Three-dimensional measurement of tip position of catheter in ultrasound volume through time-series analysis of microbubble dispersion

2019 ◽  
Author(s):  
Kosuke Kanda ◽  
Tatsuya Saito ◽  
Hidetaka Ushimizu ◽  
Kohji Masuda ◽  
Shin Enosawa
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Three Dimensional ◽  
Dimensional Measurement ◽  
Series Analysis ◽  
Three Dimensional Measurement ◽  
Tip Position

scholarly journals PRECISIONS MEASUREMENT FOR THE GRASP OF WELDING DEFORMATION AMOUNT OF TIME SERIES FOR LARGE-SCALE INDUSTRIAL PRODUCTS

2015 ◽  
Vol XL-4/W5 ◽  
pp. 153-157
Author(s):  
R. Abe ◽  
K. Hamada ◽  
N. Hirata ◽  
R. Tamura ◽  
N. Nishi
Keyword(s):  
Time Series ◽  
Quality Management ◽  
Construction Industry ◽  
Large Scale ◽  
Three Dimensional ◽  
Measurement Data ◽  
Welding Deformation ◽  
Dimensional Measurement ◽  
Three Dimensional Measurement ◽  
Deformation Amount

As well as the BIM of quality management in the construction industry, demand for quality management of the manufacturing process of the member is higher in shipbuilding field. The time series of three-dimensional deformation of the each process, and are accurately be grasped strongly demanded. In this study, we focused on the shipbuilding field, will be examined three-dimensional measurement method. The shipyard, since a large equipment and components are intricately arranged in a limited space, the installation of the measuring equipment and the target is limited. There is also the element to be measured is moved in each process, the establishment of the reference point for time series comparison is necessary to devise. In this paper will be discussed method for measuring the welding deformation in time series by using a total station. In particular, by using a plurality of measurement data obtained from this approach and evaluated the amount of deformation of each process.

Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Functional State ◽  
The Body ◽  
Functional Changes ◽  
High Intensity Training ◽  
Series Analysis ◽  
Greco Roman ◽  
St Segment ◽  
Standard Lead

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.

Sign in / Sign up

Export Citation Format

Share Document