Securing Internet-of-Medical-Things networks using cancellable ECG recognition.

Reinforcement of the Internet of Medical Things (IoMT) network security has become extremely significant as these networks enable both patients and healthcare providers to communicate with each other by exchanging medical signals, data, and vital reports in a safe way. To ensure the safe transmission of sensitive information, robust and secure access mechanisms are paramount. Vulnerabilities in these networks, particularly at the access points, could expose patients to significant risks. Among the possible security measures, biometric authentication is becoming a more feasible choice, with a focus on leveraging regularly-monitored biomedical signals like Electrocardiogram (ECG) signals due to their unique characteristics. A notable challenge within all biometric authentication systems is the risk of losing original biometric traits, if hackers successfully compromise the biometric template storage space. Current research endorses replacement of the original biometrics used in access control with cancellable templates. These are produced using encryption or non-invertible transformation, which improves security by enabling the biometric templates to be changed in case an unwanted access is detected. This study presents a comprehensive framework for ECG-based recognition with cancellable templates. This framework may be used for accessing IoMT networks. An innovative methodology is introduced through non-invertible modification of ECG signals using blind signal separation and lightweight encryption. The basic idea here depends on the assumption that if the ECG signal and an auxiliary audio signal for the same person are subjected to a separation algorithm, the algorithm will yield two uncorrelated components through the minimization of a correlation cost function. Hence, the obtained outputs from the separation algorithm will be distorted versions of the ECG as well as the audio signals. The distorted versions of the ECG signals can be treated with a lightweight encryption stage and used as cancellable templates. Security enhancement is achieved through the utilization of the lightweight encryption stage based on a user-specific pattern and XOR operation, thereby reducing the processing burden associated with conventional encryption methods. The proposed framework efficacy is demonstrated through its application on the ECG-ID and MIT-BIH datasets, yielding promising results. The experimental evaluation reveals an Equal Error Rate (EER) of 0.134 on the ECG-ID dataset and 0.4 on the MIT-BIH dataset, alongside an exceptionally large Area under the Receiver Operating Characteristic curve (AROC) of 99.96% for both datasets. These results underscore the framework potential in securing IoMT networks through cancellable biometrics, offering a hybrid security model that combines the strengths of non-invertible transformations and lightweight encryption.

COVID-19 associated mucormycosis in Assiut University Hospitals: a multidisciplinary dilemma.

Mucormycosis is a life-threatening opportunistic angioinvasive fungal infection. We aimed to describe the frequency, presentations, predictors, and in-hospital outcome of mucormycosis patients in the scope of CoronaVirusDisease-19 (COVID-19) during the third viral pandemic wave. This cross-sectional retrospective study included all patients who fulfilled the criteria of mucormycosis with concurrent confirmed covid19 infection admitted to Assuit University Hospital between March 2021 and July 2021. Overall, 433 patients with definite covid-19 infection, of which 33 (7.63%) participants were infected with mucormycosis. Mucormycosis was predominantly seen in males (21 vs. 12; p = 0.01). Diabetes mellitus (35% vs. 63.6%; p < 0.001), hypertension (2% vs.45.5%; p 0.04), and Smoking (26.5% vs. 54.5%; p < 0.001) were all significantly higher in mucormycosis patients. Inflammatory markers, especially E.S.R., were significantly higher in those with mucormycosis (p < 0.001). The dose of steroid intake was significantly higher among patients with mucormycosis (160 mg vs. 40 mg; p < 0.001). Except for only three patients alive by residual infection, 30 patients died. The majority (62%) of patients without mucormycosis were alive. Male sex; Steroid misuse; D.M.; Sustained inflammation; Severe infection were significant risk factors for mucormycosis by univariate analysis; however, D.M.; smoking and raised E.S.R. were predictors for attaining mucormycosis by multivariate analysis.

Efficient implementation of optical scanning holography in cancelable biometrics.

This paper presents a new trend in biometric security systems, which is cancelable multi-biometrics. In general, traditional biometric systems depend on a single biometric for identification. These traditional systems are subject to different types of attacks. In addition, a biometric signature may be lost in hacking scenarios; for example, in the case of intrusion, biometric signatures can be stolen forever. To reduce the risk of losing biometric signatures, the trend of cancelable biometrics has evolved by using either deformed or encrypted versions of biometrics for verification. In this paper, several biometric traits for the same person are treated to obtain a single cancelable template. First, optical scanning holography (OSH) is applied during the acquisition of each biometric. The resulting outputs are then compressed simultaneously to generate a unified template based on the energy compaction property of the discrete cosine transform (DCT). Hence, the OSH is used in the proposed approach as a tool to generate deformed versions of human biometrics in order to get the unified biometric template through DCT compression. With this approach, we guarantee the possibility of using multiple biometrics of the same user to increase security, as well as privacy of the new biometric template through utilization of the OSH. Simulation results prove the robustness of the proposed cancelable multi-biometric approach in noisy environments.

Construction and Standardization of Dementia Arabic Scale.

PURPOSE: Validated diagnostic scales for dementia in Arabic are still scarce. The aim of this study is to construct a standardized dementia scale for dementia diagnosis among the Arabic-speaking population. PATIENTS AND METHODS: Construction of the Dementia Arabic Scale (DAS) was done, followed by evaluation of content validity. A pilot study was done to ascertain feasibility and language clarity used in the scale. Patients diagnosed to have major neurocognitive disorder according to DSM-V criteria and control group were subjected to DAS, mini-mental state examination (MMSE) and Cognitive Abilities Screening Instrument (CASI). Finally, standardization of the scale and estimation of cutoff point, sensitivity, specificity, positive predictive value and negative predictive value of the newly constructed scale (DAS) were done. RESULTS: There is significant correlation between DAS and both MMSE and CASI on Pearson's correlation study. The internal consistency of the DAS scale was good, with Cronbach's alpha correlation coefficient of 0.88. At cut-off ≤95 for literate, and ≤68 for illiterate, the sensitivity of the DAS scale was 100%, 87% for literate and illiterate, respectively, while specificity was 84%, 96% respectively, with an area under the receiver operating characteristic curve of (AUC) 0.96. CONCLUSION: The DAS scale is an acceptable, reliable and valid scale for the diagnosis of dementia in Arabic-speaking countries.

Biallelic mutations in SORD cause a common and potentially treatable hereditary neuropathy with implications for diabetes.

Here we report biallelic mutations in the sorbitol dehydrogenase gene (SORD) as the most frequent recessive form of hereditary neuropathy. We identified 45 individuals from 38 families across multiple ancestries carrying the nonsense c.757delG (p.Ala253GlnfsTer27) variant in SORD, in either a homozygous or compound heterozygous state. SORD is an enzyme that converts sorbitol into fructose in the two-step polyol pathway previously implicated in diabetic neuropathy. In patient-derived fibroblasts, we found a complete loss of SORD protein and increased intracellular sorbitol. Furthermore, the serum fasting sorbitol levels in patients were dramatically increased. In Drosophila, loss of SORD orthologs caused synaptic degeneration and progressive motor impairment. Reducing the polyol influx by treatment with aldose reductase inhibitors normalized intracellular sorbitol levels in patient-derived fibroblasts and in Drosophila, and also dramatically ameliorated motor and eye phenotypes. Together, these findings establish a novel and potentially treatable cause of neuropathy and may contribute to a better understanding of the pathophysiology of diabetes.

Author Correction: Biallelic mutations in SORD cause a common and potentially treatable hereditary neuropathy with implications for diabetes.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.