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Journal articles on the topic 'Tendons Measurement Data processing'

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Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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1

Andreu-Suárez, Á., C. Guillén-Astete, and M. Tortosa-Cabañas. "AB1489 VALIDATION OF QUANTITATIVE COMPUTER ANALYSIS OF ULTRASOUND IMAGES OF THE ACHILLES AND PATELLAR TENDONS IN HEALTHY SUBJECTS." Annals of the Rheumatic Diseases 81, Suppl 1 (May 23, 2022): 1848.3–1849. http://dx.doi.org/10.1136/annrheumdis-2022-eular.5275.

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BackgroundThe ultrasound study of tendons is a component of the complementary evaluation of patients with different musculoskeletal pathologies, which include immune-mediated rheumatological diseases. Until now, the assessment of the ultrasound status of the tendons largely depends on the subjectivity of the explorer, following specific guidelines such as the fibers structure, their global echogenicity and their thickness. This evaluation is of great interest for the diagnose, however its role for the follow-up is not so clear as the subjective evaluation may not perceive subtle changes.Computerized image analysis has recently been introduced to complement the echographic evaluation. Two of the most useful parameters in this analysis are the mean and mode of gray intensities. Both allow a global evaluation of the echostructure of an organ based on the distribution of shades of gray and the highest concentration of a particular shade, without evaluating the organization pattern of the image obtained.ObjectivesTo determine if computer analysis of static images is valid and suitable for its use in the study of tendons.MethodsThe ultrasound images of healthy volunteers were analyzed. The analysed tendons were: the body of the patellar tendon in transverse approach and the longitudinal section of the Achilles tendon, both of them from the dominant side. Image processing was performed using the ImageJ 1.53e program (Wayne Rasband & contributors – NIH, USA). A gray spectrum analysis (0-255) was performed with the calculation of the mean, standard deviation (SD), range, median and mode. Two measurements of different cuts of the patellar tendon (at the point of emergence of the tibial plateau and 20 mm proximal to it) and three longitudinal cuts of 20 mm of the Achilles tendon (paramedial, central and paralateral) were used for the validation process of the analysis carried out by the software.ResultsImages from 44 healthy volunteers were analyzed: 20 men and 24 women. 44 Achilles tendon image trios and 44 patellar tendon image pairs were analyzed and their corresponding means and modes were compared as related variables. In the study of the Achilles tendon, according to the Shapiro-Wilk test, the distribution of the gray distribution means had a non-normal distribution while the modes had a normal distribution. The means ± standard deviation of gray intensity was: 80.15 ± 26.04, 80.05 ± 25.57 and 79.91 ± 25.83 for the medial, central and lateral slices, respectively (Friedman, P=.454; Bonferroni not applicable). The means of the modes of gray intensities for the same measures were 67.35 ± 31.60, 67.76 ± 32.18 and 68 ± 32.18, respectively (ANOVA paired data, P=.259; Bonferroni not applicable). In the patellar tendon study, all measurement distributions were non-normal. Mean gray intensity at the point of tendon emergence (P) was 81.35 ± 29.63 and at 20mm proximal to this point it was 80.97 ± 29.08 (Wilcoxon, P=.327). The means of the modes at the same locations were 82.71 ± 28.75 and at 20mm proximal to this point it was 64.44 ± 33.31 (Wilcoxon, P=.079).Figure 1.Image analysis of an Achilles tendon in the central longitudinal plane.ConclusionThe quantitative analysis of static images of healthy tendons shows no differences between the same structures in longitudinal or transverse planes.Based on this validation test, the demonstration of sensitivity to change caused by any stimulus (sport, noxae or treatments) could allow its use as a complementary instrument for the assessment of tendinous structures over time.Disclosure of InterestsÁfrica Andreu-Suárez: None declared, Carlos Guillén-Astete Speakers bureau: Novartis, Janssen, Abbvie, Grunenthal, UCB, Gebro, Paid instructor for: Roche, Novartis, Janssen, Esteve, Menarini, Consultant of: Janssen, Novartis, Roche, Grant/research support from: Pfizer, Grunenthal, Gebro, Novartis, Marina Tortosa-Cabañas: None declared
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2

Guo, Bin, Dongdong Chen, Linsheng Huo, and Gangbing Song. "Monitoring of Grouting Compactness in Tendon Duct Using Multi-Sensing Electro-Mechanical Impedance Method." Applied Sciences 10, no. 6 (March 16, 2020): 2018. http://dx.doi.org/10.3390/app10062018.

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The structural integrity of post-tensioning prestressed concrete structures with tendon ducts highly depends on the grouting quality in construction. This paper proposes a real-time approach to monitoring the grouting compactness in tendon ducts using the multi-sensing electro-mechanical impedance (EMI) method. When Lead Zirconate Titanate (PZT) transducers with different pre-selected dimensions are serially connected and mounted on a structure at distributed locations, each PZT provides unique resonance frequency coupled with the local structural physical property. Therefore, the impedance with multiple peaks of the serially connected multiple PZTs can be captured during a single measurement, which significantly simplifies the measurement procedure and reduces the data processing time. In addition, the wiring for the PZT sensors is also simplified. In this research, the feasibility of the proposed method was experimentally and numerically investigated to monitor the grouting compactness in a tendon duct specimen. The 3-dB mean absolute percentage deviation (MAPD) was applied to quantify the variations of the impedance signatures measured from five different grouting levels. Both experimental and numerical results verify the feasibility of using the proposed method for monitoring the grouting compactness in tendon ducts.
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3

Nakajima, Tomotaka, Richard E. Hughes, and Kai-Nan An. "VALIDATION OF MRI-BASED MEASUREMENTS OF SUPRASPINATUS MORPHOLOGY." Journal of Musculoskeletal Research 07, no. 01 (March 2003): 15–23. http://dx.doi.org/10.1142/s021895770300096x.

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The goal of this study was to visualize the supraspinatus tendon three-dimensionally using fast spin-echo (FSE) MRI and validate the accuracy of measuring the dimensions of the supraspinatus tendon based on 3D reconstructed images. Nine cadaver shoulders (51–84 y/o, mean 70.0 y/o) were imaged at conventional T2-weighted spin-echo (CSE), gradient echo (GRE), and 3D T2-weighted FSE sequences. Each "object" of the supraspinatus muscle, tendon and scapula was three-dimensionally reconstructed using ANALYZE™ image data processing software. The FSE images revealed significantly higher contrast of the tendon and contrast-to-noise ratios of the fat-to-tendon and fat-to-muscle. The length of the anterior, middle, and posterior portions of the tendon were measured in two ways: (1) from the three-dimensional reconstructed images, and (2) directly from the cadaver specimen using calipers. No statistically significant differences were found between the ANALYZE™ and caliper measurements using a paired t-test for the anterior (p = 0.55), middle (p = 0.57) and posterior (p = 0.44) portions of the supraspinatus. The 3D FSE sequence exhibits higher spatial resolution, spends shorter acquisition time, and constructs a voxel data set. These advantages can prevent blurring artifacts when imaging the supraspinatus tendon of a human body. Tendon length measurements derived from three-dimensional reconstructions using ANALYZE™ were found to be good estimates of actual tendon length. Therefore, the combination of FSE sequence and 3D image data processing provides a method for noninvasive quantitative analysis of supraspinatus tendon morphology. The results lay the groundwork for future quantitative studies of cuff pathology.
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4

KAWATA, Satoshi, and Shigeo MINAMI. "Data processing in spectroscopic measurement." Journal of the Spectroscopical Society of Japan 35, no. 1 (1986): 24–41. http://dx.doi.org/10.5111/bunkou.35.24.

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5

Fowler, Kim. "Data processing in measurement instrumentation." IEEE Instrumentation and Measurement Magazine 9, no. 6 (December 2006): 36–42. http://dx.doi.org/10.1109/mim.2006.250649.

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6

Weber, J. F., A. M. R. Agur, A. Y. Fattah, K. D. Gordon, and M. L. Oliver. "Tensile mechanical properties of human forearm tendons." Journal of Hand Surgery (European Volume) 40, no. 7 (May 4, 2015): 711–19. http://dx.doi.org/10.1177/1753193415584715.

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Previous studies of the mechanical properties of tendons in the upper limb have used embalmed specimens or sub-optimal methods of measurement. The aim of this study was to determine the biomechanical properties of all tendons from five fresh frozen cadaveric forearms using updated methodology. The cross-sectional area of tendons was accurately measured using a laser reflectance system. Tensile testing was done in a precision servo-hydraulic device with cryo-clamp fixation. We determined that the cross-sectional area of some tendons is variable and directly influences the calculated material properties; visual estimation of this is unreliable. Data trends illustrate that digital extensor tendons possess the greatest tensile strength and a higher Young’s modulus than other tendon types.
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7

Melichar, Martin, and Dana Kubátová. "Processing Data from Automatic Measurement Device." Procedia Engineering 100 (2015): 899–906. http://dx.doi.org/10.1016/j.proeng.2015.01.447.

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8

Müller-Trapet, Markus, and Michael Vorländer. "Signal processing for hemispherical measurement data." Journal of the Acoustical Society of America 133, no. 5 (May 2013): 3525. http://dx.doi.org/10.1121/1.4806341.

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9

Fateev, V. F., and A. P. Aleshkin. "Processing of multiple-site optical measurement data." Journal of Optical Technology 67, no. 7 (July 1, 2000): 634. http://dx.doi.org/10.1364/jot.67.000634.

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10

Maack, Stefan, Stefan Küttenbaum, and Ernst Niederleithinger. "Practical procedure for the precise measurement of geometrical tendon positions in concrete with ultrasonic echo." MATEC Web of Conferences 364 (2022): 03008. http://dx.doi.org/10.1051/matecconf/202236403008.

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Existing concrete structures were usually designed for lifetimes of several decades. The current and urgently required efforts to increase sustainability and protect the environment will likely result in extended service lives up to 100 years. To achieve such objectives, it is required to assess structures over their entire lifecycles. Non-destructive testing (NDT) methods can reliably support the assessment of existing structures during the construction, operational, and decommissioning phases. One of the most important and safety-relevant components of a prestressed concrete structure are the tendons. NDT methods such as the ultrasonic echo method are suitable for both the detection and the localization of the tendons, i.e., the measurement of their geometrical position inside the component. The uniqueness of structures, concrete heterogeneity, and varying amounts of secondary components such as the reinforcement represent obstacles in the application of these methods in practice. The aim of this contribution is to demonstrate a practicable procedure, that can be used in the field to determine the parameters required for the measuring data analysis without extensive knowledge about the investigated components. For this purpose, a polyamide reference specimen is used to show which steps are required to obtain reliable imaging information on the position of tendons from the measurement data. The procedure is then demonstrated on a concrete test specimen that covers various relevant and practice-oriented test scenarios, such as varying tendon depths and component thicknesses.
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11

SHIGETOSHI, Kenji, Yuusuke MORINO, Fumiaki TAKEMURA, Tadao ISAKA, and Sadao KAWAMURA. "452 The approach to real-time measurement of the activity of muscles and tendons using ultrasonic image processing." Proceedings of the Dynamics & Design Conference 2003 (2003): _452–1_—_452–4_. http://dx.doi.org/10.1299/jsmedmc.2003._452-1_.

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12

Siraya, T. N. "Methods of measurement data processing and metrological models." Izmeritel`naya Tekhnika, no. 1 (2018): 9–14. http://dx.doi.org/10.32446/0368-1025it.2018-1-9-14.

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13

Ishii, Hiromitsu, Takashi Ono, Tetsuya Igarashi, Akihiro Takashima, Yasuhiro Kodaira, and Pin Kan. "Measurement of stratum by color data processing (I)." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 76, Appendix (1992): 166. http://dx.doi.org/10.2150/jieij1980.76.appendix_166.

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14

Wu, Peizhi, Tianhai Liu, Mingyong Lu, Yan Xiong, Leyin Hu, Pingfa Zhang, Jiannong Wen, Hong Ji, and Gang Feng. "Unequally Interval Data Processing Across Fault Deformation Measurement." Earth Sciences 11, no. 2 (2022): 29. http://dx.doi.org/10.11648/j.earth.20221102.11.

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15

Cheng, Liang, and Ling Tong. "Measurement data processing based on maximum entropy method." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 2009, no. 1 (January 5, 2010): 47–51. http://dx.doi.org/10.3724/sp.j.1187.2009.01047.

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16

Chen Tian, 陈田. "Data Processing Methodology for Laser Measurement Point Cloud." Laser & Optoelectronics Progress 48, no. 9 (2011): 091202. http://dx.doi.org/10.3788/lop48.091202.

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17

Heydt, G. T., and E. Gunther. "Post-Measurement Processing of Electric Power Quality Data." IEEE Power Engineering Review 16, no. 10 (October 1996): 56. http://dx.doi.org/10.1109/mper.1996.4311028.

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18

Morawski, Roman Z. "Measurement Data Processing in Spectrophotometric Analysers of Food." Metrology and Measurement Systems 19, no. 4 (December 1, 2012): 623–52. http://dx.doi.org/10.2478/v10178-012-0056-1.

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Abstract Spectrometry, especially spectrophotometry, is getting more and more often the method of choice not only in laboratory analysis of (bio)chemical substances, but also in the off-laboratory identification and testing of physical properties of various products, in particular - of various organic mixtures including food products and ingredients. Specialised spectrophotometers, called spectrophotometric analysers, are designed for such applications. This paper is on the state of the art in the domain of data processing in spectrophotometric analysers of food (including beverages). The following issues are covered: methodological background of food analysis, physical and metrological principles of spectrophotometry, the role of measurement data processing in spectrophotometry. General considerations are illustrated with examples, predominantly related to wine and olive oil analysis.
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19

Sadkova, O. V., and S. M. Nikulin. "Processing of measurement data in six-port reflectometry." Measurement Techniques 42, no. 12 (December 1999): 1116–19. http://dx.doi.org/10.1007/bf02512101.

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20

Fedotov, A. V., and A. N. Kompaneits. "Inductive measurement device with a data-processing unit." Measurement Techniques 29, no. 2 (February 1986): 82–83. http://dx.doi.org/10.1007/bf00868821.

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21

Li, Fan Xiu, Xing Ping Wen, and Shao Jin Yi. "Numerical Measurement and Data Processing of Air Pollution." Applied Mechanics and Materials 577 (July 2014): 1219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.577.1219.

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Relational analysis method was a data process method used to sort out the correlation extent of effect factors in a system with uncertain information. Common mathematical methods were not applicable for describing the relationship. A new method, equivalent numerical relational degree (ENRD) model was developed to evaluate the effect of different factors on air pollution. The effects of different factors-the port throughput, amount of coal, industrial output, and motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area on the quality of atmospheric environment were studied. The degrees of correlation were calculated according to ENRD and the values of the port throughput, amount of coal, industrial output, motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area were 0.7947, 0.7943, 0.7289, 0.7238, 0.6702 and 0.6527, respectively. From these values, the relations of these factors to the quality of atmospheric environment could be described and evaluated, and the port throughput and amount of coal were relatively major.
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22

Heydt, G. T., and E. Gunther. "Post-measurement processing of electric power quality data." IEEE Transactions on Power Delivery 11, no. 4 (1996): 1853–59. http://dx.doi.org/10.1109/61.544267.

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23

Matveev, Al A., and A. A. Matveev. "Algorithmic software for the processing of measurement data." Measurement Techniques 32, no. 1 (January 1989): 1–7. http://dx.doi.org/10.1007/bf00863627.

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24

Tarbeev, Yu V., I. B. Chelpanov, and T. N. Siraya. "Metrological certification of algorithms for measurement-data processing." Measurement Techniques 28, no. 3 (March 1985): 205–8. http://dx.doi.org/10.1007/bf00861980.

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25

Kobayashi, Saburo, and Masanori Tokuda. "Data processing of spectral radiation for temperature measurement." Thermochimica Acta 92 (September 1985): 403–6. http://dx.doi.org/10.1016/0040-6031(85)85901-3.

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26

Isaev, A. B. "Confluent-analysis algorithm for processing measurement data in calibrating means of measurement." Measurement Techniques 33, no. 6 (June 1990): 537–42. http://dx.doi.org/10.1007/bf00977908.

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27

Dudley, R. A., P. Edwards, R. P. Ekins, D. J. Finney, I. G. McKenzie, G. M. Raab, D. Rodbard, and R. P. Rodgers. "Guidelines for immunoassay data processing." Clinical Chemistry 31, no. 8 (August 1, 1985): 1264–71. http://dx.doi.org/10.1093/clinchem/31.8.1264.

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Abstract These guidelines outline the minimum requirements for a data-processing package to be used in the immunoassay laboratory. They include recommendations on hardware, software, and program design. We outline the statistical analyses that should be performed to obtain the analyte concentrations of unknown specimens and to ensure adequate monitoring of within- and between-assay errors of measurement.
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28

Duan, Qi Qing, and Rui Hai Wu. "Visual Processing of the River Cross-Sectional Data." Applied Mechanics and Materials 204-208 (October 2012): 2726–30. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2726.

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The cross-section of Hydraulic engineering (river, embankment) is a kind of cross section which is always perpendicular to the river direction. Section line is a straight line which is created by connecting two endpoint of the section. Cross-section measurements is that collecting a coordinate point (X, Y, H) on the section line every a certain distance. Field measurement, due to the influence of the external environment, especially when measured in the river, is difficult to ensure that the location of the measurement point exactly on the straight line shown in the section. The reason is that tracking ship traveling along with the section will be impacted by the water, resulting in the offset along the flow direction. Therefore we must to constantly adjust the direction of travel in the measurement process. For which the measurement data should be processed. So it is necessary to deal with the measurement data, and the idea of visual data was proposed in the paper, which is easier to analyze the accuracy of the measurement data. The BUFFER analysis method was used in the data processing, which effectively removed measurement invalid point that far away from the cross-section in measurement and improved the accuracy of the cross-section data processing. On the other hand, the effective pedal point coordinates was used in the calculation of the plane location of cross-section point. The coordinate which can make the cross-section data more realistic and different from the translation of point and uniform distribution algorithm closeted to the effective point of measurement. The method that the elevation of pedal point on the cross section calculated using the distance weighted interpolation method has been applied in the measurement process of several rivers. It is proved in practice that the method got good results and achieved the accuracy of the data and quality which the application sector requirements on.
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29

Lee, Wongi, Hyoyeon Lee, Jaeun Yoo, and Dojun Youm. "Data processing technique for data measured in MO image measurement system." Progress in Superconductivity and Cryogenics 15, no. 1 (March 31, 2013): 25–28. http://dx.doi.org/10.9714/psac.2013.15.1.025.

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30

Li Fei, 李菲, 吴毅 Wu Yi, and 侯再红 Hou Zaihong. "Data processing of scintillation index measurement in real atmosphere." High Power Laser and Particle Beams 24, no. 6 (2012): 1349–52. http://dx.doi.org/10.3788/hplpb20122406.1349.

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31

Mrówczyńska, Maria, and Jacek Sztubecki. "Measurement Data Processing with the Use of Art Networks." Civil and Environmental Engineering Reports 28, no. 2 (June 1, 2018): 186–95. http://dx.doi.org/10.2478/ceer-2018-0029.

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Abstract ART (Adaptive Resonance Theory) networks were invented in the 1990s as a new approach to the problem of image classification and recognition. ART networks belong to the group of resonance networks, which are trained without supervision. The paper presents the basic principles for creating and training ART networks, including the possibility of using this type of network for solving problems of predicting and processing measurement data, especially data obtained from geodesic monitoring. In the first stage of the process of creating a prediction model, a preliminary analysis of measurement data was carried out. It was aimed at detecting outliers because of their strong impact on the quality of the final model. Next, an ART network was used to predict the values of the vertical displacements of points of measurement and control networks stabilized on the inner and outer walls of an engineering object.
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Zhiyong, GUO, WU Pan, XU Wei, and MENG Xiaoping. "Data acquisition and processing for UCNPs fluorescence lifetime measurement." Journal of Applied Optics 40, no. 4 (2019): 563–69. http://dx.doi.org/10.5768/jao201940.0401006.

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33

Zhong, Yongmin. "Processing of 3D Unstructured Measurement Data for Reverse Engineering." International Journal of Intelligent Mechatronics and Robotics 1, no. 2 (April 2011): 42–51. http://dx.doi.org/10.4018/ijimr.2011040104.

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One of the most difficult problems in reverse engineering is the processing of unstructured data. NURBS (Non-uniform Rational B-splines) surfaces are a popular tool for surface modeling. However, they cannot be directly created from unstructured data, as they are defined on a four-sided domain with explicit parametric directions. Therefore, in reverse engineering, it is necessary to process unstructured data into structured data which enables the creation of NURBS surfaces. This paper presents a methodology to processing unstructured data into the structured data for creating NURBS surfaces. A projection based method is established for constructing 3D triangulation from unstructured data. An optimization method is also established to optimize the 3D triangulation to ensure that the resulted NURBS surfaces have a better form. A triangular surface interpolation method is established for constructing triangular surfaces from the triangulation. This method creates five-degree triangular surfaces with C1 continuity. A series of segment data are obtained by cutting the triangular surfaces with a series of parallel planes. Finally, the structured data is obtained by deleting repetitive data points in each segment data. Results demonstrate the efficacy of the proposed methodology.
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34

Yan, Ruqiang, Rui Zhao, and Robert Gao. "Noise-assisted data processing in measurement science: Part two." IEEE Instrumentation & Measurement Magazine 15, no. 6 (December 2012): 32–35. http://dx.doi.org/10.1109/mim.2012.6365542.

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35

李, 敏. "Discussion on Teaching of “GPS Measurement and Data Processing”." Geomatics Science and Technology 02, no. 01 (2014): 6–8. http://dx.doi.org/10.12677/gst.2014.21002.

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Parushkin, MD, SV Panov, VM Semibalamut, and YuN Fomin. "Empirical mode decomposition method in deformation measurement data processing." IOP Conference Series: Earth and Environmental Science 134 (March 2018): 012043. http://dx.doi.org/10.1088/1755-1315/134/1/012043.

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Sun, Yinlong. "Spectral Measurement and Data Processing of Textile Surface Reflection." Research Journal of Textile and Apparel 11, no. 4 (November 2007): 1–30. http://dx.doi.org/10.1108/rjta-11-04-2007-b001.

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38

Hodouin, Daniel, Azar Mirabedini, Sami Makni, and Claude Bazin. "Reconciliation of mineral processing data containing correlated measurement errors." International Journal of Mineral Processing 54, no. 3-4 (August 1998): 201–15. http://dx.doi.org/10.1016/s0301-7516(98)00012-x.

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39

Surovtsev, I. V., and S. K. Galimov. "Data Processing Algorithm of Concentration Measurement by Method Chronoionometry." Upravlâûŝie sistemy i mašiny, no. 2 (262) (April 2016): 85–91. http://dx.doi.org/10.15407/usim.2016.02.085.

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Bito, Yoshitaka, Kensuk Sekihara, and Ryuichi Suzuki. "5297033 Data processing method in nuclear magnetic resonance measurement." Magnetic Resonance Imaging 13, no. 1 (January 1995): XVII. http://dx.doi.org/10.1016/0730-725x(95)90070-l.

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41

Gurin, M. V., and A. A. Venediktov. "Evaluation of the bovine tendon decellularization method in the development of a cruciate ligament prosthesis." Transplantologiya. The Russian Journal of Transplantation 12, no. 4 (December 11, 2020): 286–94. http://dx.doi.org/10.23873/2074-0506-2020-12-4-286-294.

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Introduction. Ligaments play a critical role in the body, linking bones together. Ligament ruptures are the most common manifestations of serious musculoskeletal injuries. This is especially true for the anterior cruciate ligament of the knee joint. In trauma surgery, orthopedics, the ligament functional recovery can be achieved by using tissue autografting, synthetic and biological prostheses. Of great interest to surgeons is the use of prostheses made of biological tissues of animal origin, since they are easily available and, when high-quality processing is achieved, they are safe, retaining their natural structure and strength. Purpose of the study. To decellularize the bovine tendon according to our originally developed technique and to investigate its efficacy in terms of the presence of cellular elements and physical and mechanical parameters of the material. Material and methods. To manufacture the prototype of the ligament prosthesis product, we developed the technique for processing the bovine tendon, as the most similar material by structure, including its mechanical processing, chemical and physical processing methods and a special treatment with supercritical carbon dioxide fluid containing nonionic surfactant Tween-80 for decellularization and extraction of organic components in addition to collagen framework, while maintaining strength properties. Histological studies were performed to check for the residues of cellular elements, and the measurements of the physical and mechanical properties of the material were made. Results. Histological examination of the material showed that after processing, 0–2 cells in the field of view were found in the material. The strength properties of the material were 503 kgf/mm2 before processing and 605 kgf/mm2 after processing. Conclusion. The data obtained in the study confirmed that the processing performed qualitatively affected the elimination of cells, did not worsen but even increased the mechanical strength of the material. Further study of the biocompatible properties of the material is required.
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Yin, Nai-Hao, Anthony W. Parker, Pavel Matousek, and Helen L. Birch. "Detection of Age-Related Changes in Tendon Molecular Composition by Raman Spectroscopy—Potential for Rapid, Non-Invasive Assessment of Susceptibility to Injury." International Journal of Molecular Sciences 21, no. 6 (March 20, 2020): 2150. http://dx.doi.org/10.3390/ijms21062150.

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The lack of clinical detection tools at the molecular level hinders our progression in preventing age-related tendon pathologies. Raman spectroscopy can rapidly and non-invasively detect tissue molecular compositions and has great potential for in vivo applications. In biological tissues, a highly fluorescent background masks the Raman spectral features and is usually removed during data processing, but including this background could help age differentiation since fluorescence level in tendons increases with age. Therefore, we conducted a stepwise analysis of fluorescence and Raman combined spectra for better understanding of the chemical differences between young and old tendons. Spectra were collected from random locations of vacuum-dried young and old equine tendon samples (superficial digital flexor tendon (SDFT) and deep digital flexor tendon (DDFT), total n = 15) under identical instrumental settings. The fluorescence-Raman spectra showed an increase in old tendons as expected. Normalising the fluorescence-Raman spectra further indicated a potential change in intra-tendinous fluorophores as tendon ages. After fluorescence removal, the pure Raman spectra demonstrated between-group differences in CH2 bending (1450 cm−1) and various ring-structure and carbohydrate-associated bands (1000–1100 cm−1), possibly relating to a decline in cellular numbers and an accumulation of advanced glycation end products in old tendons. These results demonstrated that Raman spectroscopy can successfully detect age-related tendon molecular differences.
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43

Majoros, Tamás, Balázs Ujvári, and Stefan Oniga. "EEG data processing with neural network." Carpathian Journal of Electronic and Computer Engineering 12, no. 2 (December 1, 2019): 33–36. http://dx.doi.org/10.2478/cjece-2019-0014.

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Abstract Machine-learning techniques allow to extract information from electroencephalographic (EEG) recordings of brain activity. By processing the measurement results of a publicly available EEG dataset, we were able to obtain information that could be used to train a feedforward neural network to classify two types of volunteer activities with high efficiency.
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44

Iyer, Shivprakash, Andrea J. Schokker, and Sunil K. Sinha. "Ultrasonic C-Scan Imaging: Preliminary Evaluation for Corrosion and Void Detection in Posttensioned Tendons." Transportation Research Record: Journal of the Transportation Research Board 1827, no. 1 (January 2003): 44–52. http://dx.doi.org/10.3141/1827-06.

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Corrosion of the nation’s transportation infrastructure is a widespread and costly problem. The most prevalent durability issue in reinforced concrete structures is chloride-induced corrosion of the reinforcing steel. A reliable method of determining grout voids and corrosion levels in posttensioned bridge structures is needed. Traditional techniques of corrosion monitoring (e.g., half-cell potential and corrosion rate measurement) are problematic when used in this type of structure, as are standard nondestructive evaluation (NDE) methods, such as impact echo. C-scan imaging, an ultrasonic technique used primarily in the composites industry for detecting delamination, is examined as a method of evaluating grouted posttensioned tendons. This method exhibits many promising qualities: it can be used for internal or external tendons and on metal or plastic ducts; access to only one side of a specimen is required; strong imaging allows easy interpretation of results; the technique poses no risk to users or the environment; and the method has strong potential for development as a handheld field tool. The C-scan technique may be valuable for the investigation of not only posttensioning applications but other types of reinforced concrete structures as well. Results of preliminary investigations on lab specimens indicate that the C-scan technique holds promise. The ultimate goal of the research is to provide a user-friendly, robust system for the NDE of posttensioned tendons for voids, corrosion, and wire breaks. Recommendations for optimal acquisition and processing techniques as well as for the future development of the equipment as a field tool are proposed.
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45

Wei, Wei, Chongshi Gu, and Xiao Fu. "Processing Method of Missing Data in Dam Safety Monitoring." Mathematical Problems in Engineering 2021 (July 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/9950874.

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A large amount of data obtained by dam safety monitoring provides the basis to evaluate the dam operation state. Due to the interference caused by equipment failure and human error, it is common or even inevitable to suffer the loss of measurement data. Most of the traditional data processing methods for dam monitoring ignore the actual correlation between different measurement points, which brings difficulties to the objective diagnosis of dam safety and even leads to misdiagnosis. Therefore, it is necessary to conduct further study on how to process the missing data in dam safety monitoring. In this study, a data processing method based on partial distance combining fuzzy C-means with long short-term memory (PDS-FCM-LSTM) was proposed to deal with the data missing from dam monitoring. Based on the fuzzy clustering performed for the measurement points of the same category deployed on the dam, the membership degree of each measurement point to cluster center was described by using the fuzzy C-means clustering algorithm based on partial distance (PDS-FCM), so as to determine the clustering results and preprocess the missing data of corresponding measurement points. Then, the bidirectional long short-term memory (LSTM) network was applied to explore the pattern of changes of measurement values under identical clustering conditions, thus processing the data missing from monitoring effectively.
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46

Chu, Christopher, J. Benjamin Jackson, and Kevin Williams. "Normal Ultrasonographic Parameters of the Posterior Tibial, Peroneal, and Achilles Tendons." Foot & Ankle Orthopaedics 2, no. 3 (September 1, 2017): 2473011417S0001. http://dx.doi.org/10.1177/2473011417s000142.

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Category: Ankle, Hindfoot, Imaging- Ultrasound Introduction/Purpose: Tendinopathy of the foot and ankle is common and can progress to become incapacitating. The most frequently affected tendons in the foot and ankle are the posterior tibial, peroneal, and Achilles. Studies have found a lifetime incidence of 5.9% in sedentary people and as high as 52% in athletes for Achilles tendinopathy. Previous studies demonstrated that ultrasound (US) of the soft tissues of the foot and ankle is a highly effective tool that can evaluate nearly every anatomical structure. Its lack of ionizing radiation, low cost, and painless nature make it a viable tool for foot and ankle evaluation. We sought to utilize US to determine normal values for the Achilles, peroneal, and posterior tibial tendons in patients presenting to the foot and ankle clinic. Methods: Patients were evaluated prospectively via a standardized US examination protocol from 2015-2016. Subjects who agreed to participate received a bilateral lower extremity ultrasound performed by a musculoskeletal ultrasonographer of the posterior tibial, peroneus longus, peroneus brevis, and Achilles tendons. Images were obtained in both the transverse and longitudinal axes above and below the malleoli and saved for analysis and measurement calculations. When indicated, color flow Doppler was utilized to assess for hyperemia and recorded. The imaging for each tendon was acquired with the patients in standardized positions on the examining table. Results: A total of 200 patients with 400 extremities were identified, consented, and participated in the study. Measurements for each patient were recorded above and below the malleoli for each tendon. Most tendons demonstrated a normal distribution as illustrated in the representative Figure 1 of the peroneus brevis above the lateral malleolus. Values and distributions curves were similarly calculated for each tendon at each point of measurement. Patients with suspected tendinopathy frequently had an increase of two standard deviations above the mean. Conclusion: This is the largest studies to characterize the measurements of the posterior tibial tendon, Achilles, and peroneal tendons in patients that present to a foot and ankle clinic. This baseline data can assist clinicians in their diagnostic ability with US. Given its low cost, lack of ionizing radiation and dynamic ability along with an improved understanding of normative data it will likely become an increasingly utilized diagnostic modality.
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Serysheva, Irina, and Yuri Khrustalev. "Adaptive time series models in the measurement data processing systems." Science Bulletin of the Novosibirsk State Technical University, no. 1 (March 20, 2019): 107–24. http://dx.doi.org/10.17212/1814-1196-2019-1-107-124.

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MATSUZAKI, Mitsuo, Takatoshi TAKEMOTO, Masanori ARITOMI, Hiroshi AKATSUKA, and Yuzuru YOSHIOKA. "Measurement Technique of Slug Flow Characteristics Using Image Data Processing." Journal of the Visualization Society of Japan 19, Supplement1 (1999): 393–96. http://dx.doi.org/10.3154/jvs.19.supplement1_393.

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MATSUZAKI, Mitsuo, Takatoshi TAKEMOTO, Masanori ARITOMI, Hiroshi AKATSUKA, and Yuzuru YOSHIOKA. "Measurement Technique of Slug Flow Characteristics Using Image Data Processing." Journal of the Visualization Society of Japan 19, Supplement1 (1999): 397–400. http://dx.doi.org/10.3154/jvs.19.supplement1_397.

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50

Ma, Xiaoya, Zhaoqian Gong, Feng Zhang, Shun Wang, Xiaojun Liu, and Guangyou Fang. "An Automatic Drift-Measurement-Data-Processing Method with Digital Ionosondes." Remote Sensing 14, no. 19 (September 21, 2022): 4710. http://dx.doi.org/10.3390/rs14194710.

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Drift detection is one of the important detection modes in a digital ionosonde system. In this paper, a new data processing method is presented for boosting the automatic and high-quality drift measurement, which is helpful for long-term ionospheric observation, and has been successfully applied to the Chinese Academy of Sciences, Digital Ionosonde (CAS-DIS). Based on Doppler interferometry principle, this method can be successively divided into four constraint steps: extracting the stable echo data; restricting the ionospheric detection region; extracting the reliable reflection cluster, including Doppler filtering and coarse clustering analysis; and calculating the drift velocity. Ordinary wave (O-wave) data extraction, complementary code pulse compression and other data preprocessing techniques are used to improve the signal-to-noise ratio (SNR) of echo data. For the purpose of eliminating multiple echoes, the ionospheric region is determined by combining the optimal height range and detection frequencies obtained from the ionogram. Successively, Doppler filtering and coarse clustering analysis extract reliable reflection clusters. Finally, the weighting factor is brought in, and then weighted least-squares (WLS) is used to fit the drift velocity. The entire data processing process can be implemented automatically without constantly changing parameter settings due to changes in external conditions. This is the first time coarse clustering analysis has been used to extract the paracentral reflection cluster to eliminate scattered reflection points and outer reflection clusters, which further reduces the impacts of external conditions on parameter settings and improves the ability of automatic drift measurement. Compared with the previous method possessed by Digisonde Protable Sounder 4D (DPS4D), the new method can achieve comparable drift detection precision and results even with fewer reflection points. In 2021–2022, several experiments on F region drift detection were carried out in Hainan, China. Results indicate that drift velocities fitted by the new method have diurnal variation and change more gently; the trends of drift velocities fitted by the new method and the previous method are semblable; and this new method can be widely applied to digital ionosondes.
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