Low-complexity detection and classification of ECG noises for automated ECG analysis system

2016 ◽  
Author(s):  
Udit Satija ◽  
Barathram Ramkumar ◽  
M. Sabarimalai Manikandan
Keyword(s):  
Low Complexity ◽  
Ecg Analysis ◽  
Analysis System

scholarly journals CNN-Based Acoustic Scene Classification System

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Yerin Lee ◽  
Soyoung Lim ◽  
Il-Youp Kwak
Keyword(s):  
Low Complexity ◽  
Classification Model ◽  
Weight Class ◽  
Scene Classification ◽  
Audio File ◽  
General Classification ◽  
Team Task ◽  
Real World Applications ◽  
Activation Mapping

Acoustic scene classification (ASC) categorizes an audio file based on the environment in which it has been recorded. This has long been studied in the detection and classification of acoustic scenes and events (DCASE). This presents the solution to Task 1 of the DCASE 2020 challenge submitted by the Chung-Ang University team. Task 1 addressed two challenges that ASC faces in real-world applications. One is that the audio recorded using different recording devices should be classified in general, and the other is that the model used should have low-complexity. We proposed two models to overcome the aforementioned problems. First, a more general classification model was proposed by combining the harmonic-percussive source separation (HPSS) and deltas-deltadeltas features with four different models. Second, using the same feature, depthwise separable convolution was applied to the Convolutional layer to develop a low-complexity model. Moreover, using gradient-weight class activation mapping (Grad-CAM), we investigated what part of the feature our model sees and identifies. Our proposed system ranked 9th and 7th in the competition for these two subtasks, respectively.

scholarly journals Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews

2021 ◽  
Author(s):  
Asad Khattak ◽  
Muhammad Zubair Asghar ◽  
Zain Ishaq ◽  
Waqas Haider Bangyal ◽  
Ibrahim A Hameed
Keyword(s):  
Sentiment Analysis ◽  
User Reviews ◽  
Analysis System

Automated cardiac condition diagnosis using AI based ECG analysis system for school children

2021 ◽  
Author(s):  
Praveen Mohandas ◽  
Aswin P R ◽  
Antony John ◽  
Midhun Madhu ◽  
Gylson Thomas ◽  
...  
Keyword(s):  
School Children ◽  
Ecg Analysis ◽  
Cardiac Condition ◽  
Analysis System ◽  
Condition Diagnosis

scholarly journals Analysis of the coefficient of variation in shear and tensile bond strength tests

2005 ◽  
Vol 13 (3) ◽  
pp. 243-246 ◽  
Author(s):  
Fábio Lourenço Romano ◽  
Gláucia Maria Bovi Ambrosano ◽  
Maria Beatriz Borges de Araújo Magnani ◽  
Darcy Flávio Nouer
Keyword(s):  
Coefficient Of Variation ◽  
Mean Value ◽  
Scientific Article ◽  
A Value ◽  
Statistical Analysis System ◽  
Strength Tests ◽  
Analysis System ◽  
Very High

The coefficient of variation is a dispersion measurement that does not depend on the unit scales, thus allowing the comparison of experimental results involving different variables. Its calculation is crucial for the adhesive experiments performed in laboratories because both precision and reliability can be verified. The aim of this study was to evaluate and to suggest a classification of the coefficient variation (CV) for in vitro experiments on shear and tensile strengths. The experiments were performed in laboratory by fifty international and national studies on adhesion materials. Statistical data allowing the estimation of the coefficient of variation was gathered from each scientific article since none of them had such a measurement previously calculated. Excel worksheet was used for organizing the data while the sample normality was tested by using Shapiro Wilk tests (alpha = 0.05) and the Statistical Analysis System software (SAS). A mean value of 6.11 (SD = 1.83) for the coefficient of variation was found by the data analysis and the data had a normal distribution (p>0.05). A range classification was proposed for the coefficient of variation from such data, that is, it should be considered low for a value lesser than 2.44; intermediate for a value between 2.44 and 7.94, high for a value between 7.94 and 9.78, and finally, very high for a value greater than 9.78. Such classification can be used as a guide for experiments on adhesion materials, thus making the planning easier as well as revealing precision and validity concerning the data.

scholarly journals Classification of Personnel Procedures in the National Police of Ukraine

2020 ◽  
Vol 9 (28) ◽  
pp. 100-107
Author(s):  
Khrystyna Volodymyrivna Solntseva ◽  
Oleksandr Mykolaiovych Kurakin ◽  
Alina Rashydivna Chanysheva ◽  
Andrii Oleksiovych Sobakar
Keyword(s):  
Negative Impact ◽  
Highly Qualified ◽  
Effective Work ◽  
Law Enforcement Agency ◽  
Police Personnel ◽  
The Subject ◽  
Analysis System ◽  
National Police ◽  
Selection Of

The purpose of the article is to explore the types of personnel procedures in the National Police of Ukraine on the basis of scientific developments of scholars and to carry out their classification. To achieve this goal, such methods as formal-logical, comparative analysis, system-structural and comparative-legal was used. The successful functioning the National Police of Ukraine is not possible without the proper selection of highly qualified employees, which can be ensured through the introduction of truly effective and efficient personnel procedures. The theoretical and legal approaches to the division of personnel procedures into appropriate types by different classification criteria are analyzed and summarized, in particular, depending on: a) the subject of the initiative; b) the nature of the consequences; c) the type (direction) of the activity of the authority. The personnel procedures, which are divided into ordinary and simplified, are also illustrated. The tasks of the National Police Personnel Department are given. It is stated that the achievement of effective work of the National Police bodies is not possible without further improvement of the mechanism of personnel procedures, since insufficient work with staff has a negative impact on the reform of this law enforcement agency. As a result of the study the author's classification of personnel procedures in the National Police of Ukraine was proposed, namely, according to the following criteria: 1) by the subject of the initiative of the personnel procedure; 2) by the nature of the consequences for the subject of the personnel relations; 3) by the stage of staffing; 4) by the direction of activity of the subject of personnel relations in the police force; 5) by the degree of regulation; 6) by functional purpose; 7) by tasks of staffing.

MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins

2020 ◽  
Author(s):  
Marco Necci ◽  
Damiano Piovesan ◽  
Damiano Clementel ◽  
Zsuzsanna Dosztányi ◽  
Silvio C E Tosatto
Keyword(s):  
Large Scale ◽  
Theoretical Models ◽  
Intrinsic Disorder ◽  
Low Complexity ◽  
Compositional Bias ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Proteome Level ◽  
And Performance

Abstract Motivation The earlier version of MobiDB-lite is currently used in large-scale proteome annotation platforms to detect intrinsic disorder. However, new theoretical models allow for the classification of intrinsically disordered regions into subtypes from sequence features associated with specific polymeric properties or compositional bias. Results MobiDB-lite 3.0 maintains its previous speed and performance but also provides a finer classification of disorder by identifying regions with characteristics of polyolyampholytes, positive or negative polyelectrolytes, low-complexity regions or enriched in cysteine, proline or glycine or polar residues. Subregions are abundantly detected in IDRs of the human proteome. The new version of MobiDB-lite represents a new step for the proteome level analysis of protein disorder. Availability and implementation Both the MobiDB-lite 3.0 source code and a docker container are available from the GitHub repository:https://github.com/BioComputingUP/MobiDB-lite

Methodology of the Modular ECG Analysis System MEANS

1990 ◽  
Vol 29 (04) ◽  
pp. 346-353 ◽  
Author(s):  
G. van Herpen ◽  
J. H. van Bemmel ◽  
J. A. Kors
Keyword(s):  
Software Package ◽  
Signal Analysis ◽  
Basic Structure ◽  
Modular Approach ◽  
Entire System ◽  
Ecg Analysis ◽  
Study Evaluation ◽  
Interpretation System ◽  
Overall Evaluation ◽  
Analysis System

AbstractThe methodology, used in the Modular ECG Analysis System (MEANS) is described. MEANS consists of modules for signal analysis and diagnostic classification. The basic structure of the modular interpretation system remained intact over a period of 20 years, while all modules underwent many changes as a function of experience and insight, and the continuously changing information technology. The article describes the advantages of a modular approach to decision-support systems, the most important ones being easier maintenance of the software package and separate optimization and testing of each module. The overall evaluation of MEANS was done in the CSE study. Evaluation results for modules and for the entire system are presented.

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