Wheelchair Racquetball: A Preliminary Time Motion Analysis

1990 ◽  
Vol 7 (4) ◽  
pp. 370-384
Author(s):  
Colin Higgs
Keyword(s):  
Motion Analysis ◽  
Time Motion ◽  
The Right

Wheelchair racquetball players in the A and B divisions of the 1989 Canadian Racquetball Championships were videotaped and their performances were analyzed. The results indicated that the athletes had an exercise-to-pause ratio of 1:1.5 at the A level and 1:2.3 at the B level. Rallies were slightly longer at the higher level, with substantially longer pause periods at the B level. There was a higher percentage of longer rallies at the A level, although both divisions of play had comparable percentages of forehand and backhand shots. A-level players demonstrated greater distances covered per rally, greater wheelchair speed, and a higher degree of wheelchair maneuverability measured by the number and magnitude of directional changes. In particular, A-level players showed a greater tendency to use small directional corrections, particularly turns to the right of less than 45 °. It is suggested that this action allowed a less restricted backswing for powerful forehand shots.

scholarly journals A Time-Motion Analysis of the Cross-Over Step Block Technique in Volleyball: Non-Linear and Asymmetric Performances

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1027
Author(s):  
Elena Hernández-Hernández ◽  
Antonio Montalvo-Espinosa ◽  
Antonio García-de-Alcaraz
Keyword(s):  
Motion Analysis ◽  
Kinematic Analysis ◽  
Movement Time ◽  
Movement Direction ◽  
Specific Knowledge ◽  
Time Motion ◽  
Displacement Direction ◽  
The Cross ◽  
Defensive Action ◽  
The Right

Blocking performance in volleyball is strongly affected by the time in which the action is executed. This study analyzes the time-motion variables in terms of the player’s role and movement direction (right or left), in different phases of the displacement and jump actions in the cross-over step block technique. A kinematic analysis was conducted with 10 senior male volleyball players. Two series of five repetitions were each recorded and classified in terms of middle-blockers (block in the center and sides of the net) and wing-players (only block in the sides). The results showed that the middle-blockers were significantly slower than the wing-players in the first (0.75 ± 0.24 vs. 0.66 ± 0.19 sec; p = 0.020; ES = −0.37 ± 0.30) and fourth phases (0.33 ± 0.8 vs. 0.29 ± 0.8 sec; p = 0.001; ES = −0.44 ± 0.31), and in the total time for blocking (3.15 ± 0.6 vs. 3 ± 0.58 sec; p = 0.003; ES = −0.23 ± 0.31). Overall, players were significantly faster when moving to the right side, showing performance asymmetries. The fastest phases were also performed just before the jump. These findings provide specific knowledge about the cross-over step block technique in its different phases and displacement direction. This information can be used to improve the movement time in the first defensive action in volleyball.

Time motion analysis of nursing work in ICU, telemetry and medical-surgical units

2017 ◽  
Vol 25 (8) ◽  
pp. 640-646 ◽  
Author(s):  
Elizabeth Schenk ◽  
Ruth Schleyer ◽  
Cami R. Jones ◽  
Sarah Fincham ◽  
Kenn B. Daratha ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Time Motion ◽  
Surgical Units

Peroperative time-motion analysis of diagnostic laparoscopy with laparoscopic ultrasonography

1999 ◽  
Vol 86 (7) ◽  
pp. 951-955 ◽  
Author(s):  
K. T. den Boer ◽  
L. T. de Wit ◽  
J. Dankelman ◽  
D. J. Gouma
Keyword(s):  
Motion Analysis ◽  
Diagnostic Laparoscopy ◽  
Laparoscopic Ultrasonography ◽  
Time Motion

Time motion analysis of 2001 and 2002 super 12 rugby

2005 ◽  
Vol 23 (5) ◽  
pp. 523-530 ◽  
Author(s):  
Grant Duthie ◽  
David Pyne ◽  
Sue Hooper
Keyword(s):  
Motion Analysis ◽  
Time Motion

Position-Dependent Cardiovascular Response and Time-Motion Analysis During Training Drills and Friendly Matches in Elite Male Basketball Players

2016 ◽  
Vol 30 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Lorena Torres-Ronda ◽  
Angel Ric ◽  
Ivan Llabres-Torres ◽  
Bernat de las Heras ◽  
Xavi Schelling i del Alcazar
Keyword(s):  
Motion Analysis ◽  
Cardiovascular Response ◽  
Basketball Players ◽  
Time Motion

scholarly journals A time-motion analysis of Paralympic football for athletes with cerebral palsy

2016 ◽  
Vol 11 (4) ◽  
pp. 552-558 ◽  
Author(s):  
Craig Boyd ◽  
Chris Barnes ◽  
Simon J Eaves ◽  
Christopher I Morse ◽  
Neil Roach ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Motion Analysis ◽  
Time Motion

Abstract 115: Video Review and Time-Motion Analysis of the Causes of No-Flow Intervals as Recorded by Accelerometer During Cardiopulmonary Resuscitation

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Yi-Chia Lee ◽  
Huang-Fu Yeh ◽  
Yen-Pin Chen ◽  
Chun-Yi Chang ◽  
Wei-Ting Chen ◽  
...  
Keyword(s):  
Cardiopulmonary Resuscitation ◽  
Motion Analysis ◽  
Video Recording ◽  
Electric Activity ◽  
Flow Duration ◽  
Video Review ◽  
Video Recordings ◽  
Time Motion ◽  
Comprehensive Information

Objectives: Accelerometer (Q-CPR) has been developed and promoted to monitor the quality of cardiopulmonary resuscitation (CPR). Although the device registers the occurrence of no-flow intervals, it does not provide comprehensive information on the causes leading to these no-flow intervals. This study is aimed to analyze causes leading to CPR interruptions registered by Q-CPR by reviewing corresponding video recordings of the resuscitation sessions. Methods: Accelerometer recordings (Q-CPR, Philips) of 20 CPR episodes from December 2010 to April 2014 in a tertiary university ED were obtained. Frequency, timing, duration, and types of no-flow intervals, defined as no-flow duration >= 1.5 seconds, were reviewed. Video recordings of the corresponding CPR sessions were reviewed. Causes leading no flow intervals registered by Q-CPR were categorized and analyzed. Results: The duration of CPR reviewed for the cases averaged 8.59 minutes (range 2.23 - 19.04 minutes). No-flow intervals (pauses >= 1.5 seconds) occurred 122 times (averaged one interruption every 1.27 minutes of CPR) with an average no-flow intervals of 6.45 seconds (range 1.54 - 51.50 seconds). Through detail review of the video-recordings corresponding to the no-flow intervals registered by Q-CPR, the leading causes of no-flow intervals are associated with pulse checks for pulseless electric activity- PEA (19.5%), pre-shock pauses (13.9%), ultrasound exam (11.6%) and intubation (9.6%), as displayed in the following chart. Conclusion: Video recording and time-motion analysis provide detailed information on the causes leading to no-flow intervals registered by QCPR, and could complement information acquired by Q-CPR. Measures should be taken to address leading causes of CPR interruption, especially pulse checks for PEA and pre-shock pauses, to promote quality of CPR.

scholarly journals Comparison of Two Methods to Estimate the Maximal Velocity of a Ball during an Overhand Throw

Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 43
Author(s):  
Alanna Weisberg ◽  
Julie Le Gall ◽  
Pro Stergiou ◽  
Larry Katz
Keyword(s):  
Motion Analysis ◽  
Doppler Radar ◽  
Performance Indicator ◽  
Maximal Velocity ◽  
3D Motion ◽  
3D Motion Analysis ◽  
Ball Velocity ◽  
Significant Performance ◽  
The Right ◽  
The Impact

Maximal ball velocity is a significant performance indicator in many sports, such as baseball. Doppler radar guns are widely assumed to underestimate velocity. Accuracy increases as the cosine angle between the radar gun and the object decreases. The purpose of this study was to investigate the impact of player handedness and the location of the radar gun on the accuracy of ball velocity. Throws were analyzed in four conditions: the radar gun on the right side, throwing with the right arm, then with the left arm; and the radar gun on the left side, throwing with the right arm, then with the left arm. The Cronbach’s alpha for all four conditions showed α-values above 0.97; however, a paired t-test indicated significant differences between the 3D motion analysis and the radar gun. Bland–Altman plots show a high degree of scatter in all conditions. Results suggest that the radar gun measurements can be highly inconsistent when compared to 3D motion analysis.

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