Myocardial Proteomics Based on Smart Fog Computing and Its Application in Sports | Zendy

Fucai Zhang | Zendy; Yejin Wu | Zendy

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Myocardial Proteomics Based on Smart Fog Computing and Its Application in Sports

Author(s) -

Fucai Zhang,

Yejin Wu

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/1471916

Subject(s) - aerobic exercise , research object , computer science , proteome , scope (computer science) , proteomics , intensity (physics) , simulation , medicine , bioinformatics , physical therapy , chemistry , physics , gene , biology , programming language , geography , biochemistry , regional science , quantum mechanics

How to strengthen physical fitness to improve the effect and efficiency of sports is an important research direction worthy of research. In response to these problems and limitations, Smart Fog Computing technology is introduced in this paper. Taking rats as the research object, the effective quantitative analysis and research of aerobic exercise on myocardial proteome are achieved through combining the business scope of myocardial proteomics, and connecting corresponding continuous aerobic exercises, verified by simulation analysis. The simulation research results show that the smart fog calculation is effective. For moderate-intensity aerobic exercise, the expression and intensity of the corresponding myocardial protein are changed significantly, and the corresponding heart becomes larger; meanwhile, moderate aerobic exercise can improve the metabolism and enhance digestive ability.

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