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  • Open Access


    Energy-efficient and Secure Wireless Communication for Telemedicine in IoT

    Shital Joshi1, S. Manimurugan2,3, Ahamed Aljuhani2,*, Umar Albalawi2, Amer Aljaedi2

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1111-1130, 2022, DOI:10.32604/csse.2022.024802

    Abstract The Internet of Things (IoT) represents a radical shifting paradigm for technological innovations as it can play critical roles in cyberspace applications in various sectors, such as security, monitoring, medical, and environmental sectors, and also in control and industrial applications. The IoT in E-medicine unleashed the design space for new technologies to give instant treatment to patients while also monitoring and tracking health conditions. This research presents a system-level architecture approach for IoT energy efficiency and security. The proposed architecture includes functional components that provide privacy management and system security. Components in the security function group provide secure communications through… More >

  • Open Access


    Robust Reversible Audio Watermarking Scheme for Telemedicine and Privacy Protection

    Xiaorui Zhang1,2,*, Xun Sun1, Xingming Sun1, Wei Sun3, Sunil Kumar Jha4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3035-3050, 2022, DOI:10.32604/cmc.2022.022304

    Abstract The leakage of medical audio data in telemedicine seriously violates the privacy of patients. In order to avoid the leakage of patient information in telemedicine, a two-stage reversible robust audio watermarking algorithm is proposed to protect medical audio data. The scheme decomposes the medical audio into two independent embedding domains, embeds the robust watermark and the reversible watermark into the two domains respectively. In order to ensure the audio quality, the Hurst exponent is used to find a suitable position for watermark embedding. Due to the independence of the two embedding domains, the embedding of the second-stage reversible watermark will… More >

  • Open Access


    Developing Secure Healthcare Video Consultations for Corona Virus (COVID-19) Pandemic

    Mohammed A. AlZain1,*, Jehad F. Al-Amri1, Ahmed I. Sallam2, Emad Sami Jaha3, Sultan S. Alshamrani1, Hala S. El-Sayed4, Osama S. Faragallah1

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1627-1640, 2022, DOI:10.32604/iasc.2022.020137

    Abstract Many health networks became increasingly interactive in implementing a consulting approach to telemedicine before the COVID-19 pandemic. To mitigate patient trafficking and reduce the virus exposure in health centers, several GPs, physicians and people in the video were consulted during the pandemic at the start. Video and smartphone consultations will allow well-insulated and high-risk medical practitioners to maintain their patient care security. Video appointments include diabetes, obesity, hypertension, stroke, mental health, chemotherapy and chronic pain. Many urgent diseases, including an emergency triage for the eye, may also be used for online consultations and triages. The COVID-19 pandemic shows that healthcare… More >

  • Open Access


    Artifacts Reduction Using Multi-Scale Feature Attention Network in Compressed Medical Images

    Seonjae Kim, Dongsan Jun*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3267-3279, 2022, DOI:10.32604/cmc.2022.020651

    Abstract Medical image compression is one of the essential technologies to facilitate real-time medical data transmission in remote healthcare applications. In general, image compression can introduce undesired coding artifacts, such as blocking artifacts and ringing effects. In this paper, we proposed a Multi-Scale Feature Attention Network (MSFAN) with two essential parts, which are multi-scale feature extraction layers and feature attention layers to efficiently remove coding artifacts of compressed medical images. Multi-scale feature extraction layers have four Feature Extraction (FE) blocks. Each FE block consists of five convolution layers and one CA block for weighted skip connection. In order to optimize the… More >

  • Open Access


    Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

    Kamred Udham Singh1, Hatem Salem Abu-Hamatta2, Abhishek Kumar3, Achintya Singhal4, Mamoon Rashid5,*, A. K. Bashir6

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2525-2542, 2022, DOI:10.32604/cmc.2022.019302

    Abstract Teleradiology plays a vital role in the medical field, which permits transmitting medical and imaging data over a communication network. It ensures data reliability and provides convenient communication for clinical interpretation and diagnostic purposes. The transmission of this medical data over a network raises the problems of legal, ethical issues, privacy, and copyright authenticity. The copyright protection of medical images is a significant issue in the medical field. Watermarking schemes are used to address these issues. A gray-level or binary image is used as a watermark frequently in color image watermarking schemes. In this paper, the authors propose a novel… More >

  • Open Access


    Visual Protection Using RC5 Selective Encryption in Telemedicine

    Osama S. Faragallah1,*, Ahmed I. Sallam2, Hala S. El-sayed3

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 177-190, 2022, DOI:10.32604/iasc.2022.019348

    Abstract The dissemination of the COVID-19 viruses now extends the usage of video consultations to share perspectives and virtual medical consultations, save expenses and health procedures, track the success of care proposals with detail, consistency, and ease from moment to time. The research aims to study the security of video consultations. We will also present the advantages and disadvantages of video consultations and the complications of their implementation. This paper mainly proposes a practical, high-efficiency video encoding technique for the new video encoding technique (HEVC) used in video consultations. The technology offered uses the RC5 block encryption algorithm for encrypting the… More >

  • Open Access


    Development of a Web-Based Telemedicine System for Covid-19 Patients

    Morshedul Bari Antor1, A. H. M. Shafayet Jamil1, Maliha Mamtaz1, Mohammad Monirujjaman Khan1,*, Sultan S. Alshamrani2, Mehedi Masud3

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 899-915, 2021, DOI:10.32604/iasc.2021.018914

    Abstract In the Covid-19 pandemic, people have been very concerned about the safety and are avoiding crowded places like hospitals. An online telemedicine web-based technology can help to overcome this situation. This paper presents an online telemedicine system that helps to promote collaboration between doctors, hospitals, and patients. The system allows doctors to serve patients from remote areas. The system also allows both doctors and patients to communicate through video calls or text messages. Patients using the system can store information about their health, search for doctors, and consult medical professionals using text messages and video calls. Doctors can also register… More >

  • Open Access


    Steganography-Based Transmission of Medical Images Over Unsecure Network for Telemedicine Applications

    Romany F. Mansour1,*, Moheb R. Girgis2

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 4069-4085, 2021, DOI:10.32604/cmc.2021.017064

    Abstract Steganography is one of the best techniques to hide secret data. Several steganography methods are available that use an image as a cover object, which is called image steganography. In image steganography, the major features are the cover object quality and hiding data capacity. Due to poor image quality, attackers could easily hack the secret data. Therefore, the hidden data quantity should be improved, while keeping stego-image quality high. The main aim of this study is combining several steganography techniques, for secure transmission of data without leakage and unauthorized access. In this paper, a technique, which combines various steganography-based techniques,… More >

  • Open Access


    Tele-COVID: A Telemedicine SOA-Based Architectural Design for COVID-19 Patients

    Asadullah Shaikh*, Mana Saleh AlReshan, Yousef Asiri, Adel Sulaiman, Hani Alshahrani

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 549-576, 2021, DOI:10.32604/cmc.2021.014813

    Abstract In Wuhan, China, a novel Corona Virus (COVID-19) was detected in December 2019; it has changed the entire world and to date, the number of diagnosed cases is 38,756,2891 and 1,095,2161 people have died. This happened because a large number of people got affected and there is a lack of hospitals for COVID-19 patients. One of the precautionary measures for COVID-19 patients is isolation. To support this, there is an urgent need for a platform that makes treatment possible from a distance. Telemedicine systems have been drastically increasing in number and size over recent years. This increasing number intensifies the… More >

  • Open Access


    Suitability of VVC and HEVC for Video Telehealth Systems

    Muhammad Arslan Usman1,4,*, Muhammad Rehan Usman2, Rizwan Ali Naqvi3, Bernie Mcphilips4, Christopher Romeika4, Daniel Cunliffe4, Christos Politis1, Nada Philip1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 529-547, 2021, DOI:10.32604/cmc.2021.014614

    Abstract Video compression in medical video streaming is one of the key technologies associated with mobile healthcare. Seamless delivery of medical video streams over a resource constrained network emphasizes the need of a video codec that requires minimum bitrates and maintains high perceptual quality. This paper presents a comparative study between High Efficiency Video Coding (HEVC) and its potential successor Versatile Video Coding (VVC) in the context of healthcare. A large-scale subjective experiment comprising of twenty-four non-expert participants is presented for eight different test conditions in Full High Definition (FHD) videos. The presented analysis highlights the impact of compression artefacts on… More >

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