Suchergebnisse

La Asamblea de parlamentarios se gestó en la primavera de 1917, precipitada la situación por la caída de Romanones y el cierre del Parlamento. Sin embargo, si bien el planteamiento de los partidos no dinásticos era la democratización del régimen

Nafiseh Mollaei,1 Estela Bicho,1 Nuno Sousa,2,3 Miguel Fernandes Gago2–4 1Centro Algoritmi, Campus Azurem, University of Minho, Guimarães, 2Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, 3ICVS- 3B's-PT Government Associate Laboratory, Braga, 4Neurology Department, Hospital da Senhora da Oliveira, Guimarães, Portugal Abstract: Imbalance and tripping over obstacles as a result of altered gait in older adults, especially in patients with Parkinson's disease (PD), are one of the most common causes of falls. During obstacle crossing, patients with PD modify their behavior in order to decrease the mechanical demands and enhance dynamic stability. Various descriptions of dynamic traits of gait that have been collected over longer periods, probably better synthesize the underlying structure and pattern of fluctuations in gait and can be more sensitive markers of aging or early neurological dysfunction and increased risk of falls. This confirmation challenges the clinimetric of different protocols and paradigms used for gait analysis up till now, in particular when analyzing obstacle crossing. The authors here present a critical review of current knowledge concerning the interplay between the cognition and gait in aging and PD, emphasizing the differences in gait behavior and adaptability while walking over different and challenging obstacle paradigms, and the implications of obstacle negotiation as a predictor of falls. Some evidence concerning the effectiveness of future rehabilitation protocols on reviving obstacle crossing behavior by trial and error relearning, taking advantage of dual-task paradigms, physical exercise, and virtual reality have been put forward in this article. Keywords: gait, obstacle crossing, cognition, behavior, Parkinson's disease, aging, falls

Resting tremor in Parkinson's disease (PD) is one of the most distinctive motor symptoms. Appropriate symptom monitoring can help to improve management and medical treatments and improve the patients' quality of life. Currently, tremor is evaluated by physical examinations during clinical appointments; however, this method could be subjective and does not represent the full spectrum of the symptom in the patients' daily lives. In recent years, sensor-based systems have been used to obtain objective information about the disease. However, most of these systems require the use of multiple devices, which makes it difficult to use them in an ambulatory setting. This paper presents a novel approach to evaluate the amplitude and constancy of resting tremor using triaxial accelerometers from consumer smartwatches and multitask classification models. These approaches are used to develop a system for an automated and accurate symptom assessment without interfering with the patients' daily lives. Results show a high agreement between the amplitude and constancy measurements obtained from the smartwatch in comparison with those obtained in a clinical assessment. This indicates that consumer smartwatches in combination with multitask convolutional neural networks are suitable for providing accurate and relevant information about tremor in patients in the early stages of the disease, which can contribute to the improvement of PD clinical evaluation, early detection of the disease, and continuous monitoring. ; This research was funded by the following projects: (1) "Tecnologias Capacitadoras para la Asistencia, Seguimiento y Rehabilitacion de Pacientes con Enfermedad de Parkinson". Centro Internacional sobre el envejecimiento, CENIE (codigo 0348_CIE_6_E) Interreg V-A Espana-Portugal (POCTEP). (2) Ecuadorian Government Granth "Becas internacionales de posgrado 2019" of the Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion (SENESCYT), received by the author Luis Sigcha.