Výsledky vyhledávání - "XinMiao Feng"

Akademický článek

Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN

Autor: HongYuan Lu, XinMiao Feng, Jing Zhang

Publikováno v: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-21 (2024)

Abstract This research study demonstrates an efficient scheme for early detection of cardiorespiratory complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for pattern generation and Convolution Neural Networks (CNN) for d

Externí odkaz: https://doaj.org/article/df5e7d86b2ad456586bd4b12d21d4e90

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Akademický článek

Comparative efficacy of concurrent training types on lower limb strength and muscular hypertrophy: A systematic review and network meta-analysis

Autor: Yonghui Chen, Xinmiao Feng, Lanmin Huang, Keli Wang, Jing Mi

Publikováno v: Journal of Exercise Science & Fitness, Vol 22, Iss 1, Pp 86-96 (2024)

Objective: This study aims to compare, through quantitative analysis, the effectiveness of different endurance training types on increasing lower limb strength and muscle cross-sectional area (MCSA) in concurrent training. Methods: This systematic li

Externí odkaz: https://doaj.org/article/32d1582ea1b442e28ff80a5e55d9862f

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Akademický článek

Effects of various living-low and training-high modes with distinct training prescriptions on sea-level performance: A network meta-analysis.

Autor: Xinmiao Feng, Yonghui Chen, Teishuai Yan, Hongyuan Lu, Chuangang Wang, Linin Zhao

Publikováno v: PLoS ONE, Vol 19, Iss 4, p e0297007 (2024)

This study aimed to separately compare and rank the effect of various living-low and training-high (LLTH) modes on aerobic and anaerobic performances in athletes, focusing on training intensity, modality, and volume, through network meta-analysis. We

Externí odkaz: https://doaj.org/article/74f5a278aca54e379b99ce9c5afc268a

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Akademický článek

Optimal type and dose of hypoxic training for improving maximal aerobic capacity in athletes: a systematic review and Bayesian model-based network meta-analysis

Autor: Xinmiao Feng, Linlin Zhao, Yonghui Chen, Zihao Wang, Hongyuan Lu, Chuangang Wang

Publikováno v: Frontiers in Physiology, Vol 14 (2023)

Objective: This study aimed to compare and rank the effect of hypoxic practices on maximum oxygen consumption (VO2max) in athletes and determine the hypoxic dose-response correlation using network meta-analysis.Methods: The Web of Science, PubMed, EM

Externí odkaz: https://doaj.org/article/50aba4faf01d406d9d3ad55bfee5bb94

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VisTravel: visualizing tourism network opinion from the user generated content

Autor: Xinmiao Feng, Song Wang, Yadong Wu, Maosong Lin, Qiusheng Li, Haiyang Wang

Publikováno v: Journal of Visualization. 19:489-502

With the development of Internet, an increasing number of people choose to travel during the holidays and post travel information on the tourism products and services through the smart devices anytime and anywhere. Because tourism network opinions ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ee2ffe20a25041fb7bb6bade02305f8
https://doi.org/10.1007/s12650-015-0330-x

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