Stabilometric Analysis of Parkinson's Disease Patients.

Parkinson's disease (PD) is considered a movement disease; it is a progressive and degenerative neurological disorder, causing disabling motor dysfunctions. Investigate the body instability of PD patients through the stabilometry test is the aim of this study. A sample of 40 participants with PD were staged between the stages of the disease using Hoehn and Yahr Modified Scale 1.5 to 3.0 in static posture with eyes open and closed to assess stabilometry in the distance from the center of pressure (CoP), as well as anteroposterior (AP) and mediolateral axis (ML). There were found no differences in the body oscillation variables on the AP and ML axis. There was a difference in CoP displacement and oscillation speed between stage 1.5 to 3.0. It was concluded that participants with PD in stage 3.0 had greater distances from the CoP and greater speed of body sway, and that these instabilities become more evident with the progression of the disease.

Development of Software for Obtaining Image Attributes for Evaluation of the Wound Healing Process.

The biological process of wound healing is one of the most complex occurrences during our lives turning a serious public health problem. The rate of healing chronic wounds in humans is relatively uniform, regardless of etiologies, and is estimated to be 0.63-0.65 mm/week for diabetics and non- diabetics [1], respectively, being visually unnoticeable throughout the daily care of a wound. A ruler designed for this purpose using a decal for setting the wound limits, however an area with a lot of irregularity requires a tool that carries out this measurement autonomously through image recognition, making the process feasible for the medical teams responsible for the treatment. The digitized images undergo morphological processes sing on the polygonal line that delimits the wound region. With the region delimited by the polygonal, the area and the perimeter are determined. A comparison with analytical methods demonstrates that this tool has the potential to become gold standard for estimating to estimate the area and the perimeter of wounds in the healing process.

[Evaluation of intestinal viability on a simulation model of a small ileus based on determination of dielectric parameters].

Interrelationship between dielectric parameters and level of ATPH before and during ischemia, as well as with indices of survival after elimination of strangulation, was estimated on a simulation model of strangulation ileus in rats. The data obtained permit to suppose, that parameter tg δm may be used as effective noninvasive criterion of diagnosis in real time for estimation of the intestinal wall state in strangulation. Resection of the infringed intestine without elimination of strangulation is necessary in tg δm less than 2.20, in tg δm more than 2.36 the elimination of infringement is indicated, because there exist possibility to restore intestinal function after ischemic-reperfusion injury. Tactics of treatment in intermediate meanings of tg δm is not determined, but its measurement before reperfusion may help in estimation of a small intestine viability and choice of surgical tactics in its ischemia.

Biophotogrammetry model of respiratory motion analysis applied to children.

This study aimed to test a protocol of measurements based on Biophotogrammetry to Analysis of Respiratory Mechanics (BARM) in healthy children. Seventeen normal spirometric children (six male and 11 female) were tested. Their performed maneuvers of forced inspiratory vital capacity were recorded in the supine position. The images were acquired by a digital camera, laterally placed to the trunk. Surface markers allowed that the files, exported to CorelDraw® software, were processed by irregular trapezoids paths. Compartments were defined in the thoracic (TX), abdominal (AB) and the chest wall (CW). They were defined at the end of an inspiration and expiration, both maximum, controlled by a digital spirometer. The result showed that the measured areas at the inspiratory and expiratory periods were statistically different (p<0.05). It reflects the mobility of CW and compartments. In conclusion, the proposed method can identify the breathing pattern of the measured subject using images in two dimensions (2D).