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  • Open Access

    ARTICLE

    IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine

    Muath Jarrah1, Hussam Al Hamadi4,*, Ahmed Abu-Khadrah2, Taher M. Ghazal1,3

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 19-33, 2023, DOI:10.32604/cmc.2023.032775 - 08 June 2023

    Abstract The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many factors, including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based technology. There is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising rapidly. The IoMT is a novel reality transforming our daily lives. It can renovate modern healthcare by delivering a more personalized, protective, and collaborative approach to care. However, More >

  • Open Access

    ARTICLE

    Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)

    S. Rajasekaran1,*, G. Kousalya2

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 985-1000, 2022, DOI:10.32604/csse.2022.022234 - 08 February 2022

    Abstract The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse… More >

  • Open Access

    ARTICLE

    Public Square Dancing Intervention on Subjective Well-Being of Middle-Aged and Elderly People: A Meta-Analysis

    Menglong Li1,*, Xia Jiang2, Yujia Ren1

    International Journal of Mental Health Promotion, Vol.24, No.1, pp. 129-142, 2022, DOI:10.32604/ijmhp.2022.016671 - 20 December 2021

    Abstract Objective: To understand the influence of public square dancing on the subjective well-being of middle-aged and elderly people. Methods: According to the principle of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we search Chinese databases, such as CNKI, Wanfang Data, and VIP, and English databases, such as Proquest, Web of Science, Pubmed, Cochrane, and ScienceDirect, and collect relevant articles at home and abroad from 2006 to December 2019 for meta-analysis in January 2020. Result: A total of 10 articles were included. The meta-analysis results showed that the well-being of middle-aged and elderly people in… More >

  • Open Access

    ARTICLE

    Vision Based Real Time Monitoring System for Elderly Fall Event Detection Using Deep Learning

    G. Anitha1,*, S. Baghavathi Priya2

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 87-103, 2022, DOI:10.32604/csse.2022.020361 - 02 December 2021

    Abstract Human fall detection plays a vital part in the design of sensor based alarming system, aid physical therapists not only to lessen after fall effect and also to save human life. Accurate and timely identification can offer quick medical services to the injured people and prevent from serious consequences. Several vision-based approaches have been developed by the placement of cameras in diverse everyday environments. At present times, deep learning (DL) models particularly convolutional neural networks (CNNs) have gained much importance in the fall detection tasks. With this motivation, this paper presents a new vision based… More >

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