Research on Key Projects of Electromagnetic Compatibility Field Testing for Large Medical Robot

The present study aims to investigate the electromagnetic compatibility testing method for large medical robots. This paper explores the operational mode and fundamental performance of large medical robots in electromagnetic compatibility testing, based on the working principle and structural composition of a sampling robot. Furthermore, it focuses on analyzing the field detection methods for radiation emission test and radiation immunity test of large medical robots. Ultimately, this research provides valuable insights for conducting electromagnetic compatibility field tests on large medical robots.

Authors

Publication Details

Journal
Journal of Clinical Medicine Research
Published
2024-09-23
DOI
https://doi.org/10.32629/jcmr.v5i3.2634
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
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Research on Key Projects of Electromagnetic Compatibility Field Testing for Large Medical Robot

Mingjian Zhu, Meili Liu, Zhu Cheng-ke, Mei Wang et al.
Journal of Clinical Medicine Research
Wireless Body Area Networks
article

Research on Key Projects of Electromagnetic Compatibility Field Testing for Large Medical Robot

Mingjian Zhu, Meili Liu, Zhu Cheng-ke, Mei Wang, Meng Liu, Shuyi Zhang, Qingyu Li, Yang Shu, Deyu Li
article en

Abstract

The present study aims to investigate the electromagnetic compatibility testing method for large medical robots. This paper explores the operational mode and fundamental performance of large medical robots in electromagnetic compatibility testing, based on the working principle and structural composition of a sampling robot. Furthermore, it focuses on analyzing the field detection methods for radiation emission test and radiation immunity test of large medical robots. Ultimately, this research provides valuable insights for conducting electromagnetic compatibility field tests on large medical robots.

Journal of Clinical Medicine ResearchVol. 5(3)
Openalex Percentile: Top 83%
Wireless Body Area Networks
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