Browsing by Author "Xavier, Daniela Borges"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Speech and voice assessment in Parkinson’s diseasePublication . Xavier, Daniela Borges; Felizardo, Virginie dos SantosParkinson’s disease is a neurodegenerative disease that affects the patient’s motor coordination. It is characterized by the presence of symptoms such as tremor, body rigidity, difficulty walking, fatigue, and speech difficulties, and mental symptoms such as depression and/or anxiety may also be observed. Speech problems, or dysarthria, related to the weakening of the muscles responsible for speech, are present in around 90% of patients diagnosed with the disease. The diagnosis of the disease, which is based on the patient’s symptoms, is often made late, something that may influence future control of the disease’s symptoms. Therefore, an approach is proposed for the diagnosis and prognosis of Parkinson’s disease using machine learning techniques through the assessment of features of the patient’s voice and speech, features found in the literature, such as entropy, fractal dimension, phonation, prosody, and glottal. With this approach, a recording of the patient’s voice will be analyzed and the characteristics present in the voice will be extracted and selected and, using machine learning techniques, classified. In the case of diagnosis, a distinction will be made between whether or not the patient has the disease and, in the case of prognosis, the level of the disease will be identified.