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Review on bio-signal processing software packages

Bio-signal processing and analysis holds great significance in present day medical practice. In recent years, many processing techniques and different algorithms have been developed to help doctors to find new information added in bio- signals which is not easily noticeable in the raw data and hence aid in diagnosis of any ailments. Bio-signal processing is a rapidly evolving field with new processing technique coming out every other day which in turn makes it more and more difficult to be up to date. Signals format, algorithms implementation and comparison, artifacts and various other aspects make the learning of this field a long-drawn process, and in many situations plenty of software components are required to process or visualize bio-signals. In this paper we discuss open sourced, bio signal processing software packages that offer a variety of bio-signal processing algorithms: domain transforms, filtering, wave detection, basic operators, exchange signals format readily in their modules. The objective of this paper is to become an easily referable tool shed that discusses various options of software packages in brief for medical practice or biomedical educational purposes and to evaluate its compatibility with any architecture.

Published by: Ramalingam H. M., Nagesh H. R., M. Pallikonda Rajasekaran

Author: Ramalingam H. M.

Paper ID: V6I5-1286

Paper Status: published

Published: October 11, 2020

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Research Paper

A study on demographic parameters sex ratio and literacy rate of scheduled caste people of Maharashtra : Census-2011 statistical approach

Caste is an important factor in Indian social system. From ancient times, the caste is a factor which is considered a standard for ascertaining identity of each person. The nature of social, cultural, economic and political is decided on the basis of caste system. Hence, caste system is an undivided factor of Indian social structure and it is the basis of Indian social structure.. Over the time, Varna system and caste system were generated in India and Indian society got blocked in Varna and caste system. The constitution of India is enriched with several provisions for schedule caste and schedule tribes to safeguard and promote their cultural, social, educational, economic and political interests in order to bring them in mainstream of the nation. This paper aims to study the demographic parameters sex ratio and literacy rate in SC’s of Maharashtra state of India. In Maharashtra there are total 59 Scheduled caste as per census-2011.Findings of this study was Mahar caste recorded higher population as compare with other. SC’s sex ratio become higher than state sex ratio. But the SC’s literacy rate 69.94 was much lower than state literacy rate which is 82.34. The Female situation of SC’s community was very critical which is shows that because of female and in SC’s they can not take any education .These community needs more educational policies from government to uplift there social and economical condition. Spearman rank correlation coefficient shows that there is strong relationship between sex ratio and literacy rate.

Published by: Shubhangi Sutar

Author: Shubhangi Sutar

Paper ID: V6I5-1279

Paper Status: published

Published: October 11, 2020

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Others

Gandhian philosophy: Relevance in the contemporary world (Ethics and Ethics through Gandhism)

Mahatma Gandhi was a free-spirited Karmayogi and a true man in true sense. Gandhi’s has acquired a unique place in the proud congregation of those great teachers and preachers who have given a new light to the field of education. An unbiased study of Gandhi's ideas related to education and morality proves that these ideas are the starting point of education theory and practice. Gandhi’s considered character-building the goal of all knowledge. They call a citizen with the high moral character the power of the nation. Therefore, firstly the goal of education should be to develop morality. Gandhi’s used to emphasize the purity of the means for achieving the goal. In his view, developing the best character can be useful for the development of the country. Their influence has not only been limited to India but also read on other countries. Today, the whole world is established and marching towards a society without class and all are eager to enter the wide spectrum of religion. Many of his rules apply worldwide and they can never be outdated. His rule of non-violence was as relevant to India as it is for the rest of the world even today, for which the whole world conference and agreements etc. are trying in some form. The morality that Gandhi’s wanted to explain to the world was humanity. He insisted on a human being to become human. Gandhi's ethics is going on even after 150 years of his birth because his philosophical thought is based on the ground of behavior. The essence of his life can be understood in 5 great words Truth, Non-violence, Satyagraha, Fearlessness and God.

Published by: Radha Vyas

Author: Radha Vyas

Paper ID: V6I5-1221

Paper Status: published

Published: October 11, 2020

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Research Paper

Auto UI Code Generation using AI

HTML is extremely fun to write with, it is very easy to learn and therefore gives the power to create any website design in the world! But sometimes designing a web page and to make it look attractive is quite boring. For some people, web designing can be a little daunting, where they would be able to get the functionalities right but not be able to make it look pretty. This is where the system ‘Auto UI code generation using AI’ can be used where the user could physically draw the user interface he wishes to display and the system could intelligently generate the same on an actual visual screen and also provide the HTML code for it.

Published by: Manu K. J., Nihaarika A. Jagadish, Sreenidhi K. R., Murudeshwar Barole, Jalaja G.

Author: Manu K. J.

Paper ID: V6I5-1320

Paper Status: published

Published: October 9, 2020

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Research Paper

Correlation between Wii Fit balance and conventional balance in Parkinson

Background: Parkinson disease (PD) is a progressive neurodegenerative movement disorder caused by a lack of dopamine production in the substantianigra. The cardinal features of this disorder include bradykinesia, gait disturbance, rigidity, and tremors. Method: A Randomized control trial was conducted of the patients consulted to SKH & diagnosed with Parkinson's disease. Selection of 120 patients based on the criteria and informed consent was taken from the participants and divided as Experimental group & control group. Pre and Post Evaluation of patient was done with BBS and UPDRS after 2weeks. Result: The mean difference of BBS in conventional group was 3.633±3.16 whereas in Wii Fit group was 5.05±3.16 To compare the mean difference between two groups, Independent t-test was applied and its p-value was obtained. There was statistically significant difference found between these two groups (P value 0.016). The mean difference of UPDRS in conventional group was -2.63±2.66 whereas in Wii Fit group was -4.53±3.33 To compare the mean difference between two groups, Independent t-test was applied and its p-value was obtained. There was statistically significant difference was found between these two groups (P value 0.001). Conclusion: Both the treatment method were effective in Improving balance in Parkinson’s disease but the effect of Wii fit balance training is more in comparison to Conventional balance training.

Published by: Dr. Bhavin M. Patel, Dr. Ajeet Kumar Sharan

Author: Dr. Bhavin M. Patel

Paper ID: V6I5-1327

Paper Status: published

Published: October 9, 2020

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Research Paper

Abnormal driving behavior detection via Deep Learning Approaches

During this period detection of abnormal driving is more important. It give safety to passengers and drivers in vehicle . In our proposed method deep learning methods used for abnormal driving behavior prediction. Deep learning classification methods are more applicable of various fields. The applications are computer vision, speech finding, language processing, audio identification, medical image analysis, bioinformatics and self driving cars. Our simplified method we use three deep learning methods such as CNN, Deep Residual Network and Visualized Geometric Group16. The CNN extract high level features such as hidden object in an image and doesn’t need hand designed features. For the purpose we use one dataset that contain 22,424 color frames (images).In the existing system that use novel deep learning fusion methods to detect abnormal driving behavior and the accuracy of that dataset is 82%. Our proposed method revealed an accuracy 87.44%. So new method more better than the existing method.

Published by: Roy T. P., Ancy Omanakuttan

Author: Roy T. P.

Paper ID: V6I5-1318

Paper Status: published

Published: October 9, 2020

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