Jumps Torrent Download [key]
Aquilino Neadstine
Background: Anterior cruciate ligament (ACL) injuries are a serious problem, with a high incidence and serious consequences. Published clinical screening tests are based on 2-legged and controlled drop jumps, but ACL injuries are known to occur in single-legged landings and sidestep cutting, where the load is predominantly distributed to a single leg.
Purpose: To describe knee kinematics and kinetics in drop jumps and sidestep cutting and investigate the rank correlation of knee valgus angles and knee abduction moments between and within these movements.
Methods: A total of 120 elite female handball players (mean SD: age, 22.4 7.1 years; height, 171 7 cm; weight, 67 7 kg), each performed 3 drop jumps and 3 sport-specific sidestep cuts to each side. Kinematics and kinetics were calculated from high-speed 3-dimensional motion analysis.
Results: Knee kinematics and kinetics were significantly different between drop jumps and sidestep cutting. The knee abduction moment was 6 times higher in sidestep cutting (1.58 0.60 Nm/kg vs 0.25 0.16 Nm/kg). There was a poor correlation between knee abduction moments (ρ = 0.135) in the 2 tasks, but a moderate correlation (ρ = 0.706) for knee valgus angles. There was a poor correlation between knee valgus angles in drop jumps and knee abduction moments in sidestep cuts (ρ = 0.238).
Conclusion: Motion patterns are different between drop jumps and sidestep cutting. There is a moderate correlation for knee abduction moments between the 2 tasks, but knee abduction moments are less consistent across tasks.
Clinical relevance: Knee valgus angles during drop jumps do not predict knee abduction moments during sidestep cutting. The moderate correlation of knee valgus angles in drop jumps and sidestep cutting indicates that this measure may be more relevant for screening efforts.
Twenty-five volleyball players (14 males, 11 females) were videotaped (60 Hz) performing countermovement vertical jumps with and without an arm swing. Ground reaction force and video-based coordinate data were collected simultaneously. The resultant joint force and torque at the hip, knee, ankle and shoulder for two trials per subject per condition were computed and normalized. Average kinematic, resultant joint force and torque data were compared using repeated-measures analysis of variance. Larger values were recorded for the vertical velocity of the centre of mass at take-off in the jumps with (mean 2.75, s = 0.3 m.s-1) versus without (mean 2.44, s = 0.23 m.s-1) an arm swing. The jumps with no arm swing produced larger torques at the hip during the first third of the propulsive phase (from zero to maximum vertical velocity of the centre of mass). During the final two-thirds of the propulsive phase, the arm swing augmented hip extensor torques by slowing the rate of trunk extension and placing the hip extensor muscles in slower concentric conditions that favoured the generation of larger forces and resultant joint torques. During the first two-thirds of the propulsive phase, knee extensor torque increased by 28% in the jumps with an arm swing, but maintained a relatively constant magnitude in the jumps with no arm swing.
The purpose of this investigation was to determine whether the addition of 3 depth jumps to a dynamic warm-up (DYNDJ) protocol would significantly improve 20-m sprint performance when compared with a cardiovascular (C) warm-up protocol or a dynamic (DYN) stretching protocol alone. The first part of the study identified optimal drop height for all subjects using the maximum jump height method. The identified optimal drop heights were later used during the DYNDJ protocol. The second part compared the 3 warm-up protocols above to determine their effect on 20-m sprint performance. Twenty-nine subjects (age, 20.8 4.4 years; weight, 82.6 9.9 kg; height, 180.3 6.2 cm) performed 3 protocols of a C protocol, a DYN protocol, and a DYNDJ protocol in a randomized order. A 20-m sprint was performed 1 minute after the completion of each of the 3 protocols. Results displayed significant differences between each of the 3 protocols. A significant improvement (p = 0.001) of 2.2% was obtained in sprint time between the C protocol (3.300 0.105 seconds) and the DYN protocol (3.227 0.116 seconds), a further significant improvement of 5.01% was attained between the C and the DYNDJ protocols (3.300 0.10 vs. 3.132 0.120 seconds; p = 0.001). In addition, a significant improvement (p = 0.001) of 2.93% was observed between the DYN protocol (3.227 0.116 seconds) and the DYNDJ protocol (3.132 0.116 seconds). The data from this study advocate the use of DYNDJ protocol as a means of significantly improving 20-m sprint performance 1 minute after the DYNDJ protocol.
Flight time is the most accurate and frequently used variable when assessing the height of vertical jumps. The purpose of this study was to analyze the validity and reliability of an alternative method (i.e., the HSC-Kinovea method) for measuring the flight time and height of vertical jumping using a low-cost high-speed Casio Exilim FH-25 camera (HSC). To this end, 25 subjects performed a total of 125 vertical jumps on an infrared (IR) platform while simultaneously being recorded with a HSC at 240 fps. Subsequently, 2 observers with no experience in video analysis analyzed the 125 videos independently using the open-license Kinovea 0.8.15 software. The flight times obtained were then converted into vertical jump heights, and the intraclass correlation coefficient (ICC), Bland-Altman plot, and Pearson correlation coefficient were calculated for those variables. The results showed a perfect correlation agreement (ICC = 1, p < 0.0001) between both observers' measurements of flight time and jump height and a highly reliable agreement (ICC = 0.997, p < 0.0001) between the observers' measurements of flight time and jump height using the HSC-Kinovea method and those obtained using the IR system, thus explaining 99.5% (p < 0.0001) of the differences (shared variance) obtained using the IR platform. As a result, besides requiring no previous experience in the use of this technology, the HSC-Kinovea method can be considered to provide similarly valid and reliable measurements of flight time and vertical jump height as more expensive equipment (i.e., IR). As such, coaches from many sports could use the HSC-Kinovea method to measure the flight time and height of their athlete's vertical jumps.
Due to my limited time and the large number of emails I receive, I am not able to answer all of them. Please look at the FAQ \u0026 READ THE SETUP section before emailing me. Thanks!If you like the work, feel free to donate: https:\/\/paypal.me\/derdodFAQ:- I cannot find the app on my watch after installation This is NOT AN APP but a datafield, see setup below.- The jump count stays at 0 Be sure to have \"Activity Tracking\" on, please refer to your watch manual.## Garmin Connect IQ datafield for counting jumps during Jump Rope activities### Setup (links for Vivoactive 4, all manuals can be found here: https:\/\/support.garmin.com\/en-US\/ql\/?focus=manuals)THIS IS A DATAFIELD, IT DOES NOT APPEAR UNDER APPS.- Copy Cardio activity and rename it to \"Jump Rope\" (or whatever you\u00B4d like)https:\/\/www8.garmin.com\/manuals\/webhelp\/vivoactive4_4S\/EN-US\/GUID-1E365EB2-6BC1-4E25-96D9-5D4742A56BF0.html- Add Jumps to your Data Screen (found under category CIQ-field)https:\/\/www8.garmin.com\/manuals\/webhelp\/vivoactive4_4S\/EN-US\/GUID-C6CF3D4D-4671-4EAD-95D7-83F52C2B51CD.html- Start the activity and calibrate the multiplier (jump 100 times and see what\u00B4s displayed, then use the formula: multiplier=100\/\"jumps displayed\"- Adjust multiplier if necessaryGo to Connect IQ app on your phone, select Jumps, settings, multiplier- Start jumping!### DescriptionThis datafield is based on the open source [PoleSteps to FIT](https:\/\/github.com\/rgergely\/polesteps) steps datafield with a multiplier. The multiplier can be configured through the Connect IQ phone application or the Garmin Express PC software.The differences are:* jumps counted instead of steps* Connect IQ graphs for total jumps, jumps per minute, and seconds per jump* Jumping Effect (see explanation below)* Choose between 4 types of data to display: jumps, jumps per minute, seconds per jump, and jumping effect (also displayed in summary\/charts)##### Jumping Effect: indicates how hard you trained.A value of 100 is equivalent to jumping 20 minutes non-stop at a 120+ jpm pace.You don\u00B4t need to be fast to lose weight, all of these are equivalent in term of calories burned: * 20 minutes at 120jpm (MET=12.3) * 21 minutes at 100 jpm (MET=11.8) * 28 minutes at 80 jpm (MET=8.8) This index makes it easier to compare how hard your training was with your friends.This is based on the MET (Metabolic Equivalent) for rope jumping as a function of the pace.[source](https:\/\/sites.google.com\/site\/compendiumofphysicalactivities\/Activity-Categories\/sports)#####A big Thank you to rgergely for making his code available!PoleSteps can be downloaded here: [PoleSteps to FIT](https:\/\/apps.garmin.com\/en-US\/apps\/fc007f07-cac0-4d5d-a411-e4a34840f57e). The original datafield without the multiplier can be downloaded from this location: [Steps to FIT](https:\/\/apps.garmin.com\/en-US\/apps\/eb7018d6-3a13-4530-92ec-ed51d1f56e07)Open Source Icon from [icons8](https:\/\/icons8.de\/icons\/set\/jump-rope\")Hero-picture licensed under the Creative Commons Attribution-Share Alike 4.0 International license \/ author: Santeri Viinam\u00E4ki (cropped to 1440x720)"; var appDescriptionMoreLabel = "More"; # TROUBLESHOOTINGDue to my limited time and the large number of emails I receive, I am not able to answer all of them. Please look at the FAQ & READ THE SETUP section before emailing me. Thanks!If you like the work, feel free to donate: :- I cannot find the app on my watch after installation This is NOT AN APP but a datafield, see setup below.
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