Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson's Disease.

Introduction: The assessments of the motor symptoms in Parkinson's disease (PD) are usually limited to clinical rating scales (MDS UPDRS III), and it depends on the clinician's experience. This study aims to propose a machine learning technique algorithm using the variables from upper and lower limbs, to classify people with PD from healthy people, using data from a portable low-cost device (RGB-D camera). And can be used to support the diagnosis and follow-up of patients in developing countries and remote areas.

Parkinson's disease prevalence, age distribution and staging in Colombia.

Parkinson's disease (PD) has the second highest prevalence among neurodege - nerative diseases. In Colombia, PD population dynamics are currently unknown. Health records offer a unique resource to study frequency and multi-morbidity of chronic diseases.

Cryptococcal meningitis presenting as acute flaccid paralysis: A case report.

Cryptococcus is a cosmopolitan fungus with tropism for the nervous system and a higher prevalence of infection in immunosuppressed patients. Neurological compromise caused by this microorganism mainly debuts as a meningeal syndrome (headache, fever, neck stiffness) with predominant encephalic involvement. In this report we present the rare case of a non-HIV patient with flaccid paralysis and peripheral nerve involvement due to crytpococcal meningitis.

Age Matters: Objective Gait Assessment in Early Parkinson's Disease Using an RGB-D Camera.

Background: Gait alterations are hallmarks for the diagnosis and follow-up of patients with Parkinson's disease (PD). In normal conditions, age could affect gait dynamics. Although it is known that objective assessment of gait is a valuable tool for diagnosis and follow-up of patients with PD, only few studies evaluate the effect of aging on the gait pattern of patients with PD.