scholarly journals Approach to Improving the Automated System Computer Analysis of the Electrocardiogram

2019 ◽  
pp. 42-48
Author(s):  
Viktor Vladimirovich Muromtsev ◽  
Valeriy Mikhailovich Nikitin ◽  
Olga Alekseevna Efremova ◽  
Lyudmila Aleksandrovna Kamyshnikova
Keyword(s):  
Computer Analysis ◽  
Main Idea ◽  
Automated System ◽  
Computer Assisted ◽  
Time Warping ◽  
Interactive Tools ◽  
Analysis System ◽  
Dynamic Time ◽  
Electrocardiogram Ecg ◽  
Degree Of Similarity

Purpose is to develop and test an approach to the improvement of automated electrocardiogram (ECG) computer analysis systems, which increases physician productivity. Materials and methods. The existing prototype of the ECG computer analysis system developed by the authors is used as materials. Dynamic time warping (DTW) method, as well as structural and object-oriented software development techniques were used. Results and discussion. The main idea of improving automated computer-assisted ECG analysis systems is to provide the doctor with convenient software tools that allow you to: set various templates for QRS complexes; select templates and automatically find QRS complexes in ECG that are most similar to the selected template. The main result of the work is an algorithm that allows to quantify the degree of similarity of a QRS complex isolated from an ECG and a given pattern. The algorithm is based on the DTW method. The proposed improvement was tested when modifying the existing ECG computer analysis system. As a result of the modification, convenient interactive tools were added to the system, which allow the doctor to navigate the QRS complexes while viewing the ECG, taking into account their degree of similarity to the selected template. This gave the doctor the opportunity to quickly assess the patient’s condition and make a conclusion. Conclusion. The proposed approach allows you to modify the automated computer-aided analysis of the ECG in order to increase the productivity of the doctor.

Multichannel Human Motion Similarity Analysis Based on Information Entropy and Dynamic Time Warping

2014 ◽  
Vol 687-691 ◽  
pp. 847-851
Author(s):  
Ming Zeng ◽  
Zai Xin Yang ◽  
Hong Lin Ren ◽  
Qing Hao Meng
Keyword(s):  
Information Entropy ◽  
Dynamic Time Warping ◽  
Human Motion ◽  
Memory Storage ◽  
Computational Time ◽  
Computer Assisted ◽  
Time Warping ◽  
Depth Sensor ◽  
Evaluation Algorithm ◽  
Dynamic Time

Evaluating motion similarity between trainer and trainee is a key part in computer-assisted sports teaching system. Our similarity evaluation algorithm mainly contains four steps. Firstly, the multichannel 3D human motion data are captured using the Kinect, a depth sensor of Microsoft. Next, in order to greatly reduce the amount of data analysis, the piecewise extremum method (PEM) is applied to achieve this goal. Then, considering that doing the same motions the rhythms of different people are not synchronized, the Dynamic Time Warping algorithm (DTW) is selected to solve the problem of analyzing one channel unequal length motion sequences. Finally, the similarity between the two sets of multichannel human motion sequences can be evaluated using the combined method of the information entropy and DTW. The experimental results indicate that compared with other traditional methods, the proposed method not only accurately measures similarity degree of different motions, but also requires less computational time and memory storage capacity.

Multichannel sparse spike deconvolution based on dynamic time warping

2021 ◽  
Author(s):  
Xiaowei Zhao ◽  
Shangxu Wang ◽  
Sanyi Yuan ◽  
Liang Cheng ◽  
Youjun Cai
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Dynamic Time

scholarly journals Post-Thaw Sperm Quality and Functionality in the Autochthonous Pig Breed Gochu Asturcelta

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1885
Author(s):  
José Néstor Caamaño ◽  
Carolina Tamargo ◽  
Inmaculada Parrilla ◽  
Felipe Martínez-Pastor ◽  
Lorena Padilla ◽  
...  
Keyword(s):  
Genetic Resource ◽  
Sperm Quality ◽  
Genetic Material ◽  
Mitochondrial Activity ◽  
Computer Assisted ◽  
Kinematic Parameters ◽  
Linear Mixed Effects ◽  
Sperm Analysis ◽  
Computer Assisted Sperm Analysis ◽  
Analysis System

Genetic resource banks (GRB) preserve the genetic material of endangered, valuable individuals or genetically relevant breeds. Semen cryopreservation is a crucial technique to reach these goals. Thus, we aimed to assess the sperm parameters of semen doses from the native pig breed Gochu Asturcelta stored at the GRB of Principado de Asturias (GRB-PA, Gijón, Spain), focusing on intrinsic and extrinsic (boar, season) factors. Two straws per boar (n = 18, 8–71 months of age) were thawed, pooled, and assessed after 30 and 150 min at 37 °C by CASA (computer-assisted sperm analysis system; motility and kinematic parameters) and flow cytometry (viability, acrosomal status, mitochondrial activity, apoptosis, reactive oxygen species, and chromatin status). The effects of age, incubation, and season on post-thawing quality were determined using linear mixed-effects models. Parameters were on the range for commercial boar breeds, with chromatin status (SCSA: fragmentation and immaturity) being excellent. Incubation decreased sperm quality and functionality. The boar age did not have a significant effect (p > 0.05), but the between-boar variability was significant (p < 0.001). The season significantly affected many parameters (motility, kinematics, viability, acrosomal status, mitochondrial activity), especially after 150 min of incubation. In general, samples collected in spring and summer showed higher quality post-thawing, the lowest in winter. In conclusion, the sperm doses from the Gochu Asturcelta breed stored at the GRB-PA showed excellent chromatin status and acceptable characteristics after thawing. Therefore, boar and seasonal variability in this autochthonous breed could be relevant for cryobank management.

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