1. Remote Assessment of Parkinson’s Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network
- Author
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Lorraine O. Ramig, Max A. Little, and Athanasios Tsanas
- Subjects
Signal processing ,Telemedicine ,medicine.medical_specialty ,Parkinson's disease ,Decision support tool ,General Computer Science ,Computer science ,Biomedical Engineering ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Rating scale ,Robustness (computer science) ,medicine ,General Materials Science ,Telephony ,Electrical and Electronic Engineering ,030304 developmental biology ,0303 health sciences ,Telephone network ,business.industry ,General Engineering ,Symptom severity ,medicine.disease ,Replication (computing) ,nonlinear speech signal processing ,Parkinson’s disease ,telemedicine ,business ,030217 neurology & neurosurgery - 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 withinless 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 PDsymptom telemonitoring applications.
- Published
- 2021
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