2.Research on Logic Design of Proton Treatment Control System.
Zhuofan CAI ; Rong XIE ; Jianchun DENG ; Zhiyong YANG
Chinese Journal of Medical Instrumentation 2023;47(4):370-376
The proton treatment control system is the supporting software of the proton therapy device, which specifically coordinates and controls the status and work of each subsystem. In this study, the software architecture and hardware implementation of the proton treatment control system was developed and built a foundation for the overall debugging. Using C# programming language and WPF programming techniques, TCP network communication protocol specified by the proton treatment technical document and MVVM pattern in Windows system, the logic design and implementation of each level were studied. Meanwhile, the communication interface between the subsystems under TCP communication protocol was agreed. The logic design and research of the setup field and treatment field were carried out. And the User Interface was designed and developed using the above technology. The program realizes the communication and interaction between the proton treatment control system and each subsystem, so as to control and monitor the whole treatment process. The proton treatment control system provides a software basis for the remote overall debugging and on-line monitor and control of proton treatment device.
Protons
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User-Computer Interface
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Software
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Computers
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Logic
3.Brain-computer interface: from lab to real scene.
Journal of Biomedical Engineering 2021;38(3):405-408
Brain-computer interface (BCI) can be summarized as a system that uses online brain information to realize communication between brain and computer. BCI has experienced nearly half a century of development, although it now has a high degree of awareness in the public, but the application of BCI in the actual scene is still very limited. This collection invited some BCI teams in China to report their efforts to promote BCI from laboratory to real scene. This paper summarizes the main contents of the invited papers, and looks forward to the future of BCI.
Brain
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Brain-Computer Interfaces
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China
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Electroencephalography
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Laboratories
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User-Computer Interface
4.Human factors engineering of brain-computer interface and its applications: Human-centered brain-computer interface design and evaluation methodology.
Xiaotong LU ; Peng DING ; Siyu LI ; Anmin GONG ; Lei ZHAO ; Qian QIAN ; Lei SU ; Yunfa FU
Journal of Biomedical Engineering 2021;38(2):210-223
Brain-computer interface (BCI) is a revolutionizing human-computer Interaction, which is developing towards the direction of intelligent brain-computer interaction and brain-computer intelligent integration. However, the practical application of BCI is facing great challenges. The maturity of BCI technology has not yet reached the needs of users. The traditional design method of BCI needs to be improved. It is necessary to pay attention to BCI human factors engineering, which plays an important role in narrowing the gap between research and practical application, but it has not attracted enough attention and has not been specifically discussed in depth. Aiming at BCI human factors engineering, this article expounds the design requirements (from users), design ideas, objectives and methods, as well as evaluation indexes of BCI with the human-centred-design. BCI human factors engineering is expected to make BCI system design under different use conditions more in line with human characteristics, abilities and needs, improve the user satisfaction of BCI system, enhance the user experience of BCI system, improve the intelligence of BCI, and make BCI move towards practical application.
Brain
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Brain-Computer Interfaces
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Electroencephalography
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Ergonomics
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Humans
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User-Computer Interface
5.Building virtual simulation teaching platform based on electronic standardized patient.
Yi-Biao YUAN ; Jue-Jin WANG ; Mao-Hui LIN ; Xing-Ya GAO
Acta Physiologica Sinica 2020;72(6):730-736
Informatization is an effective way to promote the reform and innovation of higher education and improve its quality. Virtual simulation teaching is indispensable in the educational informatization. Here, we describe the development and current situation of virtual simulation teaching, and introduce electronic standardized patient (ESP) based-virtual human body system powered by the real-time human physiological parameters. We also discuss how to build an ESP-based community in the teaching of human physiology, preclinical integrated case learning and other teaching projects. These ESP-based virtual simulation projects display the advantages of interdisciplinary fusion and the combination of basic and clinical knowledge, and open up the third type of functional experiments. Therefore, ESP-based virtual simulation teaching platform presumably becomes a considerable option for the first-class course construction in physiology.
Computer Simulation
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Electronics
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Humans
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Learning
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User-Computer Interface
6.Ethics considerations on brain-computer interface technology.
Zhe ZHANG ; Xu ZHAO ; Yixin MA ; Peng DING ; Wenya NAN ; Anmin GONG ; Yunfa FU
Journal of Biomedical Engineering 2023;40(2):358-364
The development and potential application of brain-computer interface (BCI) technology is closely related to the human brain, so that the ethical regulation of BCI has become an important issue attracting the consideration of society. Existing literatures have discussed the ethical norms of BCI technology from the perspectives of non-BCI developers and scientific ethics, while few discussions have been launched from the perspective of BCI developers. Therefore, there is a great need to study and discuss the ethical norms of BCI technology from the perspective of BCI developers. In this paper, we present the user-centered and non-harmful BCI technology ethics, and then discuss and look forward on them. This paper argues that human beings can cope with the ethical issues arising from BCI technology, and as BCI technology develops, its ethical norms will be improved continuously. It is expected that this paper can provide thoughts and references for the formulation of ethical norms related to BCI technology.
Humans
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Brain-Computer Interfaces
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Technology
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Brain
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User-Computer Interface
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Electroencephalography
7.Virtual reality based stroke rehabilitation.
Deog Young KIM ; Jong Bum PARK
Journal of the Korean Medical Association 2013;56(1):16-22
Virtual reality (VR) is defined as an approach to user-computer interface that involves real-time simulation of an environment, scenario, or activity that allows for user interaction via multiple sensory channels. In recent years, virtual reality has grown immensely with rapid advancement of VR technologies in the field of stroke rehabilitation. In this paper, current VR applications to the field of rehabilitation are reviewed. In the field of stroke rehabilitation, many clinical trials related to VR-based assessment and treatment have been performed to assess and treat arm dysfunction, walking ability, visuospatial problems, cognitive dysfunction, etc. Among them, VR is beneficial in improving arm function when compared with conventional therapy with limited evidence. Whether VR improves walking, visuospatial problems, or cognitive function has not been well established yet. However, VR can simulate the real environment without the risks arising from errors, and can also give a sense of immersion in the simulated environment and a concomitant feeling of 'presence'. Moreover, VR provides the motivation of gaming factors. With these advantages, VR will be one of the major advanced technologies for assessment and managing post-stroke dysfunction in the future.
Arm
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Immersion
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Motivation
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Stroke
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User-Computer Interface
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Walking
8.A web-based integrated clinical database for laryngeal cancer.
Qimin E ; Jialin LIU ; Yong LI ; Chuanyu LIANG
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2014;28(15):1181-1184
OBJECTIVE:
To establish an integrated database for laryngeal cancer, and to provide an information platform for laryngeal cancer in clinical and fundamental researches. This database also meet the needs of clinical and scientific use.
METHOD:
Under the guidance of clinical expert, we have constructed a web-based integrated clinical database for laryngeal carcinoma on the basis of clinical data standards, Apache+PHP+MySQL technology, laryngeal cancer specialist characteristics and tumor genetic information.
RESULT:
A Web-based integrated clinical database for laryngeal carcinoma had been developed. This database had a user-friendly interface and the data could be entered and queried conveniently. In addition, this system utilized the clinical data standards and exchanged information with existing electronic medical records system to avoid the Information Silo. Furthermore, the forms of database was integrated with laryngeal cancer specialist characteristics and tumor genetic information.
CONCLUSION
The Web-based integrated clinical database for laryngeal carcinoma has comprehensive specialist information, strong expandability, high feasibility of technique and conforms to the clinical characteristics of laryngeal cancer specialties. Using the clinical data standards and structured handling clinical data, the database can be able to meet the needs of scientific research better and facilitate information exchange, and the information collected and input about the tumor sufferers are very informative. In addition, the user can utilize the Internet to realize the convenient, swift visit and manipulation on the database.
Databases, Factual
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Internet
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Laryngeal Neoplasms
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Software
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User-Computer Interface
9.CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing.
Guoguang ZHAO ; Dechao BU ; Changning LIU ; Jing LI ; Jian YANG ; Zhiyong LIU ; Yi ZHAO ; Runsheng CHEN
Protein & Cell 2012;3(2):148-152
Estimating taxonomic content constitutes a key problem in metagenomic sequencing data analysis. However, extracting such content from high-throughput data of next-generation sequencing is very time-consuming with the currently available software. Here, we present CloudLCA, a parallel LCA algorithm that significantly improves the efficiency of determining taxonomic composition in metagenomic data analysis. Results show that CloudLCA (1) has a running time nearly linear with the increase of dataset magnitude, (2) displays linear speedup as the number of processors grows, especially for large datasets, and (3) reaches a speed of nearly 215 million reads each minute on a cluster with ten thin nodes. In comparison with MEGAN, a well-known metagenome analyzer, the speed of CloudLCA is up to 5 more times faster, and its peak memory usage is approximately 18.5% that of MEGAN, running on a fat node. CloudLCA can be run on one multiprocessor node or a cluster. It is expected to be part of MEGAN to accelerate analyzing reads, with the same output generated as MEGAN, which can be import into MEGAN in a direct way to finish the following analysis. Moreover, CloudLCA is a universal solution for finding the lowest common ancestor, and it can be applied in other fields requiring an LCA algorithm.
Algorithms
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Databases, Genetic
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Metagenomics
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Search Engine
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User-Computer Interface
10.Musculoskeletal System Anatomic Database Software Applied to the Internet.
Hai ZHOU ; Taoran LIU ; Dongmei WANG
Chinese Journal of Medical Instrumentation 2019;43(4):248-251
We developed a new the musculoskeletal anatomic database software based on internet. This article presents the design objective and basic routes of the software, further present the technical plan, software functionality and service objects. This software is used to store the anatomic data of musculoskeletal system, that allows the users to enquire and do statistial analysis through the large amount of anatomic data, that guides the doctors to design operative schemes, that provides technical supports for medicine and industry fields.
Databases, Factual
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Humans
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Internet
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Musculoskeletal System
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Software
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User-Computer Interface