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

Recruiting now

Conditions studied: Tremor, Essential Tremor, Parkinson Disease

In brief

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.

Key facts

Study ID
NCT06378619
Run by
Consorci Sanitari de l'Alt Penedès i Garraf
People needed
110
Starts
2024-07-15
Expected to finish
2026-07-01
Last updated by the study team
2025-06-26

Who can join

Age: 45 and older, up to 79. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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