scholarly journals WAVELET BASED FEATURE EXTRACTOR AND ANN BASED CLASSIFIER FOR OPTIMAL ECG INTERPRETATION

Author(s):  
RITU NAZNEEN ARA BEGUM ◽  
AMBALIKA SHARMA

The heart plays the most vital role of supplying nutrients and oxygen in any organism. Any abnormality in its function renders the body to many complications which may sometimes even lead to death. Hence, timely and early diagnosis of any abnormality is extremely important. Another requirement of the hour is the Automatic detection. Several techniques have been developed till date, but efficiency achieved so far leaves room for improvement. This paper also, presents a technique that aims at automatic detection of cardiac abnormality using an Artificial Neural Network. The detection is done on the basis of the wave shapes of different QRS complexes for different arrhythmias which are extracted from the ECG beats using Wavelet Transform. As the Daubechies wavelets are similar in shape to the QRS complex of the ECG, db4 has been used in the above context. The performance accuracies achieved for training, testing known data and unknown data have been found to be 99.7%, 99.2% and 96.2% respectively. The MIT-BIH database has been used for the present study and an altogether of seven different beats have been used for classification.

2021 ◽  
Author(s):  
Arulmozhiselvan L ◽  
Uma E ◽  
Jayasri R

Worldwide human health and economic has been affected due to the ongoing pandemic of corona virus (COVID-19). The major COVID-19 challenges are prevention, monitoring and FDA approved vaccines. IOT and cloud computing play vital role in epidemic prevention and blocking COVID-19 transmission. Mostly lungs and hearts are affected. Other than lungs many parts are affected which are not considered as prominent conversational cue. In this paper, we have proposed smart system that is effective through detection of pancreas, kidney and intestine. It detects acute pancreatitis, protein leak, microscopic blood leak, post infectious dysmotility and gastrointestinal bleeding. The data from the edge devices are collected and mapped into the cloud layer. The cloud consists of COVID-19 patients medical records which compare the user data with the existing patient records. Once the data matches it sends warning message to the user regarding the result of affected parts. Based on the result from KPI system, it analyzes with all data and using deep Convolutional Neural Network (CNN) it classifies whether the pancreas, kidney and intestine are affected or not due to COVID-19.


2021 ◽  
Vol 12 ◽  
Author(s):  
Binwu Hu ◽  
Qiang Zheng ◽  
Jie Wu ◽  
Zhibin Tang ◽  
Jianchun Zhu ◽  
...  

Farmers have been very precious for societies for ages. Their active experiments, valuable knowledge about their surroundings, environment, and crops’ requirements have been a vital part of society. However, the psychological perspectives have been a hole in the loop of farming. Hence, this study has investigated the antecedents of entrepreneurial behaviors of farmers with the mediating risk of their entrepreneurial self-efficacy (ESE). The population chosen for this study was the farming community of suburbs of China, and a sample size of 300 was selected for the data collection. This is a survey study, where a structured questionnaire was adapted on a five-point Likert scale. The data were collected from the farming community to know their psychological and behavioral preferences about their profession. This study has produced interesting results that education, training, and intrinsic motivation play a vital role in farmers’ ESE, affecting their entrepreneurial behaviors. This study will add to the body of knowledge and provide an eminent path for emerging entrepreneurs to find more mentorship opportunities to overcome the limitations in upcoming endeavors influencing education and training.


When we talk about the vital role of oxygen, we forget that the vital role of oxygen is to interact with glucose in the cells catalyzed by many enzymes to generate energy. The main source to generate energy in cells is from glucose, enough glucose is as vital as enough oxygen. Poor blood circulation may come from the blocking points in the vessels or from low blood pressure or low blood glucose. In the body, all the billions of cells of all body systems need the energy to have normal functions; which is mainly generated from metabolizing glucose. When the cells hunger for glucose, it can start to use structure stored glucose or stored lipids or polysaccharides or structure lipid or structure protein. To take stored glucose, the body needs good blood circulation and right body temperature. The people with chronic illness often have hormonal imbalanced – which need glucose as the main source of energy also, and poor blood circulation and disorder of thermoregulation. If we do not stop these disorders, these people may have metabolic disorders or metabolic diseases. The main energy source for the cells is from the catabolism of glucose. So any problem for glycemia and oxygen saturation will make the billions of cells of the body are out of balance. During practice Vietnamese Qi gong combining with traditional medicine, the author realizes that in just ten minutes, just by removing trigger point and balancing metabolic reactions, we can deal easily most of the symptoms of fatigue, nerve pain, chronic illness, diabetes, fibromyalgia, Alzheimer’s diseases, Vestibular disorder, and Neurodegenerative Diseases.


Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1832
Author(s):  
Wojciech Sitek ◽  
Jacek Trzaska

Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview of these publications. Attention was paid to critical issues related to the design of artificial neural networks. There have been presented our suggestions regarding the individual stages of creating and evaluating neural models. Among other things, attention was paid to the vital role of the dataset, which is used to train and test the neural network and its relationship to the artificial neural network topology. Examples of approaches to designing neural networks by other researchers in this area are presented.


2018 ◽  
Author(s):  
Tiffany Hwu ◽  
Jeffrey L. Krichmar

AbstractThe ability to behave differently according to the situation is essential for survival in a dynamic environment. This requires past experiences to be encoded and retrieved alongside the contextual schemas in which they occurred. The complementary learning systems theory suggests that these schemas are acquired through gradual learning via the neocortex and rapid learning via the hippocampus. However, it has also been shown that new information matching a preexisting schema can bypass the gradual learning process and be acquired rapidly, suggesting that the separation of memories into schemas is useful for flexible learning. While there are theories of the role of schemas in memory consolidation, we lack a full understanding of the mechanisms underlying this function. For this reason, we created a biologically plausible neural network model of schema consolidation that studies several brain areas and their interactions. The model uses a rate-coded multilayer neural network with contrastive Hebbian learning to learn context-specific tasks. Our model suggests that the medial prefrontal cortex supports context-dependent behaviors by learning representations of schemas. Additionally, sparse random connections in the model from the ventral hippocampus to the hidden layers of the network gate neuronal activity depending on their involvement within the current schema, thus separating the representations of new and prior schemas. Contrastive Hebbian learning may function similarly to oscillations in the hippocampus, alternating between clamping and unclamping the output layer of the network to drive learning. Lastly, the model shows the vital role of neuromodulation, as a neuromodulatory area detects the certainty of whether new information is consistent with prior schemas and modulates the speed of memory encoding accordingly. Along with the insights that this model brings to the neurobiology of memory, it further provides a basis for creating context-dependent memories while preventing catastrophic forgetting in artificial neural networks.


2020 ◽  
Vol 21 (8) ◽  
pp. 799-806 ◽  
Author(s):  
Chen Zheng ◽  
Ting Liu ◽  
Huihui Liu ◽  
Jing Wang

In the body, millions of cells die and proliferate each day to maintain normal function and cooperation of all tissues, organs, and systems. Thus, programmed cell death, or apoptosis, is critical to sustain growth, development, and body health. The vital role of B-cell leukemia/lymphoma-2 (BCL-2) family proteins in apoptosis has been identified. The BCL-2 family includes both pro- and antiapoptotic proteins, which are structurally and functionally related, containing up to four BCL-2 homology (BH) motifs (BH1-4). There are also some nutritional factors that regulate apoptosis via the BCL-2 family proteins. In this review, the BCL-2 family proteins and their apoptosis-inducing mechanism have been discussed, along with the nutrient factors that regulate apoptosis through the BCL-2 family proteins.


Author(s):  
S. Vanitha

Water is one of most essential product for our life. Without water any living beings cannot live for a longer period of time. Water is one of the important top five sources for all. Role of water cannot be measured. Such the vital role is done by water in the body. It gives strength, clear all unnecessary contains from our body, refresh our flesh, and maintain correct temperature and so on. It is very much important that drinking a good water. These days, water is highly polluted due to the industrial growth. Therefore, water is sold in the packet. As it is little difficult to bring water wherever we go, people prefer to buy this packaged water. After drinking the water, people simply throw the packet in the dustbin. It creates the environment pollution problem. Now, green management has very important to protect the world from pollution. It urges the scholar to study about the importance of the packet water and how can be protected our environment from these waste. It also deals with giving suggestion to use packet water without pollute the environment.


2021 ◽  
Author(s):  
Abhishesh Kumar Mehata ◽  
Matte Kasi Viswanadh ◽  
Vishnu Priya ◽  
Vikas ◽  
Madaswamy S Muthu

COVID-19 is an infectious and highly contagious disease caused by SARS-CoV-2. The immunotherapy strategy has a great potential to develop a permanent cure against COVID-19. Innate immune cells are in constant motion to scan molecular alteration to cells led by microbial infections throughout the body and helps in clearing invading viruses. Harnessing immunological targets for removing viral infection, generally based on the principle of enhancing the T-cell and protective immune responses. Currently-approved COVID-19 vaccines are mRNA encapsulated in liposomes that stimulate the host immune system to produce antibodies. Given the vital role of innate immunity, harnessing these immune responses opens up new hope for the generation of long-lasting and protective immunity against COVID-19.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liling Deng ◽  
Chenzhen Du ◽  
Peiyang Song ◽  
Tianyi Chen ◽  
Shunli Rui ◽  
...  

Foot ulcers are one of the most common and severe complication of diabetes mellitus with significant resultant morbidity and mortality. Multiple factors impair wound healing include skin injury, diabetic neuropathy, ischemia, infection, inadequate glycemic control, poor nutritional status, and severe morbidity. It is currently believed that oxidative stress plays a vital role in diabetic wound healing. An imbalance of free radicals and antioxidants in the body results in overproduction of reactive oxygen species which lead to cell, tissue damage, and delayed wound healing. Therefore, decreasing ROS levels through antioxidative systems may reduce oxidative stress-induced damage to improve healing. In this context, we provide an update on the role of oxidative stress and antioxidants in diabetic wound healing through following four perspectives. We then discuss several therapeutic strategies especially dietary bioactive compounds by targeting oxidative stress to improve wounds healing.


2017 ◽  
Vol 8 (1) ◽  
pp. 15-20
Author(s):  
Giridhari Pal ◽  
Vishwajeet Rohil ◽  
Razi Akhtar ◽  
Tapan Behl ◽  
Sudha Bharati ◽  
...  

Background: Stress is the psycho-physiologic reaction of the body to diverse stimuli including emotional or physical stimuli that imbalance the homeostasis and is also known to trigger various stress markers. Despite the stressors of different types, chronic stress in particular, is known to influence the physiological milieu and breakdown of adaptive mechanisms consequently aggravating the morbid states.  Aims and Objectives: The present study was designed to evaluate the modulatory role of stress marker by N-nitro-L-arginine-methyl ester (L-NAME) and L-Ascorbic acid (L-AA) in experimental model of chronic restraint stress (RSx21) in Wistar rats.Materials and Methods: MDA and GSH levels were determined by the method of Okhawa et al 1979 and Ellman 1959 respectively, the SOD and catalase levels were estimated by the method of Nandi and Chatterjee 1988 and Aebi 1984 respectively.Results: Results from our study reveal the significant enhancement of malondialdehyde (MDA) level while significant attenuation of superoxide dismutase (SOD), reduced glutathione (GSH) and catalase levels in chronic stress group compared with vehicle (non-stress) group. The MDA level was found to be increased by L-NAME (10 and 50 mg/kg) in chronic restraint (RSx21) induced rats as compared to vehicle treated RS group. Antioxidant L-AA (100 and 200 mg/kg) significantly reduced MDA level in chronic stress situation. However, L-NAME and L-Ascorbic Acid were found to cause an increase in level of plasma SOD, GSH and catalase when compared with vehicle treated RS group. On the other hand, L-AA (100 and 200 mg/kg) reversed these RS induced changes in these oxidative parameters.Conclusions: Hence, results from the study underlined the intricate role of antioxidants as evidenced by reversal of oxidative stress markers that command a vital role in the development of morbid condition.Asian Journal of Medical Sciences Vol.8(1) 2017 15-20


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