Modeling the thermal environment in an operating room

Comfort is important in everybody's lives, as it is not only a health subject, but also a productive issue. As environmental conditions differ accordingly to the space use, there is a direct influence of this space on human comfort. The Heating Ventilation and Air Conditioning (HVAC) Systems are a crucial way to obtain the expected air quality levels in the interior of buildings and to achieve thermal comfort. These systems ensure air renewal, pressurization, temperature control, and air humidity, being of utmost importance in healthcare facilities. Providing thermal comfort conditions and good air quality, especially in operating rooms, is a difficult task, as the environmental conditions should be suitable for medical staff performance and for patient safety, as well. In the current study, a Computational Fluid Dynamics model was developed and coupled with a thermoregulatory model of the human body to describe the fluid flow, heat transfer and mass transfer between the ventilation air and a human manikin inside an operating room. The CFD simulation solves the heat, mass and momentum conservation equations in the computation domain using a finite volume discretization method, in the ANSYS - environment. The interaction between the body and the environment is determined by the thermoregulatory model, which includes temperature and the moisture diffusion through the cloth fabrics. The combination of the human body and space ventilation models allows evaluating the influence of the main thermal comfort variables on the calculation of comfort index, such as, the PMV

Gait profile score and movement analysis profile in patients with Parkinson's disease during concurrent cognitive load

Background: Gait disorders are common in individuals with Parkinson's Disease (PD) and the concurrent performance of motor and cognitive tasks can have marked effects on gait. The Gait Profile Score (GPS) and the Movement Analysis Profile (MAP) were developed in order to summarize the data of kinematics and facilitate understanding of the results of gait analysis. Objective: To investigate the effectiveness of the GPS and MAP in the quantification of changes in gait during a concurrent cognitive load while walking in adults with and without PD. Method: Fourteen patients with idiopathic PD and nine healthy subjects participated in the study. All subjects performed single and dual walking tasks. The GPS/MAP was computed from three-dimensional gait analysis data. Results: Differences were found between tasks for GPS (P<0.05) and Gait Variable Score (GVS) (pelvic rotation, knee flexion-extension and ankle dorsiflexion-plantarflexion) (P<0.05) in the PD group. An interaction between task and group was observed for GPS (P<0.01) for the right side (Cohen's d=0.99), left side (Cohen's d=0.91), and overall (Cohen's d=0.88). No interaction was observed only for hip internal-external rotation and foot internal-external progression GVS variables in the PD group. Conclusions: The results showed gait impairment during the dual task and suggest that GPS/MAP may be used to evaluate the effects of concurrent cognitive load while walking in patients with PD

Chondroitin sulfates and their binding molecules in the central nervous system

Chondroitin sulfate (CS) is the most abundant glycosaminoglycan (GAG) in the central nervous system (CNS) matrix. Its sulfation and epimerization patterns give rise to different forms of CS, which enables it to interact specifically and with a significant affinity with various signalling molecules in the matrix including growth factors, receptors and guidance molecules. These interactions control numerous biological and pathological processes, during development and in adulthood. In this review, we describe the specific interactions of different families of proteins involved in various physiological and cognitive mechanisms with CSs in CNS matrix. A better understanding of these interactions could promote a development of inhibitors to treat neurodegenerative diseases