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 Time-motion analysis of competitive surfers: Portuguese championship

2019 ◽  
Vol 65 (6) ◽  
pp. 810-817
Author(s):  
Beatriz Minghelli ◽  
Sara Paulino ◽  
Sara Graça ◽  
Inês Sousa ◽  
Priscilla Minghelli
Keyword(s):  
Motion Analysis ◽  
Training Programs ◽  
Analysis Software ◽  
Activity Profile ◽  
Time Motion ◽  
Starting Point ◽  
Time Average ◽  
Insight Into ◽  
Stationary Period ◽  
Activity Times

SUMMARY BACKGROUND: Time-motion analysis has been used to provide detailed insight into surfers’ performance. This study evaluated surfers’ activity times at the Portuguese surfing championship in order to account for the time spent in each surfing activity. METHODS: Eighty-seven individually recorded videos of surfers were analyzed, showing their activity over the entire heat, and video analysis software was used to obtain each surfer's activity profile in the competition. RESULTS: The results breakdown by time percentage show that the surfers were paddling 50.9% of the time, sprint paddling for wave 1.9%, were stationary 34.1% of the time, wave riding 3.7%, and involved in miscellaneous activities (e.g., duck diving, board recovery, etc.) 9.4% of the total time. Average times spent in each surfing activity were 18.6 seconds for paddling, 2.9 seconds for sprint paddling for a wave, 21.7 seconds for the stationary period, 11.5 seconds for wave riding, and 6.9 seconds for miscellaneous activities. CONCLUSIONS: The data revealed that the most performed heat activity was paddling, allowing us to conclude that surfing is basically a long-arm paddling activity and that this activity constitutes a specific surfing competition demand, which in turn means that individual surfer's data can be used as a starting point for the development of tailored conditioning training programs.

Time-motion analysis of operation theater time use during laparoscopic cholecystectomy by surgical specialist residents

2004 ◽  
Vol 18 (11) ◽  
pp. 1597-1600 ◽  
Author(s):  
M. H. Geryane ◽  
G. B. Hanna ◽  
A. Cuschieri
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Motion Analysis ◽  
Time Use ◽  
Time Motion ◽  
Theater Time

scholarly journals Contextual Variables and Time-Motion Analysis in Soccer

2011 ◽  
Vol 32 (06) ◽  
pp. 415-421 ◽  
Author(s):  
J. Castellano ◽  
A. Blanco-Villaseñor ◽  
D. Álvarez
Keyword(s):  
Motion Analysis ◽  
Contextual Variables ◽  
Time Motion
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