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Internet of things-enabled real-time health monitoring system using deep learning

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Abstract

Smart healthcare monitoring systems are proliferating due to the Internet of Things (IoT)-enabled portable medical devices. The IoT and deep learning in the healthcare sector prevent diseases by evolving healthcare from face-to-face consultation to telemedicine. To protect athletes’ life from life-threatening severe conditions and injuries in training and competitions, real-time monitoring of physiological indicators is critical. In this research work, we present a deep learning-based IoT-enabled real-time health monitoring system. The proposed system uses wearable medical devices to measure vital signs and apply various deep learning algorithms to extract valuable information. For this purpose, we have taken Sanda athletes as our case study. The deep learning algorithms help physicians properly analyze these athletes’ conditions and offer the proper medications to them, even if the doctors are away. The performance of the proposed system is extensively evaluated using a cross-validation test by considering various statistical-based performance measurement metrics. The proposed system is considered an effective tool that diagnoses dreadful diseases among the athletes, such as brain tumors, heart disease, cancer, etc. The performance results of the proposed system are evaluated in terms of precision, recall, AUC, and F1, respectively.

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Authors and Affiliations

  1. Physical Education Department, Institute of Disaster Prevention, Langfang, 065201, Hebei, China

    Xingdong Wu

  2. Institute of Physical Education, Hengshui University, Hengshui, 053000, Hebei, China

    Chao Liu

  3. Institute of Physical Education, Soochow University, 215000, Suzhou, Jiangsu, China

    Lijun Wang

  4. Institute of Physical Education and Health, Yulin Normal University, Yulin, 537000, Guangxi, China

    Lijun Wang

  5. Hankuk University of Foreign Studies, Yongin-si, Republic of Korea

    Muhammad Bilal

Authors
  1. Xingdong Wu
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  2. Chao Liu
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  4. Muhammad Bilal
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Correspondence to Chao Liu.

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Wu, X., Liu, C., Wang, L. et al. Internet of things-enabled real-time health monitoring system using deep learning. Neural Comput & Applic 35, 14565–14576 (2023). https://doi.org/10.1007/s00521-021-06440-6

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  • DOI: https://doi.org/10.1007/s00521-021-06440-6

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