CORRELATION BETWEEN FUNCTIONAL CLASSIFICATION AND KINEMATICAL VARIABLES IN ELITE WHEELCHAIR RUGBY PLAYERS

Wheelchair rugby is a Paralympic team sport for athletes with disabilities affecting the four limbs. Players are classified according to their functional level from 0.5 (lowest function) to 3.5 (highest function). A player’s classification is based on muscle tests designed to evaluate the strength and range of motion of the upper limbs and trunk and also includes observation of the athlete on court (IWRF, 2008). Although the sport class is based on movement potential associated with neuromuscular function and performance of tasks related to the sport, it is not well known how functional classification in rugby correlates with variables strongly related to performance such as distance covered. In a previous investigation (Sarro et al., 2010), kinematical variables were analyzed in an international rugby competition and suggested a relation between functional classification and distance covered during the game. To further examine this relationship, this project aimed to investigate the correlation between functional classification and player physical performance as measured by distance covered during a game. In addition, the correlation was examined for each game quarter and as a function of velocity range

CORRELATION BETWEEN FUNCTIONAL CLASSIFICATION AND KINEMATICAL VARIABLES IN ELITE WHEELCHAIR RUGBY PLAYERS

Wheelchair rugby is a Paralympic team sport for athletes with disabilities affecting the four limbs. Players are classified according to their functional level from 0.5 (lowest function) to 3.5 (highest function). A player’s classification is based on muscle tests designed to evaluate the strength and range of motion of the upper limbs and trunk and also includes observation of the athlete on court (IWRF, 2008). Although the sport class is based on movement potential associated with neuromuscular function and performance of tasks related to the sport, it is not well known how functional classification in rugby correlates with variables strongly related to performance such as distance covered. In a previous investigation (Sarro et al., 2010), kinematical variables were analyzed in an international rugby competition and suggested a relation between functional classification and distance covered during the game. To further examine this relationship, this project aimed to investigate the correlation between functional classification and player physical performance as measured by distance covered during a game. In addition, the correlation was examined for each game quarter and as a function of velocity range

COVERED DISTANCES OF HANDBALL PLAYERS OBTAINED BY AN AUTOMATIC TRACKING METHOD

The aim of this work is to obtain the distances covered by handball players and their velocities during a match using a new approach based on automatic tracking method described in Figueroa et. al. (2006a, 2006b) and the Adaboost detector (Okuma, 2004). A whole game of a Brazilian regional handball championship for players under age of 21 was recorded. Applying the mentioned automatic tracking, the accumulated covered distances and the velocities were calculated for all the players. The results of average covered distances (±SD) in the 1st and 2 nd halves were 2199(±230) and 2453(±214). The results of covered distances and the velocities allow individual and collective analyses of the players by the team staff. The proposed method revealed to be a powerful tool to improve physical analysis of the handball players

Measuring Handball Players Trajectories Using An Automatically Trained Boosting Algorithm.

The aim of the present paper is to propose and evaluate an automatically trained cascaded boosting detector algorithm based on morphological segmentation for tracking handball players. The proposed method was able to detect correctly 84% of players when applied to the second period of that same game used for training and 74% when applied to a different game. Furthermore, the analysis of the automatic training using boosting detector revealed general results such as the training time initially increased with the number of figures used, but as more figures were added, the training time decreased. Automatic morphological segmentation has shown to be a fast and efficient method for selecting image regions for the boosting detector and allowed an improvement in the automatic tracking of handball players.1453-6

Severe intestinal bleeding due to sinistral portal hypertension after pylorus-preserving pancreatoduodenectomy

A rare case of severe intestinal bleeding caused by sinistral portal hypertension after pylorus-preserving pancreatoduodenectomy is reported. Examinations revealed that the developed collateral vessels adjacent to the pancreas and elevated jejunum in the right upper abdomen were the source of the intestinal bleeding, and typical gastric varices were not identified. The present case showed atypical development of collateral vessels due to the postoperative state, which made diagnosis difficult. © Springer Science+Business Media, LLC 2009