Analysis Method of Motion Information Driven by Medical Big Data

Zhang, Jingyi; Zhao, Tong; Zhu, Ping-Sheng

doi:10.1109/access.2019.2956803

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…e identification of the type of online educational resources is the initial stage and core of big data analysis technology, and the acquisition and analysis of the content of educational resources by technical means is the core of the application of big data technology in the teaching management of colleges and universities, which is also an important data basis for the teaching process of tailoring the teaching to the material. e initial stage of big data application is mainly to collect and process online education resource data on a large scale [7] and adopt suitable data processing and mining techniques for different types of data [8] to provide technical support for subsequent online education. Data collection and acquisition is done by capturing, sensing, and implementing perceptual technologies that help teachers and students collect data in different contexts and at different stages.…”

Section: Teaching Management Platformmentioning

confidence: 99%

Construction of Teaching Management Platform for Universities Based on Big Data

2022

Advances in Multimedia

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The construction of the teaching management platform for colleges and universities needs to actively embrace information technology, change the problems existing in traditional offline teaching through technical innovation, make full use of massive educational resources, and improve teaching efficiency. However, no research has yet discussed how to handle the increasing scale of online teaching resources, leading to the hindrance of building teaching management platforms in universities, which requires the use of big data technologies and thinking to build new platforms. We propose a dynamic compression method to compress the data file backup in the database based on the dynamic adjustment of the system workload, and optimize the data file backup model of the database to reduce the total cost of ownership, which provides a basis for managing massive online education resources and building a teaching management platform for universities.

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Section: Teaching Management Platformmentioning

confidence: 99%

Construction of Teaching Management Platform for Universities Based on Big Data

2022

Advances in Multimedia

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“…Terefore, a great deal of distorted and even false health science information may emerge and rapidly spread. Te impartiality, authenticity, and objectivity of digital science popularization are reduced as a result [46]. Tus, avoiding being swayed by perverse interests is essential to maintain public interest.…”

Section: Discussionmentioning

confidence: 99%

The Identification of Advantages and Deficiencies of Current Digital Health Science Popularization in China: A Qualitative Study in Yangtze River Delta Region

Ruan,

Wang,

2023

Health & Social Care in the Community

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Background. Health science popularization, especially digital health science popularization, is essential for development of the Healthy China Strategy. Current studies have focused on interpreting digital education popularization and confirming its positive function; however, reports regarding the limitations and shortcomings thereof are lacking. We aimed to research the current development of digital health science popularization in China, analyze the existing problems, and explore the methods to resolve these problems. Methods. We conducted a qualitative study by mixing in-depth interviews and grounded theory approaches. Participants were recruited according to the inclusion criteria via a snowballing process. Thirty-nine participants, including doctors, nurses, researchers, officers in government, and project leaders, were recruited from the Yangtze River Delta region. Online in-depth interviews with open questions were conducted, and the data were collected. Results. Our results revealed that digital health science popularization has the advantages of convenience, swiftness, friendliness, and social links. However, obvious deficiencies were also exposed, including low authenticity, limited audiences, a lack of manpower, and fragmentation. Conclusions. Current digital health science popularization needs to emphasize public welfare, promote the dissemination of information with professionalism and authority, cultivate cross-border talent, and develop institutional infrastructure to overcome the deficiencies thereof. This remains important to improve the quality and effectiveness of digital health science popularization.

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“…Compared with other types of sensors, photoelectric sensors have the advantages of strong anti-interference ability, good signal stability, insulation, and immunity from electromagnetic interference. Zhang et al realized the preparation of a large-area fabricbased pressure sensor array on a common fabric base through the fusion of Ni coating and carbon nanotube fabric assisted by a mask, which can realize the detection of pulse [10]. However, there are still many problems to be solved when using a flexible planar pulse sensor.…”

Section: Related Workmentioning

confidence: 99%

Exercise and Rehabilitation of Chronically Ill Patients Assisted by Small Digital Bio-Pulse Sensors

Zhang

Wang

2022

Mathematical Problems in Engineering

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With the continuous increase of the ageing population, the number of patients with chronic diseases has increased dramatically. The limited medical resources and the strong demand for high-quality medical services are in stark contradiction. Active rehabilitation training is one of the most effective rehabilitation methods, but it is difficult to achieve through traditional medical equipment. In this paper, aiming at effective clinical rehabilitation, an in-depth study was carried out on the exercise intention recognition experiment of patients, hoping to provide an effective rehabilitation treatment method for the recovery of patients with lower extremity motor function injury. This paper introduces the detection principle of the photoelectric pulse sensor and the design scheme that is used in physical education. In the experiment, through the hardware connection, programming, and the development of the host computer software, the pulse signal of the human body can be presented stably on the computer. The monitoring of the pulse of the students can help the physical education teacher to understand the situation of the students and prevent accidents. In addition, we believe that the acquisition of students’ pulse signals in physical education to build a database is of great significance for research and tracking of students’ health status and the research results will certainly promote the development of pulse diagnosis. In order to make the lower extremity exoskeleton rehabilitation system that can be applied in clinical rehabilitation, according to the Brunnstrom staging of patients with central nervous system injury, the needs of patients in different stages in the rehabilitation process were analysed and active and passive lower extremity rehabilitation strategies were formulated. Aiming at the problem of real-time and accurate identification of human motion intention, and to alleviate the mechanism motion delay caused by the delay of mechanical and control systems in the human-machine integrated system, a differential sEMG real-time feature extraction algorithm is proposed. The results show that the sensor and monitoring system have excellent stability, and the auxiliary system can accurately reflect the changing trend of the human biological pulse, achieve the expected effect, and effectively assist in the monitoring of exercise data for patients with chronic diseases. After treatment, the joint range of motion and muscle strength basically returned to normal levels, and the patient was able to walk independently. Compared with traditional treatment methods, the recovery time is shorter, the recovery of muscle strength is more effective, and the medical staff is more relaxed.

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Analysis Method of Motion Information Driven by Medical Big Data

Cited by 8 publications

References 27 publications

Construction of Teaching Management Platform for Universities Based on Big Data

Construction of Teaching Management Platform for Universities Based on Big Data

The Identification of Advantages and Deficiencies of Current Digital Health Science Popularization in China: A Qualitative Study in Yangtze River Delta Region

Exercise and Rehabilitation of Chronically Ill Patients Assisted by Small Digital Bio-Pulse Sensors

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