Aplicación de las Máquinas de Soporte Vectorial (SVM) al diagnóstico clínico de la Enfermedad de Párkinson y el Temblor Esencial

Parkinson's Disease (PD) and Essential Tremor (ET) patients represent a significant percentage of the clinical cases in movement disorders pathologies, which prevents to the affected people leading a normal life. A physical disability results and important social exclusion in many cases are produced. The treatment methods are very differents, so it is critical hitting with the diagnosis in the early stages of these diseases. Until today, professionals and experts in medicine, use qualitative scales to differentiate pathology cases and its level of affectation. These scales are used to follow up clinically and register the patient's history. This work proposes the use of binary classifiers focused on the Vector Support Machines (SVM) to obtain a differential diagnosis between the essential tremor and Parkinson's disease.