Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm

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

Confidence interval for micro-averaged F1 and macro-averaged F1 scores

(2021) Kanae Takahashi et al.   APPLIED INTELLIGENCE

Automated speech analysis in early untreated Parkinson's disease: Relation to gender and dopaminergic transporter imaging

(2021) Jan Rusz et al.   EUROPEAN JOURNAL OF NEUROLOGY

Parkinson’s Disease Detection by Using Feature Selection and Sparse Representation

(2021) Sajad Mohamadzadeh et al.   Journal of Medical and Biological Engineering

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

(2021) Máté Hireš et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Voice changes in Parkinson’s disease: What are they telling us?

(2020) Andrew Ma et al.   JOURNAL OF CLINICAL NEUROSCIENCE

A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment

(2020) Andrius Lauraitis et al.   SENSORS

The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson’s disease

(2020) Shu Yang et al.   Scientific Reports

Parkinson's disease or atypical parkinsonism? The importance of acoustic voice analysis in differential diagnosis of speech disorders

(2020) Renata Kowalska‐Taczanowska et al.   Brain and Behavior

Gradient boosting for Parkinson’s disease diagnosis from voice recordings

(2020) Ibrahim Karabayir et al.   BMC Medical Informatics and Decision Making

Prediction and Estimation of Parkinson’s Disease Severity Based on Voice Signal

(2020) Daria Hemmerling et al.   JOURNAL OF VOICE

A transversal study of fundamental frequency contours in parkinsonian voices

(2019) Pablo Rodríguez-Pérez et al.   Biomedical Signal Processing and Control

Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection

(2019) Liaqat Ali et al.   EXPERT SYSTEMS WITH APPLICATIONS

Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease

(2019) John M. Tracy et al.   JOURNAL OF BIOMEDICAL INFORMATICS

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

(2018) Lucijano Berus et al.   SENSORS

Changes in Phonation and Their Relations with Progress of Parkinson’s Disease

(2018) Zoltan Galaz et al.   Applied Sciences-Basel

Detecting Parkinson’s disease from sustained phonation and speech signals

(2017) Evaldas Vaiciukynas et al.   PLoS One

Addressing voice recording replications for Parkinson’s disease detection

(2016) Lizbeth Naranjo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Reduction of Parkinson's-related dysphonia by thyroplasty

(2016) B. Roubeau et al.   European Annals of Otorhinolaryngology-Head and Neck Diseases

Assessment of voice and speech symptoms in early Parkinson’s disease by the Robertson dysarthria profile

(2015) Giovanni Defazio et al.   NEUROLOGICAL SCIENCES

Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease

(2014) Athanasios Tsanas et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson’s Disease

(2014) Shanshan Yang et al.   PLoS One

Pathological speech signal analysis and classification using empirical mode decomposition

(2013) Muhammad Kaleem et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

(2012) A. Tsanas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

Pathological assessment of patients’ speech signals using nonlinear dynamical analysis

(2009) Ghazaleh Vaziri et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

(2008) M.A. Little et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Low-frequency vocal modulations in vowels produced by Parkinsonian subjects

(2007) L. Cnockaert et al.   SPEECH COMMUNICATION