重采样技术对卷积神经网络心律失常分类的影响分析

Q3 Medicine

International Journal of Medical Engineering and Informatics Pub Date : 2023-01-01 DOI:10.1504/ijmei.2023.134540

Rekha Rajagopal, V. Shyam Kumar

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis on effect of resampling techniques on cardiac arrhythmia classification using convolutional neural networks

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来源期刊

International Journal of Medical Engineering and Informatics Medicine-Medicine (miscellaneous)

CiteScore

2.20

自引率

0.00%

发文量

110

期刊介绍： IJMEI promotes an understanding of the structural/functional aspects of disease mechanisms and the application of technology towards the treatment/management of such diseases. It seeks to promote interdisciplinary collaboration between those interested in the theoretical and clinical aspects of medicine and to foster the application of computers and mathematics to problems arising from medical sciences. IJMEI includes authoritative review papers, the reporting of original research, and evaluation reports of new/existing techniques and devices. Each issue also contains a comprehensive information service. Topics covered include Hospital information/medical record systems, data protection/privacy Disease modelling/analysis, evidence-based clinical modelling/studies Computer-based patient/disease management systems Clinical trials/studies, outcome-based studies/analysis Electronic patient monitoring systems Nanotechnology in medicine, medical applications Tissue engineering, artificial organs, biomaterials design Healthcare standards, service standardisation Controlled medical terminology/vocabularies Nursing informatics, systems integration Healthcare/hospital management, economics Medical technology, intelligent instrumentation, telemedicine Medical/molecular imaging, disease management Bioinformatics, human genome studies/analysis Drug design.