Ground Reaction Force

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Ewald M Hennig - One of the best experts on this subject based on the ideXlab platform.

  • transfer function between tibial acceleration and Ground Reaction Force
    Journal of Biomechanics, 1995
    Co-Authors: Mario A Lafortune, Mark Lake, Ewald M Hennig
    Abstract:

    Abstract The purpose of the present study was to capture the relationship between Ground Reaction Force (GRF) and tibial axial acceleration. Tibia acceleration and GRF were simultaneously recorded from five subjects during running. The acceleration of the bone was measured with a transducer mounted onto an intracortical pin. The signals were analyzed in the frequency domain to characterize the relationship between GRF and tibial acceleration. The results confirmed that for each subject this relationship could be represented by a frequency transfer function. The existence of a more general relationship for all five subjects was also confirmed by the results. The transfer functions provided information about transient shock transmissibility for the entire impact phase of running.

  • Use of Ground Reaction Force Parameters in Predicting Peak Tibial Accelerations in Running
    Journal of applied biomechanics, 1993
    Co-Authors: Ewald M Hennig, Thomas L. Milani, Mario A Lafortune
    Abstract:

    Ground Reaction Force data and tibial accelerations from a skin-mounted transducer were collected during rearfoot running at 3.3 m/s across a Force platform. Five repetitive trials from 27 subjects in each of 19 different footwear conditions were evaluated. Ground Reaction Force as well as tibial acceleration parameters were found to be useful for the evaluation of the cushioning properties of different athletic footwear. The good prediction of tibial accelerations by the maximum vertical Force rate toward the initial Force peak (r2 = .95) suggests that the use of a Force platform is sufficient for the estimation of shock-absorbing properties of sport shoes. If an even higher prediction accuracy is required a regression equation with two variables (maximum Force rate, median power frequency) may be used (r2 = .97). To evaluate the influence of footwear on the shock traveling through the body, a good prediction of peak tibial accelerations can be achieved from Force platform measurements.

  • relationships between Ground Reaction Force and tibial bone acceleration parameters
    International journal of sport biomechanics, 1991
    Co-Authors: Ewald M Hennig, Mario A Lafortune
    Abstract:

    Using data from six male subjects, this study compared Ground Reaction Force and tibial acceleration parameters for running. A bone-mounted triaxial accelerometer and a Force platform were employed for data collection. Low peak values were found for the axial acceleration, and a time shift toward the occurrence of the first peak in the vertical Force data was present. The time to peak axial acceleration differed significantly from the time to the first Force peak, and the peak values of Force and acceleration demonstrated only a moderate correlation. However, a high negative correlation was found for the comparison of the peak axial acceleration with the time to peak vertical Force. Employing a multiple regression analysis, the peak tibial acceleration could be well estimated using vertical Force loading rate and peak horizontal Ground Reaction Force as predictors.

  • Relationships between Ground Reaction Force and Tibial Bone Acceleration Parameters
    International Journal of Sport Biomechanics, 1991
    Co-Authors: Ewald M Hennig, Mario A Lafortune
    Abstract:

    Using data from six male subjects, this study compared Ground Reaction Force and tibial acceleration parameters for running. A bone-mounted triaxial accelerometer and a Force platform were employed for data collection. Low peak values were found for the axial acceleration, and a time shift toward the occurrence of the first peak in the vertical Force data was present. The time to peak axial acceleration differed significantly from the time to the first Force peak, and the peak values of Force and acceleration demonstrated only a moderate correlation. However, a high negative correlation was found for the comparison of the peak axial acceleration with the time to peak vertical Force. Employing a multiple regression analysis, the peak tibial acceleration could be well estimated using vertical Force loading rate and peak horizontal Ground Reaction Force as predictors.

Mario A Lafortune - One of the best experts on this subject based on the ideXlab platform.

  • transfer function between tibial acceleration and Ground Reaction Force
    Journal of Biomechanics, 1995
    Co-Authors: Mario A Lafortune, Mark Lake, Ewald M Hennig
    Abstract:

    Abstract The purpose of the present study was to capture the relationship between Ground Reaction Force (GRF) and tibial axial acceleration. Tibia acceleration and GRF were simultaneously recorded from five subjects during running. The acceleration of the bone was measured with a transducer mounted onto an intracortical pin. The signals were analyzed in the frequency domain to characterize the relationship between GRF and tibial acceleration. The results confirmed that for each subject this relationship could be represented by a frequency transfer function. The existence of a more general relationship for all five subjects was also confirmed by the results. The transfer functions provided information about transient shock transmissibility for the entire impact phase of running.

  • Use of Ground Reaction Force Parameters in Predicting Peak Tibial Accelerations in Running
    Journal of applied biomechanics, 1993
    Co-Authors: Ewald M Hennig, Thomas L. Milani, Mario A Lafortune
    Abstract:

    Ground Reaction Force data and tibial accelerations from a skin-mounted transducer were collected during rearfoot running at 3.3 m/s across a Force platform. Five repetitive trials from 27 subjects in each of 19 different footwear conditions were evaluated. Ground Reaction Force as well as tibial acceleration parameters were found to be useful for the evaluation of the cushioning properties of different athletic footwear. The good prediction of tibial accelerations by the maximum vertical Force rate toward the initial Force peak (r2 = .95) suggests that the use of a Force platform is sufficient for the estimation of shock-absorbing properties of sport shoes. If an even higher prediction accuracy is required a regression equation with two variables (maximum Force rate, median power frequency) may be used (r2 = .97). To evaluate the influence of footwear on the shock traveling through the body, a good prediction of peak tibial accelerations can be achieved from Force platform measurements.

  • relationships between Ground Reaction Force and tibial bone acceleration parameters
    International journal of sport biomechanics, 1991
    Co-Authors: Ewald M Hennig, Mario A Lafortune
    Abstract:

    Using data from six male subjects, this study compared Ground Reaction Force and tibial acceleration parameters for running. A bone-mounted triaxial accelerometer and a Force platform were employed for data collection. Low peak values were found for the axial acceleration, and a time shift toward the occurrence of the first peak in the vertical Force data was present. The time to peak axial acceleration differed significantly from the time to the first Force peak, and the peak values of Force and acceleration demonstrated only a moderate correlation. However, a high negative correlation was found for the comparison of the peak axial acceleration with the time to peak vertical Force. Employing a multiple regression analysis, the peak tibial acceleration could be well estimated using vertical Force loading rate and peak horizontal Ground Reaction Force as predictors.

  • Relationships between Ground Reaction Force and Tibial Bone Acceleration Parameters
    International Journal of Sport Biomechanics, 1991
    Co-Authors: Ewald M Hennig, Mario A Lafortune
    Abstract:

    Using data from six male subjects, this study compared Ground Reaction Force and tibial acceleration parameters for running. A bone-mounted triaxial accelerometer and a Force platform were employed for data collection. Low peak values were found for the axial acceleration, and a time shift toward the occurrence of the first peak in the vertical Force data was present. The time to peak axial acceleration differed significantly from the time to the first Force peak, and the peak values of Force and acceleration demonstrated only a moderate correlation. However, a high negative correlation was found for the comparison of the peak axial acceleration with the time to peak vertical Force. Employing a multiple regression analysis, the peak tibial acceleration could be well estimated using vertical Force loading rate and peak horizontal Ground Reaction Force as predictors.

Brian Pietrosimone - One of the best experts on this subject based on the ideXlab platform.

  • biomechanical effects of manipulating peak vertical Ground Reaction Force throughout gait in individuals 6 12 months after anterior cruciate ligament reconstruction
    Clinical Biomechanics, 2020
    Co-Authors: Alyssa Evanspickett, Matthew K. Seeley, Hope C Daviswilson, Brittney A Lucharkey, Troy J Blackburn, Jason R Franz, Darin A Padua, Brian Pietrosimone
    Abstract:

    Abstract BackGround We aimed to determine the effect of cueing an increase or decrease in the vertical Ground Reaction Force impact peak (peak in the first 50% of stance) on vertical Ground Reaction Force, knee flexion angle, internal knee extension moment, and internal knee abduction moment waveforms throughout stance in individuals 6–12 months after an anterior cruciate ligament reconstruction. Methods Twelve individuals completed 3 conditions (High, Low, and Control) where High and Low Conditions cue a 5% body weight increase or decrease, respectively, in the vertical Ground Reaction Force impact peak compared to usual walking. Biomechanics during High and Low Conditions were compared to the Control Condition throughout stance. Findings The High Condition resulted in: (a) increased vertical Ground Reaction Forces at each peak and decreased during mid-stance, (b) greater knee excursion (i.e., greater knee flexion angle in early stance and a more extended knee in late stance), (c) greater internal extension moment for the majority of stance, and (d) lesser second internal knee abduction moment peak. The Low Condition resulted in: (a) vertical Ground Reaction Forces decreased during early stance and increased during mid-stance, (b) decreased knee excursion, (c) increased internal extension moment throughout stance, and (d) decreased internal knee abduction moment peaks. Interpretation Cueing a 5% body weight increase in vertical Ground Reaction Force impact peak resulted in a more dynamic vertical Ground Reaction Force loading pattern, increased knee excursion, and a greater internal extension moment during stance which may be useful in restoring gait patterns following anterior cruciate ligament reconstruction.

  • Walking Ground Reaction Force Post-ACL Reconstruction: Analysis of Time and Symptoms.
    Medicine and science in sports and exercise, 2019
    Co-Authors: Brian Pietrosimone, Matthew K. Seeley, Christopher A. Johnston, Steven J. Pfeiffer, J. Spang, J. Troy Blackburn
    Abstract:

    ABSTRACTPurposeThe association between lower-extremity loading and clinically relevant knee symptoms at different time points after anterior cruciate ligament reconstruction (ACLR) is unclear. Vertical Ground Reaction Force (vGRF) from walking was compared between individuals with and without clinic

  • Different Modes of Feedback and Peak Vertical Ground Reaction Force During Jump Landing: A Systematic Review
    Journal of athletic training, 2013
    Co-Authors: Hayley M. Ericksen, Phillip Gribble, Kate R. Pfile, Brian Pietrosimone
    Abstract:

    Context: Excessive Ground Reaction Force when landing from a jump may result in lower extremity injuries. It is important to better understand how feedback can influence Ground Reaction Force (GRF) and potentially reduce injury risk. Objective: To determine the effect of expert-provided (EP), self-analysis (SA), and combination EP and SA (combo) feedback on reducing peak vertical GRF during a jump-landing task. Data Sources: We searched the Web of Science database on July 1, 2011; using the search terms Ground Reaction Force, landing biomechanics, and feedback elicited 731 initial hits. Study Selection: Of the 731 initial hits, our final analysis included 7 studies that incorporated 32 separate data comparisons. Data Extraction: Standardized effect sizes and 95% confidence intervals (CIs) were calculated between pretest and posttest scores for each feedback condition. Data Synthesis: We found a homogeneous beneficial effect for combo feedback, indicating a reduction in GRF with no CIs crossing zero. We al...

Matthew K. Seeley - One of the best experts on this subject based on the ideXlab platform.

  • Predicting vertical Ground Reaction Force during running using novel piezoresponsive sensors and accelerometry
    Journal of sports sciences, 2020
    Co-Authors: Matthew K. Seeley, Alyssa Evans-pickett, Gavin Collins, James B. Tracy, Noelle J. Tuttle, Parker G. Rosquist, A. Jake Merrell, William F. Christensen, David T. Fullwood, Anton E. Bowden
    Abstract:

    Running is a common exercise with numerous health benefits. Vertical Ground Reaction Force (vGRF) influences running injury risk and running performance. Measurement of vGRF during running is now p...

  • biomechanical effects of manipulating peak vertical Ground Reaction Force throughout gait in individuals 6 12 months after anterior cruciate ligament reconstruction
    Clinical Biomechanics, 2020
    Co-Authors: Alyssa Evanspickett, Matthew K. Seeley, Hope C Daviswilson, Brittney A Lucharkey, Troy J Blackburn, Jason R Franz, Darin A Padua, Brian Pietrosimone
    Abstract:

    Abstract BackGround We aimed to determine the effect of cueing an increase or decrease in the vertical Ground Reaction Force impact peak (peak in the first 50% of stance) on vertical Ground Reaction Force, knee flexion angle, internal knee extension moment, and internal knee abduction moment waveforms throughout stance in individuals 6–12 months after an anterior cruciate ligament reconstruction. Methods Twelve individuals completed 3 conditions (High, Low, and Control) where High and Low Conditions cue a 5% body weight increase or decrease, respectively, in the vertical Ground Reaction Force impact peak compared to usual walking. Biomechanics during High and Low Conditions were compared to the Control Condition throughout stance. Findings The High Condition resulted in: (a) increased vertical Ground Reaction Forces at each peak and decreased during mid-stance, (b) greater knee excursion (i.e., greater knee flexion angle in early stance and a more extended knee in late stance), (c) greater internal extension moment for the majority of stance, and (d) lesser second internal knee abduction moment peak. The Low Condition resulted in: (a) vertical Ground Reaction Forces decreased during early stance and increased during mid-stance, (b) decreased knee excursion, (c) increased internal extension moment throughout stance, and (d) decreased internal knee abduction moment peaks. Interpretation Cueing a 5% body weight increase in vertical Ground Reaction Force impact peak resulted in a more dynamic vertical Ground Reaction Force loading pattern, increased knee excursion, and a greater internal extension moment during stance which may be useful in restoring gait patterns following anterior cruciate ligament reconstruction.

  • Walking Ground Reaction Force Post-ACL Reconstruction: Analysis of Time and Symptoms.
    Medicine and science in sports and exercise, 2019
    Co-Authors: Brian Pietrosimone, Matthew K. Seeley, Christopher A. Johnston, Steven J. Pfeiffer, J. Spang, J. Troy Blackburn
    Abstract:

    ABSTRACTPurposeThe association between lower-extremity loading and clinically relevant knee symptoms at different time points after anterior cruciate ligament reconstruction (ACLR) is unclear. Vertical Ground Reaction Force (vGRF) from walking was compared between individuals with and without clinic

H. Inoue - One of the best experts on this subject based on the ideXlab platform.

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