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  • Open Access

    ARTICLE

    Human Fatty Liver Monitoring Using Nano Sensor and IoMT

    Srilekha Muthukaruppankaruppiah1,*, Shanker Rajendiran Nagalingam2, Priya Murugasen3, Rajesh Nandaamarnath4

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2309-2323, 2023, DOI:10.32604/iasc.2023.029598 - 19 July 2022

    Abstract Malfunction of human liver happens due to non-alcoholic fatty liver. Fatty liver measurement is used for grading hepatic steatosis, fibrosis and cirrhosis. The various imaging techniques for measuring fatty liver are Magnetic Resonance Imaging, Ultrasound and Computed Tomography. Imaging modalities lead to the exposure of harmful radiation of electromagnetic waves because of frequent measurement. The continuous monitoring of fatty liver is never achieved through imaging techniques. In this paper, the human fatty liver measured through a Fatty Liver Sensor (FLS). The continuous monitoring of the fatty liver is achieved through the FLS. FLS is fabricated… More >

  • Open Access

    ARTICLE

    Hybrid Smart Contracts for Securing IoMT Data

    D. Palanikkumar1, Adel Fahad Alrasheedi2, P. Parthasarathi3, S. S. Askar2, Mohamed Abouhawwash4,5,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 457-469, 2023, DOI:10.32604/csse.2023.024884 - 01 June 2022

    Abstract Data management becomes essential component of patient healthcare. Internet of Medical Things (IoMT) performs a wireless communication between E-medical applications and human being. Instead of consulting a doctor in the hospital, patients get health related information remotely from the physician. The main issues in the E-Medical application are lack of safety, security and privacy preservation of patient’s health care data. To overcome these issues, this work proposes block chain based IoMT Processed with Hybrid consensus protocol for secured storage. Patients health data is collected from physician, smart devices etc. The main goal is to store More >

  • Open Access

    ARTICLE

    Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT

    G. Ravikumar1, K. Venkatachalam2, Mohammed A. AlZain3, Mehedi Masud4, Mohamed Abouhawwash5,6,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 945-959, 2023, DOI:10.32604/csse.2023.024605 - 01 June 2022

    Abstract Sleep apnea syndrome (SAS) is a breathing disorder while a person is asleep. The traditional method for examining SAS is Polysomnography (PSG). The standard procedure of PSG requires complete overnight observation in a laboratory. PSG typically provides accurate results, but it is expensive and time consuming. However, for people with Sleep apnea (SA), available beds and laboratories are limited. Resultantly, it may produce inaccurate diagnosis. Thus, this paper proposes the Internet of Medical Things (IoMT) framework with a machine learning concept of fully connected neural network (FCNN) with k-nearest neighbor (k-NN) classifier. This paper describes More >

  • Open Access

    ARTICLE

    Proof of Activity Protocol for IoMT Data Security

    R. Rajadevi1, K. Venkatachalam2, Mehedi Masud3, Mohammed A. AlZain4, Mohamed Abouhawwash5,6,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 339-350, 2023, DOI:10.32604/csse.2023.024537 - 01 June 2022

    Abstract The Internet of Medical Things (IoMT) is an online device that senses and transmits medical data from users to physicians within a time interval. In, recent years, IoMT has rapidly grown in the medical field to provide healthcare services without physical appearance. With the use of sensors, IoMT applications are used in healthcare management. In such applications, one of the most important factors is data security, given that its transmission over the network may cause obtrusion. For data security in IoMT systems, blockchain is used due to its numerous blocks for secure data storage. In… More >

  • Open Access

    ARTICLE

    Improved Metaheuristics with Machine Learning Enabled Medical Decision Support System

    Sara A. Althubiti1, José Escorcia-Gutierrez2,3,*, Margarita Gamarra4, Roosvel Soto-Diaz5, Romany F. Mansour6, Fayadh Alenezi7

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2423-2439, 2022, DOI:10.32604/cmc.2022.028878 - 16 June 2022

    Abstract Smart healthcare has become a hot research topic due to the contemporary developments of Internet of Things (IoT), sensor technologies, cloud computing, and others. Besides, the latest advances of Artificial Intelligence (AI) tools find helpful for decision-making in innovative healthcare to diagnose several diseases. Ovarian Cancer (OC) is a kind of cancer that affects women’s ovaries, and it is tedious to identify OC at the primary stages with a high mortality rate. The OC data produced by the Internet of Medical Things (IoMT) devices can be utilized to differentiate OC. In this aspect, this paper… More >

  • Open Access

    ARTICLE

    COVID-19 Imaging Detection in the Context of Artificial Intelligence and the Internet of Things

    Xiaowei Gu1,#, Shuwen Chen1,2,#,*, Huisheng Zhu1, Mackenzie Brown3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 507-530, 2022, DOI:10.32604/cmes.2022.018948 - 15 June 2022

    Abstract Coronavirus disease 2019 brings a huge burden on the medical industry all over the world. In the background of artificial intelligence (AI) and Internet of Things (IoT) technologies, chest computed tomography (CT) and chest X-ray (CXR) scans are becoming more intelligent, and playing an increasingly vital role in the diagnosis and treatment of diseases. This paper will introduce the segmentation of methods and applications. CXR and CT diagnosis of COVID-19 based on deep learning, which can be widely used to fight against COVID-19. More >

  • Open Access

    ARTICLE

    Fog-based Self-Sovereign Identity with RSA in Securing IoMT Data

    A. Jameer Basha1, N. Rajkumar2, Mohammed A. AlZain3, Mehedi Masud4, Mohamed Abouhawwash5,6,*

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1693-1706, 2022, DOI:10.32604/iasc.2022.024714 - 25 May 2022

    Abstract In the healthcare applications, Internet of Medical Things (IoMT) comforts the communication processes between the medical devices and the humans via wireless network. Moreover, this communication helps both the physicians and the patients to contact remotely for the diagnosis of the disease’s wearable devices sensor signals. However, IoMT system violates the privacy preserving of Patient’s Health Record (PHR) as well as self-sovereign identity of patient. In this regard, security action should be taken. Previous techniques used in IoMT are in lack of data consistency, confidentiality, and inaccessible of data. To overcome these issues, the fog computing-based… More >

  • Open Access

    ARTICLE

    Crypto Hash Based Malware Detection in IoMT Framework

    R Punithavathi1, K Venkatachalam2, Mehedi Masud3, Mohammed A. AlZain4, Mohamed Abouhawwash5,6,*

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 559-574, 2022, DOI:10.32604/iasc.2022.024715 - 15 April 2022

    Abstract The challenges in providing e-health services with the help of Internet of Medical Things (IoMT) is done by connecting to the smart medical devices. Through IoMT sensor devices/smart devices, physicians share the sensitive information of the patient. However, protecting the patient health care details from malware attack is necessary in this advanced digital scenario. Therefore, it is needed to implement cryptographic algorithm to enhance security, safety, reliability, preventing details from malware attacks and privacy of medical data. Nowadays blockchain has become a prominent technology for storing medical data securely and transmit through IoMT concept. The… More >

  • Open Access

    ARTICLE

    Intelligent Cloud IoMT Health Monitoring-Based System for COVID-19

    Hameed AlQaheri1,*, Manash Sarkar2, Saptarshi Gupta3, Bhavya Gaur4

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 497-517, 2022, DOI:10.32604/cmc.2022.022735 - 24 February 2022

    Abstract The most common alarming and dangerous disease in the world today is the coronavirus disease 2019 (COVID-19). The coronavirus is perceived as a group of coronaviruses which causes mild to severe respiratory diseases among human beings. The infection is spread by aerosols emitted from infected individuals during talking, sneezing, and coughing. Furthermore, infection can occur by touching a contaminated surface followed by transfer of the viral load to the face. Transmission may occur through aerosols that stay suspended in the air for extended periods of time in enclosed spaces. To stop the spread of the… More >

  • Open Access

    ARTICLE

    Cost Efficient Scheduling Using Smart Contract Cognizant Ethereum for IoMT

    G. Ravikumar1, K. Venkatachalam2, Mehedi Masud3, Mohamed Abouhawwash4,5,*

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 865-877, 2022, DOI:10.32604/iasc.2022.024278 - 08 February 2022

    Abstract Recently internet of medical things (IoMT) act as a smart doctor using sensor wearable’s device in human body. This smart doctor device senses necessary medical data from human and transfer via network immediately to physician. It is important to transfer sensitive data very securely. Blockchain becomes trending technology to provide high security to both end users in the network. Traditionally security structure is relying on cryptographic techniques which is very expensive and takes more time in securely transmitting data. To overcome this issue, this paper builds a cost effective, blockchain with IoMT using fog-cloud computing.… More >

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