Inter-rater and intra-rater reliability of a movement control test in shoulder

Rajasekar, Seetharaman; Bangera, Rakshith K.; Sekaran, Padmanaban

doi:10.1016/j.jbmt.2017.05.019

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…The accuracy of the models was also evaluated using the Kappa statistic or Kappa coefficient (see Table 11) (Cohen, 1960;Ma & Redmond, 1995;Lo & Yeung, 2007). Kappa coefficient measures the inter-rater reliability and the intra-rater reliability for qualitative items (Rajasekar et al, 2017). The Kappa coefficient is assumed to be a more accurate measure than the usually used percent agreement calculation, due to the fact that it accounts for the agreement occurring by chance (Anderson & Delahanty, 2020;Duc et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Deep support vector machine for PolSAR image classification

Okwuashi

Ndehedehe

Olayinka

et al. 2021

International Journal of Remote Sensing

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The main problem posed by Polarimetric Synthetic Aperture Radar (PolSAR) image classification in remote sensing is the ability to develop classifiers that can substantially discern the different classes inherent in natural and man-made targets. Emphasis has shifted from the use of conventional classifiers to modern non-parametric classifiers such as the Artificial Neural Network (ANN) and Support Vector Machine (SVM); and most recently the hybrid Deep Neural Network (DNN) which is a fusion of Deep Learning (DL) and ANN. This research therefore presents the novel application of Deep Support Vector Machine (DSVM) which is a fusion of DL and SVM to PolSAR image classification. Two PolSAR images of Flevoland region in Netherlands, and Winnipeg in Canada are used as test beds for the experiment. The Lee filter is used to filter the images to suppress the speckle noise in the images. The Pauli decomposition is applied to decompose the images into |𝑆𝑆 𝐻𝐻𝐻𝐻 + 𝑆𝑆 𝑉𝑉𝑉𝑉 |, |𝑆𝑆 𝐻𝐻𝐻𝐻 − 𝑆𝑆 𝑉𝑉𝑉𝑉 |, |𝑆𝑆 𝐻𝐻𝑉𝑉 | polarimetric channels. Then the Gray Level Co-occurrence Matrix (GLCM) texture feature for |𝑆𝑆 𝐻𝐻𝐻𝐻 + 𝑆𝑆 𝑉𝑉𝑉𝑉 |, |𝑆𝑆 𝐻𝐻𝐻𝐻 − 𝑆𝑆 𝑉𝑉𝑉𝑉 |, |𝑆𝑆 𝐻𝐻𝑉𝑉 | are extracted based on correlation, contrast, energy, and homogeneity statistics, using GLCM directions 0 0 , 45 0 , 90 0 , and 135 0 with an offset distance of 60. To enhance the efficiency of the model 8, 16, 32, 64, 128, and 256 quantization levels are explored. The DSVM classifier is implemented with four kernel function: Exponential Radial Basis Function (ERBF), Gaussian Radial Basis Function (GRBF), neural, and polynomial. The first set of results is a comparison of the DSVM and SVM.

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Section: Discussionmentioning

confidence: 99%

Deep support vector machine for PolSAR image classification

Okwuashi

Ndehedehe

Olayinka

et al. 2021

International Journal of Remote Sensing

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“…The CMCTs are not tests of functional performance but are suggested to inform of loss of choice in movement. CMCTs have demonstrated good to excellent inter-and intra-rater reliability (Luomajoki et al, 2007, Mischiati et al, 2015, Rajasekar et al, 2017, Lenzlinger-Asprion et al, 2017, Segarra et al, 2015, Webb et al, 2018, Monnier et al, 2012.…”

Section: Cognitive Movement Control Tests For Assessing Patterns Of Movement Coordination Strategiesmentioning

confidence: 99%

“…The CMCTs described in the present paper follow clear principles of assessment procedure; a clearly defined start position, end position and benchmark that must be achieved through the test Examples include: Arm Flexion Test Mottram, 2012, Mottram, 2003), Kinetic Medial Rotation Test (Morrissey et al, 2008, Comerford and Mottram, 2012, Rajasekar et al, 2017, Small Knee Bend Test (Comerford and Mottram, 2012, Mischiati et al, 2015, Botha et al, 2014, Double Knee Swing Test (Comerford and Mottram, 2012, McNeill, 2014, Mischiati et al, 2015 and Split Squat and Fast Feet Change Test (Mischiati et al, 2015). Details of the principles of test procedures are set out in Table 1.…”

Section: Cognitive Movement Control Tests For Assessing Patterns Of Movement Coordination Strategiesmentioning

confidence: 99%

“…As movement represents a dynamic problem-solving phenomenon, these tests can be used to evaluate change over time. • Useful to identify primary loss of choice of scapula forward tilt or glenohumeral translation (Morrissey et al, 2008) • Reliability, (Rajasekar et al, 2017, Lluch et al, 2014, Mischiati et al, 2015 • Reliability: (Mischiati et al, 2015) Threshold: low…”

Section: Practical Illustrations Of Cognitive Movement Control Testsmentioning

confidence: 99%

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Assessment of movement coordination strategies to inform health of movement and guide retraining interventions

Mottram

Blandford

2020

Musculoskeletal Science and Practice

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“…If a functional movement is faulty and is the cause, or the result, of pain or injury in the mechanical system, it suggests that a movement assessment identifying the joints and the planes the faults occur at is required (Comerford and Mottram, 2012). Continuing validation of aspects of this assessment process is currently being published in this Journal (Rajasekar et al, 2017).…”

Section: Components Of Functional Movementmentioning

confidence: 99%

The Movement movement

McNeill¹

2017

Journal of Bodywork and Movement Therapies

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The British writer, George Monbiot (2013), introduced the word 'rewilding' to many, in his book 'Feral: Searching for Enchantment on the Frontiers of Rewilding.' Rewilding refers to the deliberate change to an ecosystem so that, in one example, the setting free of wolves in Yellowstone National Park in 1995, the ecosystem manipulation resulted in the change of the course of rivers in just a few years (web source 1).The rewilding created a 'trophic cascade' an ecological process Monbiot says, 'which starts at the top of the food chain and tumbles all the way down to the bottom.' The release of a small number of wolves that predated on the Wapiti, a large deer species, had a greater effect on the deer herds behaviour than on the numbers taken. After the introduction of the wolves the Wapiti avoided the previously over-grazed valleys and gorges in which they could easily be hunted, allowing rapid regeneration of the flora, bringing in birds, and beavers. Greater numbers of beavers and their river damming effects increased ecosystem availability for other species. The presence of wolves also increased the numbers of small animals, rabbits and mice, by reducing the numbers of the now second order predator, the coyote. The regenerating forests stabilised the banks of the rivers reducing erosion and cutting their channels deeper. Wolves physically changed the landscape. Monbiot advocates reintroducing the missing plants and animals in ecosystems that have suffered their loss due to deliberate or accidental human action. Monbiot wants to let nature decide what happens next.Tony Riddle, a natural lifestyle coach in London, recently interviewed, and the original source for this editorial, goes further, and describes rewilding almost as a treatment modality for the modern human condition, he refers to rewilding posture or movement as a process an individual can undertake to improve their movement qualities, including range, flexibility and strength but involving the whole movement system in a mindful engagement, while rejecting the muscle/joint/region isolationist approach favoured by the majority of today's fitness industry.Riddle cites; Georges H ebert, the creator of the Natural Method, father of the military assault course and forefather of parkour, Erwin le Corre, the successor to H ebert in our age and the creator of MoveNat, Ido Portal, a Movement Artist and coach, and Katy Bowman, author of Move your DNA, popular health and lifestyle commentator, as key resources, amongst others. Some of these names may be unfamiliar to those whose reading and reference are evidence based journals. Reviewing what is happening in popular culture within both the Fitness and Health worlds, can help a therapist decide whether current trends and fashions fit their own treatment philosophy and might be incorporated within their practice. But how fully will these ideas permeate practice the 10 000 years ago when the domestication of plants became the birth of agriculture and the Neolithic era (new stone age). It is generally agreed that ou...

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Inter-rater and intra-rater reliability of a movement control test in shoulder

Cited by 7 publications

References 15 publications

Deep support vector machine for PolSAR image classification

Deep support vector machine for PolSAR image classification

Assessment of movement coordination strategies to inform health of movement and guide retraining interventions

The Movement movement

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