scholarly journals ANALYSIS OF ULTRASOUND IMAGE BIOLOGICAL IMAGE ALGORITHM IN THE RESTORATION OF MUSCLE GROUP MOVEMENT FUNCTION

2021 ◽  
Vol 27 (4) ◽  
pp. 372-376
Author(s):  
Binghong Yan ◽  
Cheng Wang
Keyword(s):  
Muscle Group ◽  
Gabor Filtering ◽  
Manual Measurement ◽  
Filtering Algorithm ◽  
Group Movement ◽  
Motion Function ◽  
Group Motion ◽  
Movement Function ◽  
The Difference ◽  
Biological Image

ABSTRACT Objective: By studying the recognition effect of ultrasonic biological image data analysis on muscle group motion function, the evaluation value and significance of ultrasonic biomedical image combination algorithm on muscle group motion function are discussed. Methods: A Gabor filtering algorithm is proposed to smooth the original image. The MVEF algorithm is used to enhance the ultrasonic image and binary further the image again. Using the principle of the Hove transform, the thickness of the muscle is automatically estimated. Results: The square of correlation coefficients of the manual measurement method, Gabor filtering algorithm and MVEF algorithm are 91.3%, 91.3% and 87.8%, respectively. The difference between the manual measurement and the estimation based on the Gabor filtering algorithm is 1.45 ± 0.48mm. The difference between the results of manual measurement and the MVEF algorithm is 1.38 ± 0.56mm. The computation time of the MVEF algorithm and Gabor algorithm are 5 seconds and 0.3 seconds, respectively. Conclusions: The algorithm proposed in this study can effectively measure the muscle thickness, fast, convenient and accurate, and can reflect the contractility of skeletal muscle well, which is of great value for the recognition and evaluation of muscle group movement function. Level of evidence II; Therapeutic studies - investigation of treatment results.

CHANGES IN THE FLEXOR AND EXTENSOR MUSCLES AT DIFFERENT SPEEDS

2021 ◽  
Vol 27 (7) ◽  
pp. 686-688
Author(s):  
Rui Ma ◽  
Wenyan Li
Keyword(s):  
Knee Joint ◽  
Peak Torque ◽  
Muscle Group ◽  
Lower Limbs ◽  
Flexor Muscle ◽  
Level Of Evidence ◽  
Isokinetic Test ◽  
Extensor Muscles ◽  
Test Velocity ◽  
The Difference

ABSTRACT Introduction: Centrifugal strength is an important element for strength quality. Developing muscle centrifugal strength can effectively increase the stability of lower limbs and reduce the risk of injury. Objective: To explore the characteristics of contractile force of flexor ahods in strength training and rehabilitation training, and the extensor muscles of the knee joint in athletes with different speeds of centripetal force. Methods: The knee joint muscle group of 8 first-level male high jumpers and 8 second-level male high jumpers were tested by isokinetic centrifugal contraction; the angular test velocity was 60 °/s, 120 °/s, 240 °/s, and the indexes included peak torque, relative peak torque (peak torque/body weight), and the peak torque flexural extension ratio. Results: With the centrifugal contraction of the knee joint muscle group (P < 0.05), the second-level high jumpers should increase the ability of the knee flexor muscle group of the take-off leg. In the case of constant velocity centrifugal contraction (P < 0.01), taking off time must be reduced, that is, taking off speed must be accelerated. Conclusions: The difference in the knee joint muscle isokinetic test results is one of the reasons for the difference in knee joint flexor and extensor muscle contractility under the different speed forces of high jumpers. Level of evidence II; Therapeutic studies - investigation of treatment results.

scholarly journals State Space Modeling with Non-Negativity Constraints Using Quadratic Forms

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1908
Author(s):  
Ourania Theodosiadou ◽  
George Tsaklidis
Keyword(s):  
State Space ◽  
Quadratic Forms ◽  
Hidden Variables ◽  
State Space Model ◽  
Estimation Procedure ◽  
Positive Component ◽  
Filtering Algorithm ◽  
Space Model ◽  
Space Modeling ◽  
The Difference

State space model representation is widely used for the estimation of nonobservable (hidden) random variables when noisy observations of the associated stochastic process are available. In case the state vector is subject to constraints, the standard Kalman filtering algorithm can no longer be used in the estimation procedure, since it assumes the linearity of the model. This kind of issue is considered in what follows for the case of hidden variables that have to be non-negative. This restriction, which is common in many real applications, can be faced by describing the dynamic system of the hidden variables through non-negative definite quadratic forms. Such a model could describe any process where a positive component represents “gain”, while the negative one represents “loss”; the observation is derived from the difference between the two components, which stands for the “surplus”. Here, a thorough analysis of the conditions that have to be satisfied regarding the existence of non-negative estimations of the hidden variables is presented via the use of the Karush–Kuhn–Tucker conditions.

scholarly journals A methodology for processing raw LiDAR data to support urban flood modelling framework

2011 ◽  
Vol 14 (1) ◽  
pp. 75-92 ◽  
Author(s):  
A. F. Abdullah ◽  
Z. Vojinovic ◽  
R. K. Price ◽  
N. A. A. Aziz
Keyword(s):  
Lidar Data ◽  
Urban Flood ◽  
Flood Modelling ◽  
Filtering Algorithm ◽  
Modelling Framework ◽  
Significant Difference ◽  
Morphological Filtering ◽  
Recorded Data ◽  
The Difference ◽  
Urban Flood Modelling

An assessment has been carried out to study the performance of seven different LiDAR filtering algorithms and to evaluate their suitability for urban flood modelling applications. It was found that none of these algorithms can be regarded as fully suitable to support such work in its present form. The paper presents the augmentation of an existing Progressive Morphological filtering algorithm for processing raw LiDAR data to support a 1D/2D urban flood modelling framework. The existing progressive morphological filtering algorithm was modified to incorporate buildings with basement, passage buildings and solid buildings and its value was demonstrated on a case study from Kuala Lumpur, Malaysia. The model results were analysed and compared against recorded data in terms of flood depths, flood extents and flood velocities. The difference in flood depths of approximately 40% was observed between a model that uses a DTM modified by the progressive morphological filtering algorithm and the predictions of other models. The overall results suggest that incorporation of building basements within the DTM can lead to a significant difference in the model results with a tendency towards overestimation for those models which do not incorporate such a feature.

An Optional Gauss Filter Image Denoising Method Based on Difference Image Fast Fuzzy Clustering

2013 ◽  
Vol 411-414 ◽  
pp. 1348-1352 ◽  
Author(s):  
Xi Wen Liu ◽  
Chao Ying Liu
Keyword(s):  
Fuzzy Clustering ◽  
Original Image ◽  
Denoising Method ◽  
Filtering Algorithm ◽  
Difference Image ◽  
Image Histogram ◽  
Fcm Clustering ◽  
The Difference ◽  
Image Edges ◽  
Weighting Coefficients

Gaussian filtering algorithm has the defect that it will cause a blur at the image edges, therefore, an optional Gauss filter denoising method based on difference image fast fuzzy clustering is proposed. In this method, Gauss filtered image is firstly calculated, the difference image between the original image and the Gauss filtered image is acquired hereafter; and then fast FCM clustering of the Gauss filter image is carried out, the image histogram frequencies are taken as weighting coefficients of objective function when clustering, therefore the noise points of the original image are gotten; finally, optional Gauss filtering algorithm is applied to these noise points of the original image. Experiment results show that this method is fast and effective, its anti-disturbance performance is well, and it can effectively prevent edges from being blurred.

A Maximum-Minimum Filtering Algorithm Base on Threshold

2012 ◽  
Vol 236-237 ◽  
pp. 1101-1105
Author(s):  
Hong She Dang ◽  
Li Na Tian ◽  
Fang Zhang
Keyword(s):  
Signal To Noise Ratio ◽  
Filtering Algorithm ◽  
Average Value ◽  
Noise Point ◽  
Pixel Value ◽  
The Difference ◽  
Algorithm Base ◽  
Salt And Pepper ◽  
Image Detail ◽  
Maximum Minimum

In allusion to the contradiction between salt-and-pepper noise attenuation and image detail-preserving, a maximum-minimum filtering algorithm base on threshold is proposed in this paper. The gray values of the pixels in the filtering windows are given firstly. If the test pixel value is the extreme value of the filtering windows, this pixel is a suspicious noise point. And then sort the absolute value of the difference between the suspicious noise point value and pixels gray value in its neighborhood. Judge the pixel is a real noise point according to the average value of the middle two values in the difference sequence. The original gray value of noise point is determined by the maximum-minimum relationship between the pixel values of the neighborhood. If the pixel is not a noise point, its value is kept. The simulation results show that the proposed algorithm has greatly impact on signal to noise ratio and mean square error which retains more image details while making sure to remove noise.

scholarly journals EFFECT OF METABOLIC ENZYMES ON ACCELERATION ABILITY IN EXERCISE FATIGUE

2021 ◽  
Vol 27 (3) ◽  
pp. 257-261
Author(s):  
Yang Lu ◽  
Xiaoli Wang
Keyword(s):  
Adaptive Filtering ◽  
Metabolic Enzymes ◽  
Metabolic Enzyme ◽  
Treatment Results ◽  
Dynamic Information ◽  
Level Of Evidence ◽  
Filtering Algorithm ◽  
Exercise Fatigue ◽  
The Relationship ◽  
Biological Image

ABSTRACT Introduction Study the relationship between the metabolic enzyme and the biological image, filtered by an adaptive filtering algorithm. Objective The research aims to In this study, human metabolic enzymes were evaluated by electrocardiogram and electromyogram images, and an adaptive filtering algorithm removed the noises in the images. Methods The electrocardiogram and electromyogram images at different periods were obtained, and the calculation method and application scope of the adaptive filtering algorithm were analysed. Results Adaptive filter was designed by the combination of adaptive filtering algorithm and dynamic information. Therefore, the artefact of the image was removed. Conclusions The adaptive filtering algorithm can effectively remove the noise or artefact in electrocardiogram and electromyogram signals. The optimal image information can be obtained. Level of evidence II; Therapeutic studies - investigation of treatment results.

scholarly journals Application of Photogrammetry Technique for quarry stockpile estimation

2021 ◽  
Vol 920 (1) ◽  
pp. 012040
Author(s):  
M H Rohizan ◽  
A H Ibrahim ◽  
C Z C Abidin ◽  
F M Ridwan ◽  
R Ishak
Keyword(s):  
Comparative Study ◽  
Conventional Method ◽  
Aerial Images ◽  
Flying Height ◽  
Manual Measurement ◽  
The World ◽  
The Difference

Abstract The quarrying activities is one of the largest industries in the world which supplied aggregate primarily for construction of any buildings and structures. Continuous supply of aggregates is very important to ensure the construction activities can be carried out without delays. Hence, the quarry operators consistently monitor their stockpile volume to meet the client’s demands. In most cases, the determination of available stockpile at the quarry are done by utilizing conventional method (manual measurement of the stockpile’s dimension). This approach is time consuming and sometimes required professional surveyor to carry out the task. Hence in this work, a comparative study between conventional and photogrammetry method was done to estimate the stockpile in a quarry. Drone was flying to capture the aerial images of a stockpile in the quarry. The effect of the flying height and the percentage of overlapping on the accuracy of stockpile volume was studied. Result shows at lower percent of side overlap (50%), the accuracy of estimation is better. The difference between the photogrammetry technique and conventional method only 2.5%. It can be concluded that photogrammetry technique is very reliable to be applied by the quarry operators to estimate their stockpile volume.

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