MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

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The fetal electrocardiogram (f-ECG) beats analysis as well as the heart rate interpretation using the raw ECG signals captured by machine helps in providing the state of the fetus in pregnancy. For timely detection of the fetal arrhythmias, monitoring fetal ECGs constantly is important. In this paper, we are presenting the framework for detection of fetal from maternal ECG based on sparse binary matrix using Compressive Sensing. Additionally, we are presenting the preprocessing algorithm on raw fetus ECG data to remove the noises like impulsive artifacts along with notch filtering for baseline removal. The proposed method is on the basis of sparse representation of the components that are acquired using Independent Component Analysis (ICA) method, which is designed for direct application in the compressed domain. Detection of fetal ECG is performed on the basis of activated atoms in a specially designed Gaussian dictionary. The verification of the proposed framework has been carried out on ten samples of Challenge dataset A by determining QRS detection parameters such as sensitivity, S= 90.62% and positive predictivity, given by P+= 99.15%. © 2018 IEEE.

Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018

Fetal ECG Separation from Abdominal ECG Recordings Using Compressive Sensing Approach

Now-a-days many unauthorized users try to get the protected information and therefore it is necessary to secure our data. Besides, there are also scenarios that data hiding needs to be done in the encrypted domain or combined with the encryption, especially in the age of big data and cloud computing. In previous method first encryption was done and then the room was vacated to hide the data. But there were some errors in data extraction and image recovery. In this paper a novel technique is proposed termed as reversible data hiding (RDH) by which we can hide our data. RDH is applied to encrypted images by which we can properly recover our data and the cover image. The hidden data can be in the form of text or image. In the proposed method we first vacate room to hide data and after encrypting image using certain encryption key the data hider reversibly hides the data whether text or image using data hiding key. In previous method only text was hidden. But the proposed paper is extended to hide the image also in the same reserved space which was used to hide text. The hidden image is also recovered without any errors. The results given in the paper proves that we can exactly recover the hidden data, hidden image and the cover image as and when needed by the receiver. The traditional RDH algorithm used is histogram shifting. By this method we can properly recover hidden data and cover image without any errors. Large amount of data can be hidden as compared to previous method. © 2015 IEEE.