ArticleIEEE access : practical innovations, open solutions2021
Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network.
Article in IEEE access : practical innovations, open solutions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- xHD-Vox, an Automated Speech Model for Estimating Motor and Cognitive Scores in Huntington Disease: Development and Longitudinal Validation.JMIR neurotechnology · 2026Article
- Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease.Movement disorders clinical practice · 2026Review
- Modernizing the Staging of Parkinson Disease Using Digital Health Technology.Journal of medical Internet research · 2025Article
- Speech and language biomarkers for Parkinson's disease prediction, early diagnosis and progression.NPJ Parkinson's disease · 2025Review
- An AIoT-Based Home Monitoring System for Arteriovenous Fistula Surveillance in Hemodialysis Patients: Development, Evaluation, and Clinical Potential.Journal of multidisciplinary healthcare · 2025Article
- Deep Learning for Parkinson's Disease Diagnosis: A Graph Neural Network (GNN) Based Classification Approach with Graph Wavelet Transform (GWT) Using Protein-Peptide Datasets.Diagnostics (Basel, Switzerland) · 2024Article
- Artificial intelligence analysis of videos to augment clinical assessment: an overview.Neural regeneration research · 2024Article
- Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease.Heliyon · 2023Article
- MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds.Medical & biological engineering & computing · 2023Article
- New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables.Sensors (Basel, Switzerland) · 2023Article
- Ataxic speech disorders and Parkinson's disease diagnostics via stochastic embedding of empirical mode decomposition.PloS one · 2023Article
- Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool.Patterns (New York, N.Y.) · 2022Article
- Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study.Journal of medical Internet research · 2021Observational
- Assessing Parkinson's Disease at Scale Using Telephone-Recorded Speech: Insights from the Parkinson's Voice Initiative.Diagnostics (Basel, Switzerland) · 2021Article
- A Neuromotor to Acoustical Jaw-Tongue Projection Model With Application in Parkinson's Disease Hypokinetic Dysarthria.Frontiers in human neuroscience · 2021Article
- Adaptive Multi-Rate Compression Effects on Vowel Analysis.Frontiers in bioengineering and biotechnology · 2015Article
- Analytical Validation of a Webcam-Based Assessment of Speech Kinematics: Digital Biomarker Evaluation following the V3 Framework.Digital biomarkersArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Telemonitoring of Parkinson's Disease (PD) has attracted considerable research interest because of its potential to make a lasting, positive impact on the life of patients and their carers. Purpose-built devices have been developed that record various signals which can be associated with average PD symptom severity, as quantified on standard clinical metrics such as the Unified Parkinson's Disease Rating Scale (UPDRS). Speech signals are particularly promising in this regard, because they can be easily recorded without the use of expensive, dedicated hardware. Previous studies have demonstrated replication of UPDRS to within less than 2 points of a clinical raters' assessment of symptom severity, using high-quality speech signals collected using dedicated telemonitoring hardware. Here, we investigate the potential of using the standard voice-over-GSM (2G) or UMTS (3G) cellular mobile telephone networks for PD telemonitoring, networks that, together, have greater than 5 billion subscribers worldwide. We test the robustness of this approach using a simulated noisy mobile communication network over which speech signals are transmitted, and approximately 6000 recordings from 42 PD subjects. We show that UPDRS can be estimated to within less than 3.5 points difference from the clinical raters' assessment, which is clinically useful given that the inter-rater variability for UPDRS can be as high as 4-5 UPDRS points. This provides compelling evidence that the existing voice telephone network has potential towards facilitating inexpensive, mass-scale PD symptom telemonitoring applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.