Avancerad sökning
Visar resultat 41 - 45 av 134 uppsatser som matchar ovanstående sökkriterier.
41. The positive effect of exercise on mood, as a non-motor symptom, in Parkinson's disease
Kandidat-uppsats, Uppsala universitet/Institutionen för organismbiologi; Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Parkinson’s Disease is a degenerative neurological disease where dopaminergic neurons in the basal ganglia degenerate and die. This leads to dopamine deficiency in the basal ganglia, affecting both motor and non-motor systems, giving both motor and non-motor symptoms. LÄS MER
42. Non-motor symptoms and their use as markers for prodromal and early Parkinson's disease
Kandidat-uppsats, Uppsala universitet/Institutionen för organismbiologi; Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Parkinson’s Disease (PD) is the second most common neurodegenerative disorder. It is a disease with a broad spectrum of symptoms, both motor and non-motor, but is often only diagnosed when the motor symptoms begin to appear. LÄS MER
43. Sex-differences in reported adverse side-effects caused by Deep Brain Stimulation therapy in the subthalamic nucleus
Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Parkinson’s disease is a common neurological disease which will progressively damagedopaminergic neurons in the brain. Later stages of the disease will result in death of theneurons. The diagnosis is often made with respect to the motor symptoms, which includetremors, bradykinesia, and rigidity. LÄS MER
44. Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Parkinson’s disease is a brain disorder associated with reduced dopamine levels in the brain, affecting cognition and motor control in the human brain. One of the motor controls that can be affected is eye movements and can therefore be critically affected in patients with Parkinson’s disease. LÄS MER
45. Impact of using different brain layer amounts on the accuracy of Convolutional Neural networks trained on MR-Images to identify Parkinson's Disease
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Parkinson’s Disease (PD) is a neurodegenerative disease and brain disorder which affects the motor system and leads to shaking, stiffness, impaired balance and coordination. Diagnosing PD from Magnetic resonance images (MR-images) is difficult and often not possible for medical experts and therefore Convolutional neural networks (CNNs) are used instead. LÄS MER