Evaluation of ECG Interpretation Systems: Signal Analysis

1990 ◽  
Vol 29 (04) ◽  
pp. 298-307 ◽  
Author(s):  
Chr. Zywietz ◽  
J. H. van Bemmel ◽  
R. Degani
Keyword(s):  
Performance Evaluation ◽  
Performance Analysis ◽  
Signal Analysis ◽  
Specific Reference ◽  
Data Sets ◽  
Control Engineering ◽  
Legal Implications ◽  
Biosignal Processing ◽  
Test Sets ◽  
And Control

AbstractPerformance analysis of biosignal processing systems which provide diagnostic statements requires particular care. Besides general accuracy requirements, psychological and legal implications for patient and physician have to be considered on both the development and the user sites. Cybernetics and control engineering have provided the basic methodology for performance analysis of systems: in technical systems often mathematically defined functions and signals can be fed into the system to be tested and its response and output provide the necessary performance characteristics after adequate mathematical analysis. For systems which process biosignals, as for example ECG analysis systems, instead of analytically given signals learning and test sets of data derived from patients have to be applied. The performance analysis is done on a statistical basis. In this paper construction and composition of learning and test data sets as well as methods for performance evaluation of the signal pocessing part of ECG programs are described. Specific reference is made to the European project Common Standards for Quantitative Electrocardiography (CSE) where ten ECG- and nine VCG-programs have been tested. The results of these tests provide reference data and standards for further program development as well as for independent system performance evaluation.

Control engineering and synthetic biology: working in synergy for the analysis and control of microbial systems

2021 ◽  
Vol 62 ◽  
pp. 68-75
Author(s):  
Giansimone Perrino ◽  
Andreas Hadjimitsis ◽  
Rodrigo Ledesma-Amaro ◽  
Guy-Bart Stan
Keyword(s):  
Synthetic Biology ◽  
Control Engineering ◽  
And Control ◽  
Microbial Systems

scholarly journals Analysis of Risk Factors in Dementia Through Machine Learning

2020 ◽  
pp. 1-17
Author(s):  
Francisco Javier Balea-Fernandez ◽  
Beatriz Martinez-Vega ◽  
Samuel Ortega ◽  
Himar Fabelo ◽  
Raquel Leon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optimization Algorithms ◽  
Progressive Increase ◽  
Control Group ◽  
Data Sets ◽  
Modifiable Factors ◽  
Validation Set ◽  
The One ◽  
And Control ◽  
Potential Tool

Background: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer’s disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiable factors and on the other, modifiable. Objective: This study aims to develop a processing framework based on machine learning (ML) and optimization algorithms to study sociodemographic, clinical, and analytical variables, selecting the best combination among them for an accurate discrimination between controls and subjects with major neurocognitive disorder (MNCD). Methods: This research is based on an observational-analytical design. Two research groups were established: MNCD group (n = 46) and control group (n = 38). ML and optimization algorithms were employed to automatically diagnose MNCD. Results: Twelve out of 37 variables were identified in the validation set as the most relevant for MNCD diagnosis. Sensitivity of 100%and specificity of 71%were achieved using a Random Forest classifier. Conclusion: ML is a potential tool for automatic prediction of MNCD which can be applied to relatively small preclinical and clinical data sets. These results can be interpreted to support the influence of the environment on the development of AD.

scholarly journals Workplace Healthy Lifestyle Determinants and Wellbeing Needs across the Preconception and Pregnancy Periods: A Qualitative Study Informed by the COM-B Model

2021 ◽  
Vol 18 (8) ◽  
pp. 4154
Author(s):  
Seonad K. Madden ◽  
Claire A. Blewitt ◽  
Kiran D. K. Ahuja ◽  
Helen Skouteris ◽  
Cate M. Bailey ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Intervention Development ◽  
Health Behavior Change ◽  
Overweight And Obesity ◽  
Specific Reference ◽  
Lifestyle Behaviors ◽  
Policy Makers ◽  
Health And Wellbeing ◽  
Healthy Lifestyle Behaviors ◽  
And Control

Overweight and obesity present health risks for mothers and their children. Reaching women during the key life stages of preconception and pregnancy in community settings, such as workplaces, is an ideal opportunity to enable health behavior change. We conducted five focus groups with 25 women aged between 25 and 62 years in order to investigate the determinants of healthy lifestyle behaviors, weight management, and wellbeing needs during the preconception and pregnancy periods in an Australian university workplace. Discussions explored women’s health and wellbeing needs with specific reference to workplace impact. An abductive analytical approach incorporated the capability, opportunity, and motivation of behavior (COM-B) model, and four themes were identified: hierarchy of needs and values, social interactions, a support scaffold, and control. Findings highlight the requirement for greater organization-level support, including top-down coordination of wellbeing opportunities and facilitation of education and support for preconception healthy lifestyle behaviors in the workplace. Interventionists and organizational policy makers could incorporate these higher-level changes into workplace processes and intervention development, which may increase intervention capacity for success.

scholarly journals Effect of 1 mg/kg oral prednisolone on biochemical analytes in ten dogs: a cross-over study

2021 ◽  
Author(s):  
Helena Pettersson ◽  
Carl Ekstrand ◽  
Anna Hillström ◽  
Inger Lilliehöök
Keyword(s):  
Clinical Relevance ◽  
Control Period ◽  
Iron Concentration ◽  
Oral Prednisolone ◽  
Reference Intervals ◽  
Specific Reference ◽  
Test Results ◽  
Prednisolone Treatment ◽  
Anti Inflammatory ◽  
And Control

AbstractPrednisolone is used for treatment of inflammatory, allergic, neoplastic, and immune-mediated diseases in dogs. As a glucocorticoid, prednisolone has biochemical effects, which may interfere with the interpretation of biochemistry test results. The aim of this study is to investigate the effects of prednisolone treatment in an anti-inflammatory dose on common biochemical analytes in dogs and to evaluate the clinical relevance of the changes. Ten beagle dogs, enrolled in a cross-over study, were treated with oral prednisolone (1 mg/kg 24 h) for 10 days. Blood samples were collected at day 0, 1, 3, 6, 9, 10, 12, 16, and 20. Data was analyzed using a general linear model with time and treatment as fixed factors. Pairwise comparisons were done between prednisolone and control period for each dog and sampling. Significant results were further evaluated for clinical relevance using laboratory-specific reference intervals and reference change values (RCVs), when available. Statistically significant changes were observed for ALP activity and iron concentration, which increased to levels exceeding the RCV, and several results were outside reference intervals. Phosphate and bile acids increased significantly, while amylase, lipase, and cholesterol decreased significantly, but with mean/median results remaining within reference intervals. Anti-inflammatory prednisolone treatment did not induce significant changes in ALT, GLDH, GGT, cPLI, glucose, or calcium. Treatment with an anti-inflammatory dose of prednisolone induced changes in several analytes. Only the increases in ALP and iron were of such magnitude that they are expected to affect the clinical interpretation of test results.

Human Performance Evaluation of a Metaphor Graphic Display for Respiratory Data

1994 ◽  
Vol 33 (04) ◽  
pp. 390-396 ◽  
Author(s):  
J. G. Stewart ◽  
W. G. Cole
Keyword(s):  
Performance Evaluation ◽  
Human Performance ◽  
Pattern Detection ◽  
Data Sets ◽  
Complex Task ◽  
Graphic Display ◽  
Literal Sense ◽  
Single Number ◽  
The Impact ◽  
Human Problem

Abstract:Metaphor graphics are data displays designed to look like corresponding variables in the real world, but in a non-literal sense of “look like”. Evaluation of the impact of these graphics on human problem solving has twice been carried out, but with conflicting results. The present experiment attempted to clarify the discrepancies between these findings by using a complex task in which expert subjects interpreted respiratory data. The metaphor graphic display led to interpretations twice as fast as a tabular (flowsheet) format, suggesting that conflict between earlier studies is due either to differences in training or to differences in goodness of metaphor, Findings to date indicate that metaphor graphics work with complex as well as simple data sets, pattern detection as well as single number reporting tasks, and with expert as well as novice subjects.

Developing on Experiment System of Process Equipment and Control Engineering Based on PC and PLC

2012 ◽  
Vol 490-495 ◽  
pp. 2286-2289
Author(s):  
Jun Han ◽  
Rui Li Chang
Keyword(s):  
Process Control ◽  
Creative Thinking ◽  
Advanced Technology ◽  
Process Equipment ◽  
Control Engineering ◽  
Experiment System ◽  
Engineering Theory ◽  
Control Automation ◽  
And Control ◽  
Equipment Control

Being established in the requirement of teaching and practice, and connecting to the development of process equipment and control engineering specialty, a suit of experiment teaching instrument is designed, which relates to process control, automation, survey and control and correlative specialties. By the instrument, students can taste the actualizing of process equipment control and the application of advanced technology when learning engineering theory. This stimulates their enthusiasm in specialty courses study and enhances their practice capability and creative thinking

Integrated Practice of Metacognitive Strategies And Second Language Writing

2021 ◽  
pp. 118-136
Author(s):  
Mekala Sethuraman ◽  
Geetha Radhakrishnan
Keyword(s):  
Tamil Nadu ◽  
Second Language Writing ◽  
Metacognitive Strategies ◽  
Writing Proficiency ◽  
Control Engineering ◽  
Language Writing ◽  
Teacher Researcher ◽  
Integrated Practice ◽  
And Control

Writing is a cardinal skill for effective communication practised extensively from primary education, but the students are not exhibiting adequate writing proficiency in their higher education and at their workplace. This experimental study focuses on enhancing the students’ writing skills by promoting metacognitive strategies in the classroom. The participants of this study are 51 pre-final year Diploma students belonging to the Department of Instrumentation and Control Engineering of an autonomous polytechnic institute in Tamil Nadu. The teacher-researcher has facilitated students’ cognizance with metacognitive strategies employed in the writing tasks administered during the course. The results have exhibited improvement apropos of coherence and unity in the students’ writing skill. It implies the indispensable role of metacognitive strategies in developing the capacity of the learners’ strategic thinking and guiding them to plan, progress, and process their writing into a coherent text.

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