Giorgia Vessella
Gait Analysis of Patients Affected by Parkinson’s Disease using Inertial Sensors.
Rel. Gabriella Olmo, Luigi Borzi'. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2023
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
Parkinson's disease is a chronic irreversible disease that worsens over time, the clinical picture is extremely complex and varied. In fact, the diagnosis of the disease is not based on diagnostic tests but consists of a clinical investigation that analyses the patient's symptoms and medical history. The motor symptoms are considered the element most characteristic of Parkinson’s disease, these include, gait disorder, bradykinesia, tremor, rigidity and in additional freezing, postural deformation and instability. Several rating scales are used to diagnose the disorder. Currently there are pharmacological and surgical treatments that are used to mitigate the effects of this disease. Gait is a relevant clinical evaluation tool because changes in gait affect the total health of the patient.
Measurement has always been a difficult process done only in a clinical setting by a specialist largely through subjective testing
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
