IECE - Institute of Emerging and Computer Engineers

  • Sign Up Log in
    Log in

    • -
    CiteScore
    2.29
    Impact Factor
    1. Home
    2. Journals
    3. IECE Transactions on Internet of Things
    4. Volume 2, Issue 2
    Volume 2, Issue 2, IECE Transactions on Internet of Things
    Volume 2, Issue 2, 2024
    Submit Manuscript Edit a Special Issue
    Academic Editor
    Jinchao Chen
    Jinchao Chen
    School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China
    Article QR Code
    Article QR Code
    Scan the QR code for reading
    Popular articles
    Research on A Ship Trajectory Classification Method Based on Deep Learning YOLOv7-Bw: A Dense Small Object Efficient Detector Based on Remote Sensing Image Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval Visual Feature Extraction and Tracking Method Based on Corner Flow Detection Inaugural Editorial of the Chinese Journal of Information Fusion Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform
    IECE Transactions on Internet of Things, 2024, Volume 2, Issue 2: 44-49

    Free to Read | Research Article | 19 April 2024
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
    by
    IECE Author Qinghan Yang 1
    IECE Author Xinke Pan 1 *
    IECE Author Yuli Guo 1
    IECE Author Hongyue Qu 1
    1 Institute of Art and Design, Nanjing Institute of Technology, Nanjing 211167, China
    * Corresponding Author: Xinke Pan, [email protected]
    DOI: https://doi.org/10.62762/TIOT.2024.256200
    Received: 23 February 2024, Accepted: 03 April 2024, Published: 19 April 2024  
    Cited by: 1  (Source: Web of Science) , 1  (Source: Google Scholar)
       PDF  (4.09 MB)
    Article Metrics Cite This Article
    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-centered design principles. This study presents practical and feasible strategies that address the unique rehabilitation challenges faced by the elderly, providing a foundation for improving the quality of care and support in intelligent elderly care apartments.
    Graphical Abstract
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
    Keywords
    Smart pension
    Intelligent rehabilitation equipment
    Rehabilitation robot
    Elderly apartment emergency system
    Rehabilitation medical product system design
    Funding
    This work was supported without any funding.
    Cite This Article
    APA Style
    Yang, Q., Pan, X., Guo, Y., & Qu, H. (2024). Design of Rehabilitation Medical Product System For Elderly Apartment Based on Intelligent Endowment. IECE Transactions on Internet of Things, 2(2), 44–49. https://doi.org/10.62762/TIOT.2024.256200
    References
    1. Zhang Songlun. Preliminary Study on rehabilitation Elderly Care Service Model [C] Proceedings of the Eighth Beijing International Rehabilitation Forum (Volume 1). 2013:466-471.
      [Google Scholar]
    2. Liu Muqiao. Development trend of elderly rehabilitation medical services after China’s medical reform [C]. Commemorative Collection of the 25th anniversary celebration and Recognition activities of Chinese Minkang Medicine. 2012:92-99.
      [Google Scholar]
    3. Wu yue-qin. Investigation and analysis of physical examination status of elderly over 60 years old [J]. Chinese community physicians,2020,36(30):172-173.
      [Google Scholar]
    4. Zhuo Yongyue. Building "Public and private diversified services" geriatric rehabilitation hospital [J]. Hospital deans forum- journal of capital medical university (social science edition),2014,11(04):29-31.
      [Google Scholar]
    5. Lu Di, Chen Xuejiao, ZHANG Luyu, TIAN Qingfeng. Analysis of the demand of the combination of medical and nursing services for the elderly in institutional care: Based on the assessment of daily living ability [J]. Health Economics Research, 201,38(01):50-53.
      [Google Scholar]
    6. Guo Binye. Research on the design of rehabilitation medical products based on geriatric care [D]. North China University of Technology,2016.
      [Google Scholar]
    7. Chen J Y. Research on the model of combination of medical care and elderly health security under the background of healthy aging [D]. Huazhong University of Science and Technology,2019.
      [Google Scholar]
    8. Huang Yiqing. Brief Analysis of the status quo and development prospect of Rehabilitation medical device industry in China [J]. (China, 2019 (20) : 168.
      [Google Scholar]
    9. He Lulu, ZENG Zhilin. Geriatric rehabilitation medical product design based on user experience research [J]. Journal of shandong industrial technology, 2018 (17) : 246. DOI: 10.16640/j.carol carroll nki. 37-1222/t. 2018.17.216.
      [Google Scholar]
    10. Yang X. Analysis of factors influencing access to rehabilitation medical services in the context of population aging – a case study of Shanghai [J]. Shanghai Economy,2020(04):35-47.
      [Google Scholar]
    11. Ying LIyan. Research on the design status quo of medical institutions for geriatric rehabilitation at home and abroad [J]. Housing and Real Estate,2018(34):246-247.
      [Google Scholar]
    12. Yang Qian. Intelligent guardianship and medical auxiliary rehabilitation system design [J]. Journal of electronic test, 2019 (9) : 68-69+33. DOI: 10.16520/j.carol carroll nki. 1000-8519.2019.09.026.
      [Google Scholar]
    13. Zhang Songlun. Experience and Idea of combining elderly care service with rehabilitation medical service [C]. Dissemination of new rehabilitation Technologies and Promotion of new treatment Concepts – Proceedings of the 9th National Rehabilitation Academic Conference of Chinese Rehabilitation Medical Association. 2012:572-576.
      [Google Scholar]
    14. Zhang liang. Pension agency subdivided market entry strategies [J]. China, 2020(23):1-3. DOI: 10.13939/j.carol carroll nki ZGSC. 2020.23.001.
      [Google Scholar]
    15. Fang, F., Jizhen, L., & Wen, T. (2004). Nonlinear internal model control for the boiler-turbine coordinate systems of power unit. PROCEEDINGS-CHINESE SOCIETY OF ELECTRICAL ENGINEERING, 24(4), 195-199.
      [Google Scholar]
    16. Fang, F. A. N. G., Tan, W., & Liu, J. Z. (2005). Tuning of coordinated controllers for boiler-turbine units. Acta Automatica Sinica, 31(2), 291-296.
      [Google Scholar]
    17. Wang, N., Fang, F., & Feng, M. (2014, May). Multi-objective optimal analysis of comfort and energy management for intelligent buildings. In The 26th Chinese control and decision conference (2014 CCDC) (pp. 2783-2788). IEEE.
      [Google Scholar]
    Article Metrics
    Citations:

    Google Scholar
    1

    Crossref

    0

    Scopus

    1

    Web of Science

    1
    Article Access Statistics:
    Views: 1646
    PDF Downloads: 135
    Publisher's Note
    IECE stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
    Rights and permissions
    Institute of Emerging and Computer Engineers (IECE) or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
    IECE Transactions on Internet of Things

    IECE Transactions on Internet of Things

    ISSN: 2996-9298 (Online)

    Email: [email protected]

    Portico

    Portico

    All published articles are preserved here permanently:
    https://www.portico.org/publishers/iece/

    Copyright © 2024 Institute of Emerging and Computer Engineers Inc.