Convolutional neural network ensemble for Parkinson's disease detection from voice recordings

Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction

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Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

(2021) Laureano Moro-Velazquez et al.   Biomedical Signal Processing and Control

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

(2021) Jie Mei et al.   Frontiers in Aging Neuroscience

Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech

(2020) Biswajit Karan et al.   Biomedical Signal Processing and Control

Effect of levodopa on handwriting tasks of different complexity in Parkinson’s disease: a kinematic study

(2019) Poonam Zham et al.   JOURNAL OF NEUROLOGY

On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art

(2019) J.A. Gómez-García et al.   Biomedical Signal Processing and Control

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

Gait impairments in Parkinson's disease

(2019) Anat Mirelman et al.   LANCET NEUROLOGY

Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques

(2019) Jefferson S. Almeida et al.   PATTERN RECOGNITION LETTERS

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease

(2018) Laureano Moro-Velázquez et al.   APPLIED SOFT COMPUTING

An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach

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Edge Computing with Cloud for Voice Disorder Assessment and Treatment

(2018) Ghulam Muhammad et al.   IEEE COMMUNICATIONS MAGAZINE

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(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Multimodal assessment of Parkinson's disease: a deep learning approach

(2018)   IEEE Journal of Biomedical and Health Informatics

Classifying Parkinson’s Disease Based on Acoustic Measures Using Artificial Neural Networks

(2018) Lucijano Berus et al.   SENSORS

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

(2018) Hwejin Jung et al.   BMC MEDICAL IMAGING

On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors

(2018) J.A. Gómez-García et al.   Biomedical Signal Processing and Control

Epidemiology of Parkinson’s disease

(2017) Ole-Bjørn Tysnes et al.   JOURNAL OF NEURAL TRANSMISSION

Detecting Parkinson’s disease from sustained phonation and speech signals

(2017) Evaldas Vaiciukynas et al.   PLoS One

A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease

(2017) Zhennao Cai et al.   IEEE Access

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(2017) Werner Poewe et al.   Nature Reviews Disease Primers

Robust and complex approach of pathological speech signal analysis

(2015) Jiri Mekyska et al.   NEUROCOMPUTING

Imprecise vowel articulation as a potential early marker of Parkinson's disease: Effect of speaking task

(2013) Jan Rusz et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease

(2011) J. Rusz et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Automatic detection of voice impairments from text-dependent running speech

(2009) J.I. Godino-Llorente et al.   Biomedical Signal Processing and Control

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(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Short- and long-term dopaminergic effects on dysarthria in early Parkinson’s disease

(2009) Sabine Skodda et al.   JOURNAL OF NEURAL TRANSMISSION

Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results

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