Machine Learning Analysis Of The Tapping Test And The Archimedean Spiral For The Differential Diagnosis Of Essential Tremor And Parkinson's Disease.
Machine Learning Analysis Of The Tapping Test And The Archimedean Spiral For The Differential Diagnosis Of Essential Tremor And Parkinson's Disease.
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.
Inclusion Criteria:
Group 1:
Group 2:
Exclusion Criteria:
Alcoholism of sufficient intensity to influence handwriting or cause neuropathy, at the investigator's discretion. Peripheral neuropathy of any cause. Dystonias. Previous stroke.
jlcamacho@csapg.cat+34 938960025
recerca@csapg.cat+34 938960025 ext. 43197