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. 2024 Aug 1:26:e50355.
doi: 10.2196/50355.

5G Key Technologies for Helicopter Aviation Medical Rescue

Wei Han Sr  1 , Yuanting Li Nd  2 , Changgen Chen Rd  3 , Danni Huang  4 , Junchao Wang  5 , Xiang Li  6 , Zhongliang Ji  1 , Qin Li  1 , Zhuang Li  1
Affiliations

5G Key Technologies for Helicopter Aviation Medical Rescue

Wei Han Sr et al. J Med Internet Res. .

Abstract

Rapid global population growth and urbanization have heightened the demand for emergency medical rescue, with helicopter medical rescue emerging as an effective solution. The advent of 5G communication technology, characterized by large bandwidth, low latency, and high reliability, offers substantial promise in enhancing the efficiency and quality of helicopter rescue operations. However, the full integration of 5G technology into helicopter emergency medical services is still in its nascent stages and requires further development. In this viewpoint, we present our experience from the Shenzhen University General Hospital of the application of 5G low-altitude network communication technology, body area network disease sensing technology, and 5G air-ground collaborative rapid diagnosis and treatment technology in aeromedical rescue. We consider that the 5G air-to-ground collaborative rapid diagnosis and treatment technology enables high-quality remote consultation, enhancing emergency medical rescue and providing strong support for future rescue operations.

Keywords: 5G technology; aeronautical engineering; helicopters; low airspace; medical aid.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Schematic diagram of 2.6+4.9-GHz dual-frequency collaborative 5G networking.
Figure 2
Figure 2
Deployment image of the external 5G+global navigation satellite system antenna (the antenna was derived from the external suction cup antenna of Guanghetong BGS-910).
Figure 3
Figure 3
Beidou positioning trajectory map obtained from 5G module.
Figure 4
Figure 4
5G module–integrated 5G air rescue equipment with global navigation satellite system capability. The module was derived from Guanghetong FM160.
Figure 5
Figure 5
Detection of channel characteristics in body area networks. LMMSE: linear minimum mean square error; RCNN: region-based convolutional neural network.
Figure 6
Figure 6
Body area network data encryption method.
Figure 7
Figure 7
5G first-aid equipment.
Figure 8
Figure 8
Air-to-ground collaborative information-sharing platform. CT: computed tomography.
See this image and copyright information in PMC

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