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Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the health data from the patient are monitored using IoT technology. Arrhythmias may suddenly lead to death and the classification of arrhythmias is considered a complicated process. In this research, an effective classification model for the classification of heart disease is developed using flamingo optimization. Initially, the ECG signal from the heart is collected and then it is subjected to the preprocessing stage; to detect and control the electrical activity of the heart, the electrocardiogram (ECG) is used. The input signals collected using IoT nodes are collectively presented in the base station for the classification using flamingo-optimization-based deep convolutional networks, which effectively predict the disease. With the aid of communication technologies and the contribution of IoT, medical professionals can easily monitor the health condition of patients. The performance is analyzed in terms of accuracy, sensitivity, and specificity.
Assuntos
Arritmias Cardíacas , Redes Neurais de Computação , Humanos , Animais , Arritmias Cardíacas/diagnóstico , Eletrocardiografia , Aves , Frequência Cardíaca , Algoritmos , Processamento de Sinais Assistido por ComputadorRESUMO
Contributing to Vision 2030, Saudi higher educational institutions (HEIs) must reform their education system, reevaluate their potentialities, and priorities to support higher education development in achieving the Vision theme. With this goal, several educational innovation projects have been introduced to attain the vision's higher educational development strategic objectives. This study investigates the HEIs' current practices and analyses their achievements and the progress toward achieving the Vision's higher education development goals for the first review cycle (2016-2020) of the Vision. Academic expert interviews and surveys were conducted involving participants from the top ten Saudi universities to know how these institutions contribute to the Vision progress using an innovative approach. Juxtaposing HEIs' potential and priorities with the Vision's higher educational objectives to determine the development progress. The findings reveal that the most sought priorities are the new modern curriculum, industry-based academic learning outcomes, skilled graduates, faculty development, innovative research, foreign universities collaborations, accreditations, and lifelong learning focusing on future skills. The tendency of these priorities works on higher education development, improving professional competency, filling the gaps between higher education outcomes and the growing market needs, revitalizing universities, and linking to knowledge base society. The presented approach will be an effective tool for understanding how specifically these entities contribute toward achieving the vision's targets. It is a significant model for future studies, useful for analyses of higher education potentialities' performances, and enhances readers' understanding.
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BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a progressive condition with right ventricular myocardium being replaced by fibro-fatty tissue. The spectrum of the expression may range from benign palpitations to the most malignant sudden death. Most of the mutations identified for the condition are localized in desmosomal proteins although three other nondesmosomal genes (cardiac ryanodine receptor-2, TGF-ß3, and TMEM43) have also been implicated in ARVC. Both desmosomal and nondesmosomal genes were screened in a set of patients from local population. MATERIALS AND METHODS: A set of 34 patients from local population were included in this study. Diagnosis was based on the criteria proposed by task force of European Society of Cardiology/International Society and Federation of Cardiology. Polymerase chain reaction-based single-strand conformation polymorphism analysis was carried out, and samples with abnormal band pattern were commercially sequenced. RESULTS: Screening of cardiac ryanodine receptor revealed an insertion of a base in the intronic region of exon-28 in a patient, leading to a creation of a cryptic splice site. Screening of plakohilin-2 for mutations revealed an abnormal band pattern in three patients. Two of them had similar abnormal band pattern for exon-3.1. Sequencing revealed a novel 2 base pair deletion (433_434 delCT), which would lead to premature truncation of the protein (L145EfsX8). Another patient showed abnormal band pattern for exon-3.2 and sequencing revealed a missense mutation C792T leading to amino acid change P244L, in N-terminal, and this substitution may cause disturbances in the various protein-protein interactions. CONCLUSION: This study reports novel cardiac ryanodine receptor (RyR-2) mutations and Pkp-2 for the first time from Indian population.
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OBJECTIVE: Among the inherited cardiomyopathies, Arrhythmogenic right ventricular dysplasia/cardiomyopathy is unique with a peculiar pathology of fibro-fatty replacement. Studies have been carried out all over the world and several groups have reported clinical heterogeneity in manifestation of ARVD/C related symptoms. Present study is an attempt to identify the clinical profile of ARVD/C patients from Asian Indian origin. METHODS: 31 patients in the span of three years were diagnosed with ARVD/C. Diagnosis was based on proposed task force criteria. RESULTS: The mean age at diagnosis was 32.9 +/- 16.4 years with slight tilt in male to female ratio (1.46). About 80% cases had palpitations, syncope in 45.16% and dyspnea in 22.5%, whereas 16% of patients were asymptomatic. About 50% of patients revealed a family history of confirmed ARVD/C or sudden death of a family member without any known cause. ECG showed T-wave inversion in about 60% cases, prolongation of QRS was observed in 20% cases. RV dilatation was observed in 80% of patients and 66.7% showed systolic dysfunction. RV free wall motion abnormalities were found in 33% patients. Most of the early onset cases with less than 30 years of age showed family history indicative of ARVD/C. Familial study in three patients indicated early onset of condition in younger generations in two families. CONCLUSIONS: ARVD/C in India shows relatively early age at onset when compared with other Asian populations with more than half of patients showing the disease below the age of 30 years. History in most of the early onset cases revealed family history indicating strong genetic influence.