations

    C. Le Moine, AC. Bachoud-Lévi, R. Massart, R. Louiset (Creteil, France)

    Objective: To derive a speech-based score reflecting Huntington’s disease (HD) progression from deep neural representations of raw voice recordings and evaluate its potential as a…
  • 2026 International Congress

    Real-World Mobile Voice Classification for Parkinson’s Disease Using Convolutional Neural Networks and Mel-Spectrogram Features

    N. Leabthong, J. Sringean, T. Laosombut, N. Jeh-Voh1, Z. Win, P. Rattanajun, S. Phumphid, C. Anan, J. Meesri, S. Wekhinhiran, O. Phokaewvarangkul, P. Panyakaew, S. Maytharakcheep, P. Jagota, R. Bhidayasiri (Bangkok, Thailand)

    Objective: To evaluate the performance of deep learning approach based on Mel-spectrogram features in classifying PD using two real-world speech tasks - sustained phonation and…
  • 2026 International Congress

    Quantitative Neurodegenerative Risk Modelling and Clinical Score Prediction Using Mixed Reality

    J. Stępień, M. Baran, W. Szecówka, N. Bozetine, M. Dudek, J. Krzywdziak, M. żbik, J. Sikora, D. Hemmerling, M. Wójcik-Pędziwiatr (Kraków, Poland)

    Objective: This study investigates the potential of mixed reality (MR) tool for multimodal data collection from individuals with Parkinson’s disease and examines the use of…
  • 2025 International Congress

    Detection of novel acoustic biomarkers among Parkinson’s disease patients via an explainable machine learning model

    K. Tsutsumi, P. Chang, S. Isfahani (San Diego, USA)

    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…
  • 2025 International Congress

    Language influence on acoustic measures of sustained vowel in patients with Parkinson’s disease and healthy volunteers

    I. Khasanov, D. Khasanova (Kazan, Russian Federation)

    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,…
  • 2025 International Congress

    Laryngeal Dystonia, Dopa-Responsive Parkinsonism and Primary Progressive Aphasia with Alzheimer Disease Pathology

    A. Eid, R. Perrin, J. Perlmutter, S. Norris (Saint Louis, USA)

    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…
  • 2025 International Congress

    Is It Better to Sing Together? A Review of Choral Singing for People with Parkinson’s Disease

    S. Kolipaka, H. Kong, P. Izbicki (Boca Raton, USA)

    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,…
  • 2025 International Congress

    Noise assessment acoustic measures of sustained vowel in patients with Parkinson’s disease

    I. Khasanov, D. Khasanova (Kazan, Russian Federation)

    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,…
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