Suitability of dysphonia measurements for telemonitoring of Parkinson's disease. - Wikidata - wikimedia - TriplyDB

Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

http://www.wikidata.org/entity/Q30476459

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Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review.Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.Automated analysis of connected speech reveals early biomarkers of Parkinson's disease in patients with rapid eye movement sleep behaviour disorder Classification of Parkinson's disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples.Talking Less during Social Interactions Predicts Enjoyment: A Mobile Sensing Pilot Study An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine A Multiple-Classifier Framework for Parkinson's Disease Detection Based on Various Vocal Tests Diagnosing Parkinson's Diseases Using Fuzzy Neural System.Adaptive Multi-Rate Compression Effects on Vowel Analysis Automatic Evaluation of Speech Rhythm Instability and Acceleration in Dysarthrias Associated with Basal Ganglia Dysfunction An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach.Relative fundamental frequency during vocal onset and offset in older speakers with and without Parkinson's disease.Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.Objective acoustic quantification of phonatory dysfunction in Huntington's disease Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity.Objective dysphonia quantification in vocal fold paralysis: comparing nonlinear with classical measures Highly comparative time-series analysis: the empirical structure of time series and their methods.Transfer Learning for Class Imbalance Problems with Inadequate Data.Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures.A robust data scaling algorithm to improve classification accuracies in biomedical data A telemedicine instrument for remote evaluation of tremor: design and initial applications in fatigue and patients with Parkinson's disease Comparison of LDA and SPRT on Clinical Dataset Classifications.Supporting Regularized Logistic Regression Privately and Efficiently An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications.An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.A systematic review of the use of telehealth in speech, language and hearing sciences.Feature selection and extraction for class prediction in dysphonia measures analysis:A case study on Parkinson's disease speech rehabilitation.Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease.Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation.Addressing voice recording replications for tracking Parkinson's disease progression.A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.Quantitative Analysis of Voice in Parkinson Disease Compared to Motor Performance: A Pilot Study.Detecting Parkinson's disease from sustained phonation and speech signals.Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation.Regularization in finite mixture of regression models with diverging number of parameters.A software framework for building biomedical machine learning classifiers through grid computing resources.Evaluation of speech impairment in early stages of Parkinson's disease: a prospective study with the role of pharmacotherapy.Towards the identification of Idiopathic Parkinson's Disease from the speech. New articulatory kinetic biomarkers.Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.Evolutionary Wavelet Neural Network ensembles for breast cancer and Parkinson's disease prediction.

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P2860

Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

http://www.wikidata.org/entity/Q30476459

description

2009 nî lūn-bûn

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2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2009 թվականի ապրիլին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年论文

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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TBME.2008.2005954

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IEEE Transactions on Biomedical Engineering

P1476

Suitability of dysphonia measurements for telemonitoring of Parkinson's disease.

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P2093

Jennifer Spielman

http://www.w3.org/2001/XMLSchema#string

Lorraine O Ramig

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Max A Little

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Patrick E McSharry

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P2860

Parkinsonism: onset, progression and mortality

Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection

A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques

Parkinson's disease. First of two parts

Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity.

Effects of intensive voice treatment (the Lee Silverman Voice Treatment [LSVT]) on vowel articulation in dysarthric individuals with idiopathic Parkinson disease: acoustic and perceptual findings.

Chaos in voice, from modeling to measurement.

Advances in the treatment of Parkinson's disease.

A nonlinear operator-based speech feature analysis method with application to vocal fold pathology assessment.

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Parkinson's disease

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