Mesfer AI Duhayyim¹, Fahd N. Al-Wesabi², Radwa Marzouk³, Abdalla Ibrahim Abdalla Musa⁴, Noha Negm⁵, Anwer Mustafa Hilal⁶, Manar Ahmed Hamza^6,*, Mohammed Rizwanullah⁶

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4135-4149, 2022, DOI:10.32604/cmc.2022.022336 - 07 December 2021

Abstract Internet of Medical Things (IoMT) is a breakthrough technology in the transfer of medical data via a communication system. Wearable sensor devices collect patient data and transfer them through mobile internet, that is, the IoMT. Recently, the shift in paradigm from manual data storage to electronic health recording on fog, edge, and cloud computing has been noted. These advanced computing technologies have facilitated medical services with minimum cost and available conditions. However, the IoMT raises a high concern on network security and patient data privacy in the health care system. The main issue is the… More >

Taher M. Ghazal^1,2,*, Mohammad Kamrul Hasan¹, Siti Norul Huda Abdullah¹, Khairul Azmi Abubakkar¹, Mohammed A. M. Afifi²

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2579-2597, 2022, DOI:10.32604/cmc.2022.019706 - 07 December 2021

Abstract Smart healthcare applications depend on data from wearable sensors (WSs) mounted on a patient’s body for frequent monitoring information. Healthcare systems depend on multi-level data for detecting illnesses and consequently delivering correct diagnostic measures. The collection of WS data and integration of that data for diagnostic purposes is a difficult task. This paper proposes an Errorless Data Fusion (EDF) approach to increase posture recognition accuracy. The research is based on a case study in a health organization. With the rise in smart healthcare systems, WS data fusion necessitates careful attention to provide sensitive analysis of… More >

Chaoyang Li^1,*, Yalan Wang², Gang Xu³, Xiubo Chen⁴, Xiangjun Xin¹, Jian Li⁴

Journal of Cyber Security, Vol.3, No.4, pp. 207-216, 2021, DOI:10.32604/jcs.2021.026926 - 09 February 2022

Abstract Along with the increase of wearable medical device, the privacy leakage problem in the process of transmission between these edge medical devices. The blockchain-enabled Internet of Medical Things (BIoMT) has been developed to reform traditional centralized medical system in recent years. This paper first introduces a data anonymous authentication model to protect user privacy and medical data in BIoMT. Then, a proxy group signature (PGS) scheme has been proposed based on lattice assumption. This scheme can well satisfy the anonymous authentication demand for the proposed model, and provide anti-quantum attack security for BIoMT in the More >

Tahir Abbas Khan¹, Sagheer Abbas¹, Allah Ditta², Muhammad Adnan Khan^{3, *}, Hani Alquhayz⁴, Areej Fatima³, Muhammad Farhan Khan⁵

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2591-2605, 2020, DOI:10.32604/cmc.2020.011892 - 16 September 2020

Abstract The prediction of human diseases, particularly COVID-19, is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment. To deal with the prediction and diagnosis of COVID-19, we propose an Internet of Medical Things-based Smart Monitoring Hierarchical Mamdani Fuzzy Inference System (IoMTSM-HMFIS). The proposed system determines the various factors like fever, cough, complete blood count, respiratory rate, Ct-chest, Erythrocyte sedimentation rate and C-reactive protein, family history, and antibody detection (lgG) that are directly involved in COVID-19. The expert system has two input variables in layer… More >

Baili Zhang^{1, 2, 3, *}, Shan Zhou¹, Le Yang¹, Jianhua Lv^{1, 2}, Mingjun Zhong⁴

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 1975-1986, 2020, DOI:10.32604/cmc.2020.010914 - 16 September 2020

Abstract The Internet of Medical Things (IoMT) will come to be of great importance in the mediation of medical disputes, as it is emerging as the core of intelligent medical treatment. First, IoMT can track the entire medical treatment process in order to provide detailed trace data in medical dispute resolution. Second, IoMT can infiltrate the ongoing treatment and provide timely intelligent decision support to medical staff. This information includes recommendation of similar historical cases, guidance for medical treatment, alerting of hired dispute profiteers etc. The multi-label classification of medical dispute documents (MDDs) plays an important… More >