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    Volume 2, Issue 2 - Table of Contents
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    June (2024), pp.36-54, 3 articles, DOI: 10.62762/TIOTVOL2.NO2
    Citations: 0, 0   |   Viewed: 4209, Download: 389
    Free Access | Research Article | 23 May 2024
    Machine Learning-Based Prediction of Cardiovascular Diseases
    by
    Weicheng Sun
    ,
    Ping Zhang
    ,
    Zilin Wang
    ,
    Dongxu Li
    IECE Transactions on Internet of Things | Volume 2, Issue 2: 50-54, 2024 | DOI:10.62762/TIOT.2024.128976
    Abstract
    With the rapid development of artificial intelligence, extracting latent information from medical data has become increasingly critical. Cardiovascular disease is now a major threat to human health, being one of the leading causes of mortality. Therefore, developing effective prediction methods for cardiovascular diseases is urgently needed. Current medical approaches primarily focus on disease detection rather than prediction, which limits early intervention. By leveraging computational methods, it is possible to predict cardiovascular disease in advance, enabling timely treatment and potentially reducing the disease’s impact. This study employs machine learning techniques, including Supp... More >
    Graphical Abstract
    Machine Learning-Based Prediction of Cardiovascular Diseases
    Free Access | Research Article | 19 April 2024
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
    by
    Qinghan Yang
    ,
    Xinke Pan
    ,
    Yuli Guo
    ,
    Hongyue Qu
    IECE Transactions on Internet of Things | Volume 2, Issue 2: 44-49, 2024 | DOI:10.62762/TIOT.2024.256200
    Abstract
    This paper aims to design a rehabilitation medical product system tailored to the needs of future intelligent elderly care environments, with the goal of enhancing the efficiency of rehabilitation training for older adults. Through an in-depth analysis of the anticipated medical needs in elderly care apartments, we propose a comprehensive design concept for a rehabilitation medical product system. The design is approached from three key perspectives: products, services, and systems, ensuring that it aligns with the healthcare requirements specific to elderly care settings. The proposed solutions focus on optimizing rehabilitation training by integrating intelligent technologies and user-cent... More >
    Graphical Abstract
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
    Free Access | Research Article | 07 April 2024
    Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels
    by
    Yue Zhao
    ,
    Xingdong Wang
    ,
    Changfeng Luo
    IECE Transactions on Internet of Things | Volume 2, Issue 2: 36-43, 2024 | DOI:10.62762/TIOT.2024.528361
    Abstract
    Sea ice is a crucial component of the cryosphere, and extensive research has been conducted on sea ice using microwave remote sensing due to its robustness against cloud cover and illumination variations. This paper focuses on classifying Arctic sea ice based on microwave remote sensing data. Leveraging the high stability of microwave radiometers, we analyze the characteristics of different sea ice types across the Arctic region in January 2017 using high-resolution AMSR-E/AMSR2 data at the 89 GHz frequency band. Data at this frequency are less susceptible to cloud and water vapor interference, while lower frequency bands have traditionally been more commonly used in similar studies. However... More >
    Graphical Abstract
    Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels