Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access
In recent years, statistics have indicated that the number of patients with malignant brain tumors has increased sharply. However, most surgeons still perform surgical training using the traditional autopsy and prosthesis model, which encounters many problems, such as insufficient corpse resources,...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2023-04-01
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| Series: | Digital Communications and Networks |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822000682 |
| _version_ | 1797829556410777600 |
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| author | Jun Liu Kai Qian Zhibao Qin Mohammad Dahman Alshehri Qiong Li Yonghang Tai |
| author_facet | Jun Liu Kai Qian Zhibao Qin Mohammad Dahman Alshehri Qiong Li Yonghang Tai |
| author_sort | Jun Liu |
| collection | DOAJ |
| description | In recent years, statistics have indicated that the number of patients with malignant brain tumors has increased sharply. However, most surgeons still perform surgical training using the traditional autopsy and prosthesis model, which encounters many problems, such as insufficient corpse resources, low efficiency, and high cost. With the advent of the 5G era, a wide range of Industrial Internet of Things (IIOT) applications have been developed. Virtual Reality (VR) and Augmented Reality (AR) technologies that emerged with 5G are developing rapidly for intelligent medical training. To address the challenges encountered during neurosurgery training, and combining with cloud computing, in this paper, a highly immersive AR-based brain tumor neurosurgery remote collaborative virtual surgery training system is developed, in which a VR simulator is embedded. The system enables real-time remote surgery training interaction through 5G transmission. Six experts and 18 novices were invited to participate in the experiment to verify the system. Subsequently, the two simulators were evaluated using face and construction validation methods. The results obtained by training the novices 50 times were further analyzed using the Learning Curve-Cumulative Sum (LC-CUSUM) evaluation method to validate the effectiveness of the two simulators. The results of the face and content validation demonstrated that the AR simulator in the system was superior to the VR simulator in terms of vision and scene authenticity, and had a better effect on the improvement of surgical skills. Moreover, the surgical training scheme proposed in this paper is effective, and the remote collaborative training effect of the system is ideal. |
| first_indexed | 2024-04-09T13:22:04Z |
| format | Article |
| id | doaj.art-709040fee4a74aad9b663ba7fae7b199 |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-04-09T13:22:04Z |
| publishDate | 2023-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-709040fee4a74aad9b663ba7fae7b1992023-05-11T04:24:17ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482023-04-0192347357Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data accessJun Liu0Kai Qian1Zhibao Qin2Mohammad Dahman Alshehri3Qiong Li4Yonghang Tai5Yunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming, 650500, ChinaDepartment of Thoracic Surgery, Institute of The First People's Hospital of Yunnan Province, Kunming, China; Faculty of Life and Biotechnology, Kunming University of Science and Technology, Kunming, ChinaYunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming, 650500, ChinaDepartment of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi ArabiaYunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming, 650500, China; Corresponding author.Yunnan Key Laboratory of Opto-electronic Information Technology, Yunnan Normal University, Kunming, 650500, China; Corresponding author.In recent years, statistics have indicated that the number of patients with malignant brain tumors has increased sharply. However, most surgeons still perform surgical training using the traditional autopsy and prosthesis model, which encounters many problems, such as insufficient corpse resources, low efficiency, and high cost. With the advent of the 5G era, a wide range of Industrial Internet of Things (IIOT) applications have been developed. Virtual Reality (VR) and Augmented Reality (AR) technologies that emerged with 5G are developing rapidly for intelligent medical training. To address the challenges encountered during neurosurgery training, and combining with cloud computing, in this paper, a highly immersive AR-based brain tumor neurosurgery remote collaborative virtual surgery training system is developed, in which a VR simulator is embedded. The system enables real-time remote surgery training interaction through 5G transmission. Six experts and 18 novices were invited to participate in the experiment to verify the system. Subsequently, the two simulators were evaluated using face and construction validation methods. The results obtained by training the novices 50 times were further analyzed using the Learning Curve-Cumulative Sum (LC-CUSUM) evaluation method to validate the effectiveness of the two simulators. The results of the face and content validation demonstrated that the AR simulator in the system was superior to the VR simulator in terms of vision and scene authenticity, and had a better effect on the improvement of surgical skills. Moreover, the surgical training scheme proposed in this paper is effective, and the remote collaborative training effect of the system is ideal.http://www.sciencedirect.com/science/article/pii/S2352864822000682NeurosurgeryIIOTCloud computingIntelligent medical5GAR |
| spellingShingle | Jun Liu Kai Qian Zhibao Qin Mohammad Dahman Alshehri Qiong Li Yonghang Tai Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access Digital Communications and Networks Neurosurgery IIOT Cloud computing Intelligent medical 5G AR |
| title | Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access |
| title_full | Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access |
| title_fullStr | Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access |
| title_full_unstemmed | Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access |
| title_short | Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access |
| title_sort | cloud computing enabled iiot system for neurosurgical simulation using augmented reality data access |
| topic | Neurosurgery IIOT Cloud computing Intelligent medical 5G AR |
| url | http://www.sciencedirect.com/science/article/pii/S2352864822000682 |
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