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find Keyword "Smart medical" 2 results
  • Application status of 5th generation mobile communication technology in medical care

    Recently, with the development of technology, the 5th generation mobile communication technology (5G) is developing day by day. Mobile medical industry has a huge market in our country. As a strategic emerging industry in China, 5G will focus on the medical care industry, enhance the service quality of medical care, enable innovative applications and services, and make the medical industry more digital, networked and intelligent. 5G has an epoch-making significance for improving the quality of health monitoring and self-care ability, and promoting medical care development. Therefore, this paper introduces the definition, advantages, and significance of 5G and its application status in medical care, in order to lay a foundation for promoting the deep integration of 5G and medical care.

    Release date:2019-09-06 03:51 Export PDF Favorites Scan
  • Artificial intelligence in wearable electrocardiogram monitoring

    Electrocardiogram (ECG) monitoring owns important clinical value in diagnosis, prevention and rehabilitation of cardiovascular disease (CVD). With the rapid development of Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI) and other advanced technologies, wearable ECG is playing an increasingly important role. With the aging process of the population, it is more and more urgent to upgrade the diagnostic mode of CVD. Using AI technology to assist the clinical analysis of long-term ECGs, and thus to improve the ability of early detection and prediction of CVD has become an important direction. Intelligent wearable ECG monitoring needs the collaboration between edge and cloud computing. Meanwhile, the clarity of medical scene is conducive for the precise implementation of wearable ECG monitoring. This paper first summarized the progress of AI-related ECG studies and the current technical orientation. Then three cases were depicted to illustrate how the AI in wearable ECG cooperate with the clinic. Finally, we demonstrated the two core issues—the reliability and worth of AI-related ECG technology and prospected the future opportunities and challenges.

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