Medial Epicondylitis

Glazebrook, Mark; Curwin, Sandra; Islam, Mohammad Najmul; Kozey, John W.; Stanish, William D.

doi:10.1177/036354659402200516

Cited by 34 publications

(12 citation statements)

References 10 publications

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“…[3] Although injury to the common golf grips on the forces generated in the forearm flexor bundle at the medial epicondyle is commonly muscles. [49] Even though the elbow is a common injury of all elbow injuries, 85% occurred to the lateral site in golfers, little research has been conducted in aspect. In a the devices compared with those that did not use study of golf injuries, McCarroll et al [2] found that them.…”

Section: Elbow Injuriesmentioning

confidence: 99%

Golf Injuries

McHardy

Pollard²,

Luo³

2006

Sports Medicine

103

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Golf is one of a few activities that people of all ages and skill level can play. Injury as with all sports can occur. The low back is the most common injury sustained whilst playing golf, and the dynamic action of the golf swing is a major contributing factor to injury. The golf swing is a complex movement that utilises the whole body in a coordinated fashion and when repeated frequently can result in injury. Injury can be overuse or traumatic in nature. Overuse injuries predominate in the professional golfer, and amateur golfer injury tends to occur secondary to an incorrect golf swing. Upper limb injuries are also common due to their role in linking the fast moving golf club with the power-generating torso. Fortunately, injury from a club or ball strike is rare. More common are the overuse injuries associated with the back, neck and shoulder. Most golf injury data have been collected retrospectively and further epidemiological study of a prospective nature is required to determine injury incidence and factor relating to the onset of injury.

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Section: Elbow Injuriesmentioning

confidence: 99%

Golf Injuries

McHardy

Pollard²,

Luo³

2006

Sports Medicine

103

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“…The timing and length of the swing phases are used as indices during the swing analysis [ 6 ]. In addition, the golf swing is usually analyzed using the phases and their dividing points [ 7 , 8 ] because these phases have a certain pattern [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Golf Swing Segmentation from a Single IMU Using Machine Learning

Kim

Park

2020

Sensors

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Golf swing segmentation with inertial measurement units (IMUs) is an essential process for swing analysis using wearables. However, no attempt has been made to apply machine learning models to estimate and divide golf swing phases. In this study, we proposed and verified two methods using machine learning models to segment the full golf swing into five major phases, including before and after the swing, from every single IMU attached to a body part. Proposed bidirectional long short-term memory-based and convolutional neural network-based methods rely on characteristics that automatically learn time-series features, including sequential body motion during a golf swing. Nine professional and eleven skilled male golfers participated in the experiment to collect swing data for training and verifying the methods. We verified the proposed methods using leave-one-out cross-validation. The results revealed average segmentation errors of 5–92 ms from each IMU attached to the head, wrist, and waist, accurate compared to the heuristic method in this study. In addition, both proposed methods could segment all the swing phases using only the acceleration data, bringing advantage in terms of power consumption. This implies that swing-segmentation methods using machine learning could be applied to various motion-analysis environments by dividing motion phases with less restriction on IMU placement.

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“… 12 In addition, the non-dominant arm complex is also influential in generating power in the swing, 14 as the forearm could lead the flexor burst in the acceleration section of the swing. 15 …”

Section: Introductionmentioning

confidence: 99%

Effects of core and non-dominant arm strength training on drive distance in elite golfers

Sung

Park

Kim

et al. 2016

Journal of Sport and Health Science

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BackgroundVarious training schemes have sought to improve golf-related athletic ability. In the golf swing motion, the muscle strengths of the core and arms play important roles, where a difference typically exists in the power of arm muscles between the dominant and non-dominant sides. The purposes of this study were to determine the effects of exercises strengthening the core and non-dominant arm muscles of elite golf players (handicap < 3) on the increase in drive distance, and to present a corresponding training scheme aimed at improving golf performance ability.MethodsSixty elite golfers were randomized into the control group (CG, n = 20), core exercise group (CEG, n = 20), and group receiving a combination of muscle strengthening exercises of the non-dominant arm and the core (NCEG, n = 20). The 3 groups conducted the corresponding exercises for 8 weeks, after which the changes in drive distances and isokinetic strength were measured.ResultsSignificant differences in the overall improvement of drive distance were observed among the groups (p < 0.001). Enhancement of the drive distance of NCEG was greater than both CG (p < 0.001) and CEG (p = 0.001). Except for trunk flexion, all variables of the measurements of isokinetic strength for NCEG also showed the highest values compared to the other groups. Examination of the correlation between drive distance and isokinetic strength revealed significant correlations of all variables except trunk flexion, wrist extension, and elbow extension.ConclusionThe combination of core and non-dominant arm strength exercises can provide a more effective specialized training program than core alone training for golfers to increase their drive distances.

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Medial Epicondylitis

Cited by 34 publications

References 10 publications

Golf Injuries

Golf Injuries

Golf Swing Segmentation from a Single IMU Using Machine Learning

Effects of core and non-dominant arm strength training on drive distance in elite golfers

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