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文章基本信息

  • 标题:Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence
  • 本地全文:下载
  • 作者:Mudrakola Swapna ; Uma Maheswari Viswanadhula ; Rajanikanth Aluvalu
  • 期刊名称:Journal of Sensor and Actuator Networks
  • 电子版ISSN:2224-2708
  • 出版年度:2022
  • 卷号:11
  • 期号:1
  • 页码:17
  • DOI:10.3390/jsan11010017
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals to communicate information to care staff. AI algorithms and approaches will help to predict health problems and check the health status of organs, while AI prediction, classification, and regression algorithms are helping the medical industry to protect from health hazards. The early prediction and detection of health conditions will guide people to stay healthy. This paper represents the scope of bio-signals using AI in the medical area. It will illustrate possible case studies relevant to bio-signals generated through IoT sensors. The bio-signals that retrospectively occur are discussed, and the new challenges of medical diagnosis using bio-signals are identified.
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