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Tapping Test and the Archimedean Spiral for the Differential Diagnosis of Tremor. Machine Learning Approach — MATSEP  

Parkinson Disease Clinical Trial

Official title:
Machine Learning Analysis Of The Tapping Test And The Archimedean Spiral For The Differential Diagnosis Of Essential Tremor And Parkinson's Disease.

Clinical Trial Summary

In clinical practice, it is sometimes difficult to establish whether a patient's tremor is due to Parkinson's disease or essential tremor. The distinction is crucial as the health implications differ significantly between the two conditions. Therefore, the present study aims to develop a diagnostic method based on machine learning techniques to help differentiate whether a patient's tremor is due to one condition or the other. To achieve this, 110 patients with tremor, correctly diagnosed with either Parkinson's disease or essential tremor, will participate. They will undergo two diagnostic tests (tapping test and Archimedean spiral) to capture data that can be processed using machine learning techniques.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06378619
Study type Observational
Source Consorci Sanitari de l'Alt Penedès i Garraf
Contact José Luis Camacho, MD
Phone +34 938960025
Email jlcamacho@csapg.cat
Status Not yet recruiting
Phase
Start date May 2024
Completion date June 2025
View Details
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