Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network

Cardio-vascular diseases are one of the foremost causes of mortality in today’s world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives complete information about the function of the heart including the amplitude and time interval of P-QRST-U segment. This article recommends a novel approach to identify the location of thrombus in culprit artery using the Information Fuzzy Network (IFN). Information Fuzzy Network, being a supervised machine learning technique, takes known evidences based on rules to create a predicted classification model with thrombus location obtained from the vast input ECG data. These rules are well-defined procedures for selecting hypothesis that best fits a set of observations. Results illustrate that the recommended approach yields an accurateness of 92.30%. This novel approach is shown to be a viable ECG analysis approach for identifying the culprit artery and thus localizing the thrombus

Addressing the challenges of Visually Impaired using IoT

Internet of Things is a new revolution of the Internet. IoT allows networked objects to be sensed and controlled remotely, creating opportunities for more direct integration of the physical world into computer-based systems, resulting in reduced human intervention. People with complete blindness or low vision often have a difficult time self-navigating in unusual environments. In fact, mobility is one of the biggest challenges for visually Impaired. IoT offers the assistance and support to the visually impaired people to achieve a quality life allowing them to involve in social activities. Assistive IoT technologies are powerful tools to increase independence and improve participation. Therefore, the purpose of this paper is to analyze how people with visual impairment can interact with and benefit from the IoT

CBDC: EMPIRICAL STUDY ON DETERMINANTS OF CBDC USAGE PURPOSE AMONG CONSUMERS

Abstract The initiative from the government of India in making India into a digitally vibrant nation is highly admirable. India economic growth over the decade is raising at higher rate, it due to adoption of digitalization in every part of economy from banking, business, and international payment. Banks are updating according to needs and demands of the consumers providing amenable services at finger tips of the consumers. From small vendor to high business transitions are carry forward with the help of digital transition or digital currency. The primary objective of the study is determining CBDC usage purpose among consumers. The study used convenient sampling method and covered 160 banking consumers using digital banking. The findings of the study show Determinants of CBDC Usage Purpose among Consumers have been segregated into two dominant dimensions namely Payment Terminal and Financial Statibility Factor which dealing with cost of using online banking, usage of the same at all branches both nationally and internationally and security of the banking. The second factor is Usage and Payment Efficiency Factor which deals with usage of the digital banking, efficiency of the payment over the geographical location and ability of use the same without internet connections. Consumer Perception on CBDC have been segregated into two dominant dimensions namely Expectancy and Performance Factor which deals with expectancy of the consumers over usage of CBDC, knowledge on using digital currency and trust over the banking while using digital currency. A positive and significant impact of Consumer Perception on CBDC on Determinants of CBDC Usage Purpose among Consumers has been identified

Solitary Mandibular Lesion as the Presenting Sign of Multiple Myeloma: A Rare Case Report

Multiple myeloma (MM) is a rare hematological malignancy caused by monoclonal proliferation of plasma cells in the marrow of various bones. It is more common in men in the sixth and seventh decade of life. Patients usually present with bone pain, fatigue, recurrent infections, renal failure and nervous system dysfunction. Rarely, oral lesions may be the initial sign of multiple myeloma presenting with pain, jaw swelling, tooth mobility, multiple punched out radiolucencies and parasthesia. A case of multiple myeloma occurring in a 71 year old male patient who presented with a solitary lesion in the mandible is presented here. This paper highlights the importance of knowing oral manifestations of multiple myeloma and interdisciplinary approach required for early diagnosis

Florid Cemento-Osseous Dysplasia - A dilemma to intervene or not?!

Florid cemento - osseous dysplasia (FCOD) is a benign, non-neoplastic lesion characterized by multiple sclerosing masses within the jaw bones. We present an uncommon case of FCOD in a 37-year-old Indian woman incidentally discovered on a radiograph. She presented with bilaterally symmetrical lesions of variable radiodensities in the posterior mandible. In this asymptomatic case, the diagnosis of FCOD was made radiologically as biopsy is contraindicated. No treatment was imparted as the lesions were asymptomatic and the patient continues to be reviewed annually. The rationale of the present work is to describe this uncommon entity with only eleven reported cases noted in the literature amongst Indians. The case is unusual in its combination of the disease itself (FCOD) and the race (Indian). The confirmative role of radiography without histopathological evaluation and the need for no intervention is emphasized.   &nbsp

INTERPRETATION OF ECG USING MODIFIED INTUITIONISTIC FUZZY C-MEANS CLUSTERING FOR ARRHYTHMIA DATA

An electrocardiogram (ECG) is defined as a measure of variation in the electrical activity of the heart and is broadly used in detection and classification of heart-related diseases. The abnormalities present in the heart can be easily analyzed through the variation in electrical signal captured from the heart through impulse waveforms which are generated by certain specialized cardiac tissues. Different authors have developed various clustering models and classification techniques for detecting heart-related diseases. However there still exists a limitation in terms of accuracy. In this article, we proposed a new modified unsupervised clustering algorithm for effective detection of heart diseases. To select the best discriminate feature for effective learning, this article make use of feature selection methods such as principal component analysis, linear discriminative analysis, and regularized locality preserving indexing. The reduced features set are clustered using modified intuitionistic Fuzzy C-means clustering (mifcm) method. The experiment results proved that the proposed method effectively identifies the discriminative features. Further the obtained accuracy is also better when compared to other existing method

Comparison of pattern of self-medication among urban and rural population of Telangana state, India

Background: Self-medication is one of the components of self-care, which may treat the disease or result in worsening of the condition due to irrational use of drug.1 In developing countries like India, self-medication is a common practice as it provides a low-cost alternative for people who cannot afford the high cost of clinical service, and is time efficient.Methods: A total of 110 participants completed the study. A printed questionnaire was given to those who were willing to participate in the study and came to buy medicines without consulting a doctor to various pharmacy outlets.Results: Among the group of drugs used antibiotics were the common drugs used in rural area (74%) and cough suppressants (50%) in urban area. Symptoms for opting self-medication were fever and common cold in both the groups. Individuals in both areas took self-medication based on their previous prescriptions (rural 42% vs urban41.6%) and advertisements. Rural individuals preferred self-medication with the opinion of saving time and urban people felt that it was less expensive.Conclusions: There is a difference in the pattern self-medication among rural and urban individuals. It is also to be noted that use of antibiotics may result in problems related to drug resistance. So, it would be advisable to restrict the sale of antibiotics as over the counter drugs

Reduction of Color and COD of Anaerobically Treated Distillary Wastewater by Electrochemical Method

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Investigating the Performance of Routing Protocols Using Quantitative Metrics in Mobile Ad Hoc Networks

ABSTRACT: Mobile ad hoc network is a collection of wireless mobile nodes which are capable of exchanging information dynamically among themselves without the need of any fixed infrastructure. Inorder to transfer data among these mobile nodes, the process of routing is adopted, which makes use of a routing protocol inorder to select a path along the mobile nodes in the network, through which data packets are sent. Due to dynamic nature of mobile ad hoc networks, links setup between the mobile nodes break most frequently and hence a routing protocol must be efficient enough in handling such situations and should deliver better performance in every aspect. In this paper, the performance of three routing protocols AODV, DSDV and DSR has been analysed using Network Simulator-2. Their performance is evaluated using Quantitative metrics -packet delivery ratio, average end-to-end delay, normalized routing load and jitter by varying node density and node mobility. The simulation results the routing protocol which gives better performance in various scenarios

Functional hard-boiled candy formulation employing Plackett Burman design

230-236Plackett-Burman experimental design was employed as a screening experiment with five variables for preparation of hard boiled candy. The effect of varying the levels of hard-boiled candy ingredients such as ratio of liquid glucose (30-40%): sugar (60-70%) addition of nutraceuticals namely green tea extract (0.5-1%) and Amla powder (0.5-1%) along with salt (0.1 to 0.2%) on the physicochemical responses such as hardness, colour, total polyphenol, antioxidant radical scavenging, vitamin C and overall quality were studied. Results indicated that a formulation of: sugar 70%, liquid glucose 30%, amla powder and green tea extract 1% and salt 0.1% was considered as the optimum for obtaining a hard-boiled candy (HBC) with highest overall quality. The present study showed that the hard-boiled candy with added green tea extract and Amla powder were natural sources of polyphenols, vitamin C and antioxidants