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Effect of Transcranial Direct Current Stimulation (tDCS) on Plantar Flexor Spasticity by using H reflex

A spastic ankle reduces walking velocity and mobility resulting in impaired gait and difficulty in ambulation. Increased plantar flexor spasticity has a devasting effect on the dorsiflexion range and also contributes to increased energy consumption during gait. H amplitude as the objective measurement is more accurate in assessing spasticity by using the H reflex. Objective: To determine the effect of various types of tDCS on plantar flexor spasticity by using H reflex and also to know which type of tDCS is more efficient in the reduction of plantar flexor spasticity Methods: A total of 30 participants were included in the study with plantar flexor spasticity. patients were randomized into 4 groups using the chit method. All Patients were evaluated for spasticity grade by using the modified Ashworth scale (MAS). H reflex was assessed for all patients followed by application of Cathodal tDCS for group 1 (n=8), Anodal tDCS for group 2 (n=7), Bi-hemispheric tDCS for group 3 (n=7) and sham tDCS for group 4 (n=8) for about 20 minutes. Post tDCS intervention all patients were reassessed for plantar flexor spasticity by H reflex and MAS scale Results: All the groups have shown significant reduction of spasticity post cathodal tDCS. The mean improvement of cathodal tDCS was found to be -0.9275 anodal tDCS was found to be -0.5229, bi-hemispheric tDCS was found to be -0.3357 and sham tDCS was found to be -0.4988. Conclusion: cathodal tDCS application has shown a reduction of spasticity after tDCS application in plantar flexor spasticity patients. This study concludes that cathodal tDCS over the ipsilesional hemisphere is a treatment modality.

Published by: Dr. Shilpa Khandare, Dr. Sai Priyanka Nerusu, Dr. Tushar J. Palekar

Author: Dr. Shilpa Khandare

Paper ID: V7I3-1633

Paper Status: published

Published: June 2, 2021

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Review Paper

An automated system to limit Covid-19 using facial mask, temperature and age detection

COVID-19 pandemic caused by novel corona virus is spreading until now all over the world. The impact of COVID-19 has been fallen on all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of corona virus where wearing a mask is one of them. In this paper, we propose a system that restrict the spreading of COVID-19 by finding people who are not wearing facial mask in a smart city network where all the public places are monitored with cameras and also detecting the age and temperature of the persons who are entering in public places like malls, restaurants, etc.. While a person without mask is detected, the corresponding authority is informed through the proposed system. This paper presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and MobileNet. It is hoped that our study would be a useful tool to reduce the spreading of this disease for many countries in the world.

Published by: Gajanan Kalambate, Shubham Dhamale, Rohit Jadhav, Lav Patil

Author: Gajanan Kalambate

Paper ID: V7I3-1618

Paper Status: published

Published: June 2, 2021

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Research Paper

Self Help Health Care Chatbot

Chabot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. In this paper, we present the general working principle and the basic concepts of artificial intelligence based Chabot’s and related concepts as well as their applications in various sectors such as telecommunication, banking, health, customer call centers and e-commerce. Additionally, the results of an example Chabot for donation service developed for telecommunication service provider are presented using the proposed architecture.

Published by: Shraddha Shailesh Gawade, Kanika Rajendra Pasi, Sailee Mestry, Sanvi Sopan Patil

Author: Shraddha Shailesh Gawade

Paper ID: V7I3-1616

Paper Status: published

Published: June 2, 2021

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Research Paper

Efficient Low Power FIR Filter Design

A filter may be required to have a given frequency response, or a specific response to an impulse, step, or ramp, or simulate an analog system. Depending on the response of the system, digital filters can be classified into Finite Impulse Response (FIR) filters & Infinite Impulse Response (IIR) filters. The thesis deals with design of generic 30-tap FIR filter on FPGA. The thesis is focused on Design structure and occupied silicon space, needed for implementation of filter in FPGA. The results are IP macros of simple FIR filter that are full configurable using generic parameters. Both macros were verified in a verification environment which consists of test blocks (VHDL) and a comparative model (Matlab). A design of generic FIR filter is described in this work. Next there are described final designs of the IP macros, results and process of the verification, implementation and gate-level verification Design of area and power-efficient high-speeddata path logic systems are one of the most substantial areas of research in VLSI system design. In digital adders, the speed of addition is limited by the time required to propagate a carry through the adder

Published by: Rashmi Kisanrao Bhojane, G. D. Dalvi

Author: Rashmi Kisanrao Bhojane

Paper ID: V7I3-1646

Paper Status: published

Published: June 2, 2021

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Review Paper

Medical image encryption using DNA cryptography

This paper proposed a novel cryptographic method for enhancing the security while transmission of image. Image which covers highest percentage of multimedia data, its protection is at most important. In image encryption methodologies, the pixels of original images are either manipulated or information is laid inside the image using the image as a cover to protect the data from undesired receivers. Scope of the project is to ponder on different ways of securing image data. Being a part of this digital world security becomes the most toughest and important things to handle. On the other hand hacking is also a growing domain which is used to track out a lot of information to solve a lot of digital criminal issues. DNA (Deoxy Ribonucleic acid) molecules, having the capacity to store, process and transmit information, inspires the idea of DNA cryptography. This combination of the chemical characteristics of biological DNA sequences and classical cryptography ensures the non-vulnerable transmission of data. In this paper review has been made about the present state of art of DNA cryptography.

Published by: Rohan N. Kalpavruksha, Roshan N. Kalpavruksha, Bhavani Shankar

Author: Rohan N. Kalpavruksha

Paper ID: V7I3-1614

Paper Status: published

Published: June 2, 2021

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Research Paper

Lung Cancer Detection using Image Processing and CNN

Cancer is known to be one of the most dangerous health problems in the world and among it, lung cancer is known to be the most serious cancer with the smallest survival rate. The lung cancer risk population is also very high as compared to other deadly diseases, for example, cardiovascular diseases. Therefore, early detection of lung cancer is a must for survival. Nowadays, a lot of research has been done using Convolutional Neural Networks in the medical field. Image classification is one of the methods to detect cancer at early stages. First, the datasets for CT Scans are accessed from Kaggle. Images are refined with the pre-processing method. The image dataset will be trained on two different models namely~ Manual CNN and AlexNet. Further, the model producing the highest accuracy will be chosen and the processed images will be used to predict whether the CT scan image is malignant (cancerous), benign (non-cancerous), or normal.

Published by: Anubha Gupta, V. L. Karthikeya Manda, B. Ida Seraphim

Author: Anubha Gupta

Paper ID: V7I3-1606

Paper Status: published

Published: June 2, 2021

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