重塑工程临床决策支持系统:医疗保健中的生物医学信号处理和人工智能

Andrei Perez
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引用次数: 0

摘要

传感技术、图像处理技术和深度学习框架的不断创新和发展引起了许多研究人员的注意,他们正在开发用于医疗应用的尖端系统。本文介绍了基于摄像头的生物医学信号处理的最新使用情况,以及如果您计划将工程硬件和软件结合起来分析生物信号,您应该理解或加强的基本概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reshaping engineered clinical decision support systems: Biomedical signal processing and artificial intelligence in health care
The continuous innovation and development of sensing technologies, image processing techniques, and deep learning frameworks have caught the attention of many researchers, who are developing cutting-edge systems for medical applications. This article talks about the recent usage of camera-based biomedical signal processing and the basic concepts you should understand or reinforce if you are planning to combine engineering hardware and software for the analysis of biosignals.
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来源期刊
IEEE Potentials
IEEE Potentials Social Sciences-Education
CiteScore
1.40
自引率
0.00%
发文量
94
期刊介绍: IEEE Potentials is the magazine dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology?s global impact and generates international forums that foster the sharing of diverse ideas about the profession.
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