Reducing Impact Loading During Running With the Use of Real-Time Visual Feedback

Crowell, Harrison P.; Milner, Clare E.; Hamill, Joseph; Davis, Irene S.

doi:10.2519/jospt.2010.3166

Cited by 177 publications

(182 citation statements)

References 42 publications

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“…Possibly in response to the abnormal early knee extension, knee flexion is initiated much earlier in the injured subject (at 15% of the cycle) compared to normal (at 35%). The greater knee flexion in the injured subject during the terminal swing phase (85−100%) combination with greater hip flexion (68−100%) may be indicative of a crouched ("Groucho") running style aimed at reducing impact loads and hence reducing back pain and further injury [49], [50].However, in contrast to previously reported crouched running strategies [49], [50], our injured athlete did not increase their knee flexion during early/mid stance, they actually extended their knee more than the uninjured athletes. Peak impact accelerations of the sacrum were automatically extracted by identifying the smallest magnitude within a 70 frames (0.28sec) after initial ground contact.…”

Section: Technique Evaluationmentioning

confidence: 99%

Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Ahmadi

Mitchell

Richter

et al. 2015

IEEE Internet Things J.

106

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Abstract-Motion analysis technologies have been widely used to monitor the potential for injury and enhance athlete performance. However, most of these technologies are expensive, can only be used in laboratory environments and examine only a few trials of each movement action. In this paper, we present a novel ambulatory motion analysis framework using wearable inertial sensors to accurately assess all of an athlete's activities in real training environment. We firstly present a system that automatically classifies a large range of training activities using the Discrete Wavelet Transform (DWT) in conjunction with a Random forest classifier. The classifier is capable of successfully classifying various activities with up to 98% accuracy. Secondly, a computationally efficient gradient descent algorithm is used to estimate the relative orientations of the wearable inertial sensors mounted on the shank, thigh and pelvis of a subject, from which the flexion-extension knee and hip angles are calculated. These angles, along with sacrum impact accelerations, are automatically extracted for each stride during jogging. Finally, normative data is generated and used to determine if a subject's movement technique differed to the normative data in order to identify potential injury related factors. For the joint angle data this is achieved using a curve-shift registration technique. It is envisaged that the proposed framework could be utilized for accurate and automatic sports activity classification and reliable movement technique evaluation in various unconstrained environments for both injury management and performance enhancement.

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Section: Technique Evaluationmentioning

confidence: 99%

Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Ahmadi

Mitchell

Richter

et al. 2015

IEEE Internet Things J.

106

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“…The incorporation of visual biofeedback, stance time decreased by 26% and push-off forces and center or pressure improved from 2.47% to 1.38% and -1.58% to 0.56%, respectively. Crowell et al measured running mechanics with attached accelerometers, and represented measurements through a temporal display to reduce impact loading [11]. This technique resulted in reduced amplitude of peak acceleration, impact peaks, average loading rates and instantaneous loading rates, during training and ten minutes following removal of feedback.…”

Section: Introductionmentioning

confidence: 99%

“…With the incorporation of visual biofeedback, participants were more engaged during the activity resulting in improved goal-based training [8]. Other examples of goal-based visual biofeedback training include studies by Dingwell et al and Crowell et al, who used visual displays to represent kinetic measurements during treadmill use [9][10][11]. Dingwell et al employed differential, temporal and comparison visual displays to represent measurements from pushoff forces and center of pressure [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Four different visual displays were developed using kinetic biofeedback from vertical load measurements on each pedal of the elliptical. These displays were adapted from previous research studies that measured the effect of visual biofeedback during instrumented treadmill use [9][10][11]. They featured differential, temporal, and comparative measures.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the Impact of Visual Biofeedback on Postural Control Via Informative Dynamic Balance Training in Healthy Individuals

Massenzo

Pidcoe²

2015

Int J Phys Med Rehabil

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Objective: After traumatic brain injury (TBI), postural instability often results. This can effect ambulation and, subsequently, activities of daily living. Various forms of rehabilitation have been developed, but few offer engaging activities that provide informative dynamic balance training. The goal of this pilot study was to build a goal-based system that provided visual biofeedback to create an enriched environment for dynamic postural rehabilitation. The study aimed to determine if visual biofeedback had an effect on posture and balance during training for healthy participants; as well as determine the optimal man-machine visual-biofeedback interface.Method: A modified elliptical trainer was developed that incorporated visual-biofeedback from measured left and right lower extremity loads. Four visual displays were constructed and tested on a sample of 15 healthy participants. These displays provided targeted feedback to aid in symmetric performance. The displays differed in the amount of information provided and in the extent of algorithmic pre-processing. Data were evaluated by calculating the index of symmetry (IOS) and statistically comparing display types.Results: Participants performed significantly better with the introduction of visual biofeedback than baseline measurements with no display based on index of symmetry values. The data suggests that the feedback display that incorporated both temporal historical data and differential pre-processing performed the best. This display was called the differential-temporal display. Conclusion:Our results reflect that performance is enhanced with the introduction of visual biofeedback during dynamic postural training. We also established that the differential-temporal display was the optimal feedback system to reduce IOS values during elliptical trainer use. From our results, it became apparent that incorporating visual biofeedback during postural training is a sophisticated approach to improve baseline asymmetries inherent in healthy participants. It is anticipated that similar results are likely to occur in a cohort of TBI patients due to the reduction of cognitive demand.

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“…In recent studies [4][5][6] participants were asked to run on a treadmill while receiving feedback on tibial acceleration. All studies found beneficial effects of feedback in decreasing tibial acceleration within one session.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Learning Effect in Response to Biofeedback Aimed at Reducing Tibial Acceleration during Running

Gelder

Barnes

Wheat

et al. 2018

The 12th Conference of the International Sports Engineering Association

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Abstract:Increased tibial acceleration has been found to be an important risk factor for tibial stress fractures. Interventions aimed at reducing this variable which found a beneficial effect include the use of biofeedback in gait retraining. However, no studies have focused on the time participants take to modify tibial acceleration, therefore we aimed to find the start of a learning plateau in this study. Six participants ran on a treadmill while multisensory feedback was given. A single-subject analysis was used to characterise the learning effects. All participants changed peak tibial acceleration within the first step of running in the feedback condition. Two participants further reduced tibial acceleration to reach a plateau within 120 steps. In four of the six participants a strong effect of the feedback was still present after a week. Further research is needed to optimise the use of biofeedback in reducing the prevalence of tibial stress fractures.

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Reducing Impact Loading During Running With the Use of Real-Time Visual Feedback

Cited by 177 publications

References 42 publications

Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session

Investigating the Impact of Visual Biofeedback on Postural Control Via Informative Dynamic Balance Training in Healthy Individuals

Characterizing the Learning Effect in Response to Biofeedback Aimed at Reducing Tibial Acceleration during Running

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