Biomechanical analysis requires the determination of specific foot contact events. This is typically achieved using force platform information; however, when force platforms are unavailable, alternative methods are necessary. A method was developed for the determination of gait events using an accelerometer mounted to the distal tibia, measuring axial accelerations. The aim of the investigation was to determine the efficacy of this method. Sixteen participants ran at 4.0 m/s ±5%. Synchronized tibial accelerations and vertical ground reaction forces were sampled at 1000 Hz as participants struck a force platform with their dominant foot. Events determined using the accelerometer, were compared with the corresponding events determined using the force platform. Mean errors of 1.68 and 5.46 ms for average and absolute errors were observed for heel strike and of –3.59 and 5.00 ms for toe-off. Mean and absolute errors of 5.18 and 11.47 ms were also found for the duration of the stance phase. Strong correlations (r= .96) were also observed between duration of stance obtained using the two different methods. The error values compare favorably to other alternative methods of predicting gait events. This suggests that shank-mounted accelerometers can be used to accurately and reliably detect gait events.
Background: Within equestrian sports, training is commonly based on historic and anecdotal good practice. Telemetric surface electromyography (sEMG) systems facilitate assessment of muscle recruitment including mean motor unit action potential (mM-UAP). Mean EMG frequency (mEMGF) provides an objective measure of fitness levels while a shift in the median EMG frequency (MeEMGF) over time can illustrate fatigue. Aim: This study aimed to investigate if sEMG could be used in the field to evaluate muscle activity of the Gluteus superficialis in a cohort of National Hunt racehorses during one canter interval training session. Method: Sensors were secured bilaterally to horses' Gluteal superficialis prior to exercise and data were collected over a standardised 10 metre interval. A repeated measure ANOVA assessed differences in mEMGF between runs across the cohort and between runs for individual horses. A Pearson's correlation identified if mEMGF was related to perceived fitness level as assessed by the trainer. mEMGF and MeEMGF for individual horses were plotted over time (0.25 second intervals) to assess fitness and fatigue. Results: Individual horses exhibited a wide variety of mMUAP values. No differences were found between runs for the overall cohort (p>0.05) however significant differences were found between runs within some individual horses (p<0.01). No relationship between fitness level and mEMGF was found (p>0.05), mEMGF varied throughout runs and MeEMGF for most horses remained consistent indicative of a lack of fatigue. Conclusion: The results suggest that this technology exhibits potential to be used to aid analysis of efficacy of training programmes for individual horses.
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