فهرس المقالات Internet of Medical Things

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  1 - Revolutionizing Healthcare: The Role of the Internet of Things in the Field of Medical Engineering
  sina emadi
  The rapid evolution of healthcare technology has witnessed the emergence of the Internet of Things (IoT) as a transformative force in the field of medical engineering. This article delves into the intricate world of IoT applications within medical engineering, exploring أکثر

  The rapid evolution of healthcare technology has witnessed the emergence of the Internet of Things (IoT) as a transformative force in the field of medical engineering. This article delves into the intricate world of IoT applications within medical engineering, exploring its vast potential to reshape patient care, diagnosis, treatment, and healthcare management. The IoT ecosystem in medical engineering forms a complex network of interconnected devices, enabling seamless communication and data exchange. From remote patient monitoring to predictive analytics and efficient resource allocation, the applications of IoT are wide-ranging and impactful. Despite its promises, challenges such as data security, interoperability, and regulatory compliance must be addressed. The article also envisions the future of IoT in medical engineering, highlighting the integration of artificial intelligence, enhanced healthcare accessibility, real-time interventions, and personalized healthcare. As the boundaries of technology continue to expand, the convergence of IoT and medical engineering promises to revolutionize healthcare delivery and elevate patient outcomes to unprecedented levels تفاصيل المقالة
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  2 - Transmission of Medical Images Based on Multi-mode Synchronization of Delayed Fractional-Order Coullete Chaotic Systems
  Ali Akbar Kekha Javan Assef Zare Saeed Balochian
  In this study, a safety mechanism is used for the transmission of medical data with disturbance and unknown parameters and unknown time delays using a new communication method. A new synchronization method for Fractional Order Systems (FOCS) for encryption of medical im أکثر

  In this study, a safety mechanism is used for the transmission of medical data with disturbance and unknown parameters and unknown time delays using a new communication method. A new synchronization method for Fractional Order Systems (FOCS) for encryption of medical images based on the Coullete system with unknown time delay is proposed. In the proposed method, the control laws are determined using the Lyapunov stability theorem such that the convergence of the synchronization error to zero is guaranteed. In this study, multiple state synchronization is performed in the presence of disturbance and unknown time delay. The control laws are determined using the Lyapunov function such that the synchronization and estimation errors converge to zero. For medical color images encryption, we use the fractional-order chaotic synchronization system alongside the chaos masking technique. To test the efficiency of the proposed method in medical image transmission, various statistical parameters such as histogram, correlation, number of pixel change rate (NPCR), signal to peak noise ratio (PSNR), and information entropy are calculated. According to the values obtained for Entropy=7.8596, Correlation=0.9999, etc., the results show successfully encrypts the medical color images. تفاصيل المقالة