Abstract:This study examined the validity of 2 kinematic systems for estimating force and power during squat jumps. 12 weight-trained males each performed single repetition squat jumps with a 20-kg, 40-kg, 60-kg and 80-kg load on a Kistler portable force plate. A commercial linear position transducer (Gymaware [GYM]) and accelerometer (Myotest® [MYO]) were attached to the bar to assess concentric peak force (PF) and peak power (PP). Across all loads tested, the GYM and MYO estimates of PF and PP were moderately to stro… Show more
“…6,11 The criteria for statistical significance was set at p=0.05. Correlation values were interpreted according to scale developed by Hopkins: 0.0-0.1, 0.1-0.3, 0.3-0.5, 0.5-0.7, 0.7-0.9, and 0.9-1.0 were interpreted as trivial, small, moderate, large, very large, and nearly perfect.…”
Section: Data and Statistical Analysismentioning
confidence: 99%
“…A standard instrument to measure kinematic qualities of movement is three-dimensional (3D) motion capture hardware and software. As in past studies for validation purpose on kinetics and kinematics, different types of devices are being used, 6 but 3D motion capture system was deemed a satisfactory criterion measure to test that the PUSH™ device as it is capable of reporting accurate data with minimal errors. The device is relatively new and its data acquisition accuracy requires examination scientific examination in order to determine its reliability.…”
Objectives:The purpose of the study was to identify the level of accuracy in velocity measurement from a newly developed inertia sensor. Design and Methods: Five subjects performed two dumbbell exercises for total of four sets of ten repetitions with a light intensity. Velocity data were taken and considered for analysis from two devices; the inertia sensor, wirelessly connected via Bluetooth™ to a smartphone, and a motion capture system. Both data were taken at the sampling frequency of 200 Hz. Identical data sets of peak and average velocity were analyzed with Pearson product-moment zero-order correlation using total 200 data points (5 subjects, 4 sets, and 10 repetitions) on both exercises with p value of 0.05. Data were also analyzed using the same statistical procedure for left and right side to ensure the device-device data consistency. Results: Results showed high correlations in both exercises between the two velocity measurement methods (0.80 -0.92), indicating the accuracy of the data from the inertia sensor is supportive. Left and right side correlations were also high from the inertia sensor (0.90 -0.93) indicating that the data were similar with relatively identical movements between the two limbs. Conclusions: With the accuracy of the velocity measurement, this would potentially replace currently used, wired devices to accommodate user-friendly, accessible to more exercises to measure velocity.
“…6,11 The criteria for statistical significance was set at p=0.05. Correlation values were interpreted according to scale developed by Hopkins: 0.0-0.1, 0.1-0.3, 0.3-0.5, 0.5-0.7, 0.7-0.9, and 0.9-1.0 were interpreted as trivial, small, moderate, large, very large, and nearly perfect.…”
Section: Data and Statistical Analysismentioning
confidence: 99%
“…A standard instrument to measure kinematic qualities of movement is three-dimensional (3D) motion capture hardware and software. As in past studies for validation purpose on kinetics and kinematics, different types of devices are being used, 6 but 3D motion capture system was deemed a satisfactory criterion measure to test that the PUSH™ device as it is capable of reporting accurate data with minimal errors. The device is relatively new and its data acquisition accuracy requires examination scientific examination in order to determine its reliability.…”
Objectives:The purpose of the study was to identify the level of accuracy in velocity measurement from a newly developed inertia sensor. Design and Methods: Five subjects performed two dumbbell exercises for total of four sets of ten repetitions with a light intensity. Velocity data were taken and considered for analysis from two devices; the inertia sensor, wirelessly connected via Bluetooth™ to a smartphone, and a motion capture system. Both data were taken at the sampling frequency of 200 Hz. Identical data sets of peak and average velocity were analyzed with Pearson product-moment zero-order correlation using total 200 data points (5 subjects, 4 sets, and 10 repetitions) on both exercises with p value of 0.05. Data were also analyzed using the same statistical procedure for left and right side to ensure the device-device data consistency. Results: Results showed high correlations in both exercises between the two velocity measurement methods (0.80 -0.92), indicating the accuracy of the data from the inertia sensor is supportive. Left and right side correlations were also high from the inertia sensor (0.90 -0.93) indicating that the data were similar with relatively identical movements between the two limbs. Conclusions: With the accuracy of the velocity measurement, this would potentially replace currently used, wired devices to accommodate user-friendly, accessible to more exercises to measure velocity.
“…Pour mesurer le temps passé immobile ou bien en mouvement tout au long d'une journée dans le but par exemple de définir le degré de sédentarité on utilisera plutôt un accéléromètre avec une fréquence comprise entre 25 et 60 Hz (Bouten et al, 1997 ;Chen et al, 2005 ;Cleland et al, 2013 ;Kavanagh et al, 2008). Pour la mesure des accélérations d'un point sur le corps lors d'un saut ou d'une course ou bien encore d'une barre de musculation on utilisera des fréquences allant de 100 à 1000 Hz (Choukou et al, 2014 ;Crewther et al, 2011 ;Jidovtseff et al, 2006 ;Sato et al, 2009). Plus le mouvement est dynamique et plus la fréquence d'enregistrement devra être élevée si on veut obtenir une image précise du mouvement analysé sans erreur lors des procédures de calcul.…”
Section: Figure 2 Mesure De L'inclinaison à Partir D'un Accéléromètrunclassified
“…Plusieurs études récentes ont étudié la validité de l'accélérométrie dans des conditions de mouvement non guidées, plus proches de la réalité de terrain (Bampouras et al, 2013 ;Comstock et al, 2011 ;Crewther et al, 2011 ;McMaster et al, 2013 ;Sato et al, 2009). Les résultats ne semblent pas montrer l'existence d'un biais plus important lorsque le mouvement n'est pas guidé.…”
Section: Figure 10 Corrélation Entre Les Valeurs De Pmax Obtenues Paunclassified
RÉSUMÉ. Depuis une décennie l'accélérométrie permet d'effectuer des mesures hors du accéléromètre, validité, reproductibilité, évaluation inertielle, développé couché, squat, force, puissance, profil force-vitesse, biomécanique.
“…Another study showed a comparison of the accelerometer and force platform measures during jumping and found moderate levels of agreement between devices when measuring vertical peak force [7]. Similarly, vertical forces were examined in squats and found moderate to high correlations between forces from an accelerometer and force platform [8]. By contrast, very good agreement between devices was found in determining flight times 1 in vertical jumps [9].…”
Abstract-a method of estimating force using an accelerometer is presented. This model is based on estimating the resultant acceleration of a body at its centre of mass using a triaxial accelerometer. A data set of ground reaction forces are gathered using a force platform, which is used as the control for this experiment. Signal processing techniques for resampling the accelerometer signals, along with a method of cross correlation to align the force platform and accelerometer traces are used. The purpose of this study was to compare force calculated using accelerometer data from the SHIMMER device, with force platform data on counter movement and drop jumps, for use in sports biomechanics. The method was validated using twelve physically active adults who performed 5 counter movement jumps and 5 drop jumps from a height of 0.30 m. An accelerometer was attached near the participant's centre of mass and simultaneous force and acceleration data were obtained for the jumps.Minimum eccentric force and peak concentric force were calculated concurrently for countermovement jumps and peak landing forces were calculated concurrently for drop jumps. The results showed moderate to low levels of agreement in forces and a consistent systematic bias between the results from the force platform and accelerometer. However, good agreement between the accelerometer and force platform was observed during the eccentric phase of the countermovement jump.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.