COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model

Irmak, Emrah

doi:10.1007/s13246-022-01102-w

Cited by 32 publications

(15 citation statements)

References 38 publications

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“…On this basis, reasonably determine the content of innovation and entrepreneurship legal education, realize the further improvement of the innovation and entrepreneurship education curriculum system, and truly integrate legal education into innovation and entrepreneurship education, so as to help students master the relevant legal knowledge involved in innovation and entrepreneurship practice and enable students to have the ability to think and solve practical problems by applying legal thinking in innovation and entrepreneurship practice. As shown in Figure 14 [ 25 ].…”

Section: Practical Training Strategies For College Students' Legal Aw...mentioning

confidence: 99%

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

2022

Journal of Environmental and Public Health

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In order to build a harmonious economic society, show the legal function in the society, enable people to live and work in a better environment, and increase people’s practicality in the legal society, it needs to be analyzed from the perspective of social psychology. This paper comprehensively analyzes the current public legal knowledge, uses a deep neural network model, and implements the cultivation of public legal awareness. On this basis, it integrates the data and information before and after 2020, uses the method of book case distribution training, constructs a legal framework, relies on the data distribution technology, constructs a web legal awareness training system, and increases the conditions for promoting the cultivation of public legal awareness based on the background operation of the integrated website. It can be seen that in the perspective of social psychology, the importance of the cultivation of public legal awareness can be achieved through new algorithms, so that people can pay attention to the cultivation of legal awareness, which can provide corresponding protection for the operation and maintenance of the legal system.

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Section: Practical Training Strategies For College Students' Legal Aw...mentioning

confidence: 99%

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

2022

Journal of Environmental and Public Health

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“…The act of combining more different layers is a natural way to obtain a new model with high accuracy for uncurated data. Emrah et al [45] suggest a new CNN model for COVID-19 recognition based on ECG data. The data are augmented using three augmentation techniques: rotation, translation and scaling.…”

Section: Discussionmentioning

confidence: 99%

A novel internet of things based on deep neural network framework using soft-attention convolutional neural networks for COVID-19 detection

Fki

Ammar

Fourati

et al. 2022

Preprint

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Background: The impact of coronavirus (COVID-19) pandemic on health care is universal. The risks resulting from emerging contagious viruses and the efficacy of vaccines are persisting due to the presence of different variants. Learning of deeper and more interpretable models from COVID-19 data are conducive to understand this disease and to study the virus spread, individual diagnosis and may be other engrossing relating issues. However, some difficulties and intricacies are arising from the scarcity of precisely labelled data. Previous works have exploited existing Deep Neural Network (DNN) models that are pre-trained on large datasets like ImageNet. Method: In this paper, a new framework is proposed in order to monitor and predict COVID-19 cases and other diseases, pursuing medical data. The currently proposed framework essentially relies on (1) an Internet of Things (IoT) processing model to collect data and operate on them later, (2) a DNN model for data processing, known as REGATT. This proposed model is based on a pre-trained REGNet model finely tuned by spatial, channel ATTention and convolutional layers, boosting feature representation and discrimination. Results: Comparative experimental results on four different benchmark datasets show that the proposed model leads to a promising solution for diagnosing COVID-19. Conclusion: It is concluded that an IoT and DNN-based solution are a viable way for the diagnosis of not only COVID-19 but also other diseases. It is advisable that future works explore the development of interpretable models.

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“…Using a deep CNN, abnormalities in the cardiovascular system of COVID-19-affected patients were studied using paper-based ECG images. The developed method reported accuracy of 98.57% in differentiating COVID-19 cases from control ( Irmak, 2022 ).…”

Section: Diagnostic Techniques For Covid-19mentioning

confidence: 98%

Outlook of various diagnostics and nanodiagnostic techniques for COVID-19

Preethi

Roy

Lahkar

et al. 2022

Biosensors and Bioelectronics: X

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COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model

Cited by 32 publications

References 38 publications

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

A novel internet of things based on deep neural network framework using soft-attention convolutional neural networks for COVID-19 detection

Outlook of various diagnostics and nanodiagnostic techniques for COVID-19

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