The purpose of this paper is to evaluate neuromuscular fatigue among elite basketball players in the Iraqi Basketball League using surface electromyography (sEMG) with the Ultium EMG device and the MR3.18 program, and using the Wavelet analysis application with the Continuous Wavelet Transform (CWT) method. The research sample included six advanced players from the Iraqi Elite League, aged (21.50 ±3.67) years, with a body mass of (80.50 ±11.71) kg, and a height of (189.00 ±7.75) cm. The research sample underwent a physical skill-exertion protocol that simulated the actual playing requirements of basketball, during which the electrical activity of the six selected muscles involved in performing the skill of shooting long-range three-point shots from outside the arc in the upper and lower limbs was measured. The anterior deltoid, the lateral triceps, the extensor carpi radialis, the flexor carpi radialis, the rectus femoris, and the lateral gastrocnemius represented these muscles. Forward fatigue was assessed in the three-point long-range shootingskill experienced before and after effort from low (15–45 Hz), through moderate (45–95 Hz) to high (95–400 Hz) frequency ranges. It was found that only one significant difference occurred in the rectus femoris muscle at high frequencies (p = 0.02, Cohen’s dz = 1.48), indicating significant neuromuscular fatigue associated with the muscle's high functional role in jumping, acceleration, deceleration, and while changing direction. The other muscles, however, did notdemonstrate statistically significant differences, although a small (to moderate) size of the traces was found, which could indicate that there has been reorganization of the neuromuscular activation strategy to compensate for performance. These results verify that CWT analysis is a sensitive and valid tool for dynamic, non-stationary, or cyclic sports activities, such as basketball, to estimate neuromuscular fatigue, and that it enhances understanding of task-specific muscle responses compared with other conventional spectral methods.
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Objective This study aimed to compare the biomechanics of three-point shooting between elite Iraqi basketball players and international players, in order to identify key biomechanical differences that may impact shooting performance. Methods A total of 80 male basketball players participated in the study (40 elite Iraqi players and 40 international elite players). Kinematic data were collected using advanced motion analysis systems, force plates, and high-speed video analysis. The measured variables included joint angles, angular velocity, release speed, ball release angle, and ground reaction forces during three-point shooting. Each player performed 20 consecutive shots under controlled conditions. Group comparisons were conducted using st
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The aim of the current research was to examine the correlation between neuromuscular coordination and setting and spiking skills of football tennis players. The researcher used the descriptive approach in investigating the relationship between neuromuscular coordination and setting and spiking skills. The sample of the research was selective and composed of 45 youth players of the Specialized Football Tennis School in Baghdad Province with age of 16 years and above. The research sample was subjected to the relevant tests and the results obtained analyzed statistically to establish whether there is a relationship between neuromuscular coordination and setting skill on the one hand and neuromuscular coordination and spiking skill on t
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In this paper, we propose a method using continuous wavelets to study the multivariate fractional Brownian motion through the deviations of the transformed random process to find an efficient estimate of Hurst exponent using eigenvalue regression of the covariance matrix. The results of simulations experiments shown that the performance of the proposed estimator was efficient in bias but the variance get increase as signal change from short to long memory the MASE increase relatively. The estimation process was made by calculating the eigenvalues for the variance-covariance matrix of Meyer’s continuous wavelet details coefficients.
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In this paper, we propose a method using continuous wavelets to study the multivariate fractional Brownian motion through the deviations of the transformed random process to find an efficient estimate of Hurst exponent using eigenvalue regression of the covariance matrix. The results of simulations experiments shown that the performance of the proposed estimator was efficient in bias but the variance get increase as signal change from short to long memory the MASE increase relatively. The estimation process was made by calculating the eigenvalues for the variance-covariance matrix of Meyer’s continuous wavelet details coefficients.
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In this paper, a method is proposed to increase the compression ratio for the color images by
dividing the image into non-overlapping blocks and applying different compression ratio for these
blocks depending on the importance information of the block. In the region that contain important
information the compression ratio is reduced to prevent loss of the information, while in the
smoothness region which has not important information, high compression ratio is used .The
proposed method shows better results when compared with classical methods(wavelet and DCT).
The present work covers the analytical design process of three dimensional (3-D) hip joint prosthesis with numerical fatigue stress analysis. The analytical generation equations describing the different stem constructive parts (ball, neck, tour, cone, lower ball) have been presented to reform the stem model in a mathematical feature. The generated surface has been introduced to FE solver (Ansys version 11) in order to simulate the induced dynamic stresses and investigate the effect of every design parameter (ball radius, angle of neck, radius of neck, neck ratio, main tour radius, and outer tour radius) on the max. equivalent stresses for hip prosthesis made from titanium alloy. The dynamic loading case has been studied to a stumbling ca
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In this paper, a handwritten digit classification system is proposed based on the Discrete Wavelet Transform and Spike Neural Network. The system consists of three stages. The first stage is for preprocessing the data and the second stage is for feature extraction, which is based on Discrete Wavelet Transform (DWT). The third stage is for classification and is based on a Spiking Neural Network (SNN). To evaluate the system, two standard databases are used: the MADBase database and the MNIST database. The proposed system achieved a high classification accuracy rate with 99.1% for the MADBase database and 99.9% for the MNIST database
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