6378619
Last Update Posted: 2024-07-24
Recruiting
All Genders accepted | 45 Years-79 Years |
110 Estimated Participants | No Expanded Access |
Observational Study | Does not accept healthy volunteers |
Tapping Test and the Archimedean Spiral for the Differential Diagnosis of Tremor. Machine Learning Approach
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.
Eligibility
Relevant conditions:
Tremor
Essential Tremor
Parkinson Disease
If you aren't sure if you meet the criteria above speak to your healthcare professional. Criteria may be updated but not reflected here, do not hesitate to contact the trial if you think are close to fitting criteria.
Inclusion criteria
Exclusion criteria
locations
Data sourced from ClinicalTrials.gov