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Remote Assessment of Parkinson’s Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network

https://doi.org/10.1109/access.2021.3050524

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity

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Turbo Coding, Turbo Equalisation and Space‐Time Coding

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Systematic evaluation of rating scales for impairment and disability in Parkinson's disease

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Unified Parkinson's disease rating scale motor examination: Are ratings of nurses, residents in neurology, and movement disorders specialists interchangeable?

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Testing objective measures of motor impairment in early Parkinson's disease: Feasibility study of an at‐home testing device

inferredcites →https://doi.org/10.1002/mds.22430openalex-snapshot

Progression of dysprosody in Parkinson's disease over time—A longitudinal study

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Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial

inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

inferredcites →https://doi.org/10.1007/978-1-4757-5065-2_13openalex-snapshot

Digital communications

inferredcites →https://doi.org/10.1007/978-3-319-57111-9_1836openalex-snapshot

Unified Parkinson’s Disease Rating Scale

inferredcites →https://doi.org/10.1007/978-3-540-35488-8openalex-snapshot

Feature Extraction

inferredcites →https://doi.org/10.1007/s12559-018-9575-8openalex-snapshot

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease

inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50037-1openalex-snapshot

A Practical Approach to Feature Selection

inferredcites →https://doi.org/10.1016/j.bandc.2004.05.002openalex-snapshot

Variability in fundamental frequency during speech in prodromal and incipient Parkinson's disease: A longitudinal case study

inferredcites →https://doi.org/10.1016/j.bspc.2019.04.029openalex-snapshot

Characterization of Parkinson’s disease dysarthria in terms of speech articulation kinematics

inferredcites →https://doi.org/10.1016/j.csl.2013.12.001openalex-snapshot

Fully automated assessment of the severity of Parkinson's disease from speech

inferredcites →https://doi.org/10.1016/j.csl.2019.101047openalex-snapshot

Assessing Parkinson's disease severity using speech analysis in non-native speakers

inferredcites →https://doi.org/10.1016/j.enbuild.2012.03.003openalex-snapshot

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

inferredcites →https://doi.org/10.1016/j.euroneuro.2005.04.007openalex-snapshot

Prevalence and incidence of Parkinson's disease in Europe

inferredcites →https://doi.org/10.1016/j.neucom.2008.04.056openalex-snapshot

Time-frequency representations in speech perception

inferredcites →https://doi.org/10.1016/j.neucom.2016.06.092openalex-snapshot

Parkinson's disease monitoring by biomechanical instability of phonation

inferredcites →https://doi.org/10.1016/j.parkreldis.2012.01.011openalex-snapshot

Statistical analysis and mapping of the unified Parkinson’s Disease rating scale to Hoehn and Yahr staging

inferredcites →https://doi.org/10.1016/j.pneurobio.2006.11.009openalex-snapshot

Advances in the treatment of Parkinson's disease

inferredcites →https://doi.org/10.1016/s0140-6736(09)60492-xopenalex-snapshot

Parkinson's disease

inferredcites →https://doi.org/10.1016/s1474-4422(09)70291-1openalex-snapshot

Progression of Parkinson's disease in the clinical phase: potential markers

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1038/sdata.2016.11openalex-snapshot

The mPower study, Parkinson disease mobile data collected using ResearchKit

inferredcites →https://doi.org/10.1080/03601270151075561openalex-snapshot

EFFECTS OF AGING ON SELECTED ACOUSTIC VOICE PARAMETERS: PRELIMINARY NORMATIVE DATA AND EDUCATIONAL IMPLICATIONS

inferredcites →https://doi.org/10.1080/136828200410654openalex-snapshot

Voice characteristics in the progression of Parkinson's disease

inferredcites →https://doi.org/10.1093/gigascience/gix019openalex-snapshot

The need to approximate the use-case in clinical machine learning

inferredcites →https://doi.org/10.1093/gigascience/gix020openalex-snapshot

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

inferredcites →https://doi.org/10.1098/rsif.2010.0456openalex-snapshot

Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity

inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

inferredcites →https://doi.org/10.1109/embc.2019.8856559openalex-snapshot

New insights into Parkinson’s disease through statistical analysis of standard clinical scales quantifying symptom severity

inferredcites →https://doi.org/10.1109/icassp.2010.5495554openalex-snapshot

Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression

inferredcites →https://doi.org/10.1109/tbme.2005.869776openalex-snapshot

Telephony-Based Voice Pathology Assessment Using Automated Speech Analysis

inferredcites →https://doi.org/10.1109/tbme.2006.871883openalex-snapshot

Dimensionality Reduction of a Pathological Voice Quality Assessment System Based on Gaussian Mixture Models and Short-Term Cepstral Parameters

inferredcites →https://doi.org/10.1109/tbme.2008.2005954openalex-snapshot

Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

inferredcites →https://doi.org/10.1109/tbme.2008.923769openalex-snapshot

Effects of Audio Compression in Automatic Detection of Voice Pathologies

inferredcites →https://doi.org/10.1109/tbme.2009.2036000openalex-snapshot

Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests

inferredcites →https://doi.org/10.1109/tbme.2012.2183367openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tcomm.2002.1006557openalex-snapshot

Turbo equalization: principles and new results

inferredcites →https://doi.org/10.1109/tkde.2008.239openalex-snapshot

Learning from Imbalanced Data

inferredcites →https://doi.org/10.1109/tnsre.2012.2236577openalex-snapshot

Quantification of Motor Impairment in Parkinson's Disease Using an Instrumented Timed Up and Go Test

inferredcites →https://doi.org/10.1109/tnsre.2013.2282080openalex-snapshot

Accurate and Reliable Gait Cycle Detection in Parkinson's Disease

inferredcites →https://doi.org/10.1109/tnsre.2013.2293575openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot

Book Review: Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1121/1.3514381openalex-snapshot

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

inferredcites →https://doi.org/10.1121/1.4939739openalex-snapshot

Automatic detection of Parkinson's disease in running speech spoken in three different languages

inferredcites →https://doi.org/10.1121/1.4980138openalex-snapshot

Speech production and sensory impairment in mild Parkinson's disease

inferredcites →https://doi.org/10.1121/1.5100272openalex-snapshot

Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice

inferredcites →https://doi.org/10.1136/jnnp.2008.159699openalex-snapshot

Segmental progression of early untreated Parkinson's disease: a novel approach to clinical rating

inferredcites →https://doi.org/10.1136/jnnp.73.5.529openalex-snapshot

How valid is the clinical diagnosis of Parkinson's disease in the community?

inferredcites →https://doi.org/10.1155/1999/327643openalex-snapshot

Speech Impairment in a Large Sample of Patients with Parkinson’s Disease

inferredcites →https://doi.org/10.1155/wcn/2006/25686openalex-snapshot

Low Complexity Turbo Equalization for High Data Rate Wireless Communications

inferredcites →https://doi.org/10.1186/1475-925x-6-23openalex-snapshot

Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

inferredcites →https://doi.org/10.1198/jasa.2008.s236openalex-snapshot

Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1212/wnl.0b013e3181a1d44copenalex-snapshot

The scientific and clinical basis for the treatment of Parkinson disease (2009)

inferredcites →https://doi.org/10.1371/journal.pone.0189161openalex-snapshot

Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease

inferredcites →https://doi.org/10.1371/journal.pone.0189583openalex-snapshot

Towards the identification of Idiopathic Parkinson’s Disease from the speech. New articulatory kinetic biomarkers

inferredcites →https://doi.org/10.1400/171550openalex-snapshot

Robust Parsimonious Selection of Dysphonia Measures for Telemonitoring of Parkinson's Disease Symptom Severity

inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot

SMOTE: Synthetic Minority Over-sampling Technique

inferredcites →https://doi.org/10.2196/12286openalex-snapshot

Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature

inferredcites →https://doi.org/10.3109/14015439.2011.607470openalex-snapshot

Automatic intelligibility assessment of pathologic speech over the telephone

inferredcites →https://doi.org/10.3233/jpd-181389openalex-snapshot

Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease

inferredcites →https://doi.org/10.3233/jpd-191798openalex-snapshot

Longitudinal Speech Change After Subthalamic Nucleus Deep Brain Stimulation in Parkinson’s Disease Patients: A 2-Year Prospective Study

inferredcites →https://doi.org/10.5287/ora-w4ky0ynweopenalex-snapshot

Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Stochastic Embedding of Empirical Mode Decomposition with Application in Parkinson's Disease Speech Diagnostics

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Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease

inferred← citeshttps://doi.org/10.1007/978-3-031-66336-9_42openalex-snapshot

Predictive Models in the Diagnosis of Parkinson’s Disease Through Voice Analysis

inferred← citeshttps://doi.org/10.1007/978-3-032-07083-8_3openalex-snapshot

A Survey of Open Voice and Speech Datasets for the Screening and Evaluation of Parkinson’s Disease

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MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds

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Remote assessment of Parkinson’s disease symptom severity based on group interaction feature assistance

inferred← citeshttps://doi.org/10.1007/s13278-022-00905-9openalex-snapshot

Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach

inferred← citeshttps://doi.org/10.1007/s42979-022-01123-yopenalex-snapshot

Data-Driven Subtyping of Parkinson’s Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson’s Voice Initiative Study

inferred← citeshttps://doi.org/10.1016/j.artmed.2024.102810openalex-snapshot

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Progress prediction of Parkinson's disease based on graph wavelet transform and attention weighted random forest

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Remote Parkinson's disease severity prediction based on causal game feature selection

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Enhancing noise robustness of automatic Parkinson’s disease detection in diadochokinesis tests using multicondition training

inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21175openalex-snapshot

Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease

inferred← citeshttps://doi.org/10.1016/j.jvoice.2022.08.027openalex-snapshot

Voice Quality in Telephone Interviews: A preliminary Acoustic Investigation

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